基于双Mach-Zehnder干涉仪结构的光纤管道安全预警系统建模及定位研究
|
摘要
油气长输管道作为油气资源重要的输送手段,其总里程数随着石油消费和油气工业的发展快速增长,其安全问题也越来越受到人们的重视。课题组研究的分布式光纤油气管道安全预警系统可在管道发生泄漏前预判威胁管道安全的入侵事件,并对其进行准确定位,及时通知工作人员采取措施加以制止,可防患于未然,避免油气泄漏所带来的环境污染和经济损失,具有巨大的社会和经济效益。
该系统在实验过程中发现,用于事件定位的两路信号的相关性呈随机变化状态,如果相关性恶化,则会导致定位误差突然增大,严重影响系统的稳定运行。本文对分布式光纤油气管道安全预警系统的琼斯矩阵模型和定位过程进行了深入的研究,主要的研究内容如下:
(1)分析了单模光纤的偏振特性,建立了单模光纤的等效琼斯矩阵模型。利用单模光纤的等效琼斯矩阵,建立了分布式光纤油气管道安全预警系统的模型,并对该模型进行了仿真分析,找到了影响相位偏移和幅度衰落的因素,指出相位偏移(简称相移)是导致定位误差增大的原因。
(2)根据系统模型,提出了基于双臂检测信号相关系数的偏振控制方法,用于检测信号的有源相移补偿。详细研究了采用全局搜索算法和模拟退火算法控制双臂检测信号相关系数的工作原理,通过实验确定了全局搜索算法的搜索步长和模拟退火算法的初始温度、最大搜索步长、温度更新常数等关键参数。经现场实验验证,两种偏振控制算法均可以将双臂检测信号的相关系数稳定在1附近,且模拟退火算法比全局搜索算法具有更快的收敛速度和更高的控制效率。
(3)根据系统的琼斯矩阵模型,提出了一种采用333耦合器的相位软解调解决方法,将正、反两个光路相移前的信号解调出来用于时延估计,可消除双臂检测信号的相位偏移。现场实验证明,该方法可以有效地提高定位精度,维持系统长期稳定运行。
(4)提出了基于三阶累积量和自适应滤波器的时延估计方法用于管道入侵事件的定位。研究了三阶累积量和自适应滤波器用于时延估计的原理和算法,利用三阶累积量抑制高斯相干噪声,再通过自适应滤波器抑制非高斯相干噪声并获得时延估计,可明显的提高定位精度和定位一致性。
(5)研制了两种分布式光纤油气管道安全预警系统,并安装于实际成品油和天然气长输管道。现场实验及长期运行结果表明,上述方法能保证系统长期、稳定、有效运行。
As an important means of transporting oil and gas resources, the length of pipeline is growthing rapidly due to the development of oil and gas industry and consumption. And people pay more and more attention to pipleline’s security issues. The distributed optical fiber oil and gas pipeline security pre-warning system studied by our research group, can perform pre-warning monitoring and locating the abnormal dangerous events that happens nearby the oil and gas pipeline.so that the pipeline administrative staff could take preventive measures to stop threatening events to avoid safe accidents. This will bring great social and economic benefits.
In the system experitments, the correlation of the two signals, which are used in location process, is often in the state of random variation. This will lead large location error, and affect the stability of the system operating. In this paper, the system’s Jones matrix model and the location process are deeply studied. The main contents are as follows:
(1) The polarization properties of single-mode optical fiber are studied, and then the single-mode fiber Jones Matrix model is established. The model of the system is established using the single mode fiber model, and then the model simulation is analyzed to find the reasons of phase shift and polarization fading. Phase shift is the the mainly cause of large location error.
(2) Based on the Jones Matrix model, an active phase shift compensation method, which uses a polarization controller to control polarization states of output light, is proposed. The global search algorithm and simulated annealing algorithm based on the correlation coefficient of two signals are studied, and then some key parameters, such as the initial temperature, the maximum step length, the temperature update constant, are determined through the experiment. The on-site experiment shows that the two polarization control algorithms can stabilize the correlation between the two detection signals. But the simulated annealing method has faster response speed and greater control efficiency than global search method.
(3) Based on the Jones Matrix model, a phase passive soft demodulation solution using 3×3 couplers is proposed. By this soft demodulation, both clockwise and counterclockwise signals are demodulated to estimate the time delay. The on-site experiments show that this method can improve location accuracy, maintain long-term stable operation of the system.
(4) A time delay estimation method for locating the pipelines invasionevents, based on third-order cumulant and adaptive filter is proposed. The third-order cumulants and adaptive filters algorithm for time delay estimation are studied.In order to improve the events locating accuracy and consistency, the third-order cumulant is used to abate Gaussian coherent noise, and the adaptive filter is used to abate non-Gaussian coherent noise and get time delay estimation.
(5) Two kinds of distributed fiber oil and gas pipeline safety pre-warning system are developed and installed on the actual long-distance pipeline. The on-site experiments and long-term operation results show that the methods proposed in this paper can ensure the system operating with long-term stable and effective.
该系统在实验过程中发现,用于事件定位的两路信号的相关性呈随机变化状态,如果相关性恶化,则会导致定位误差突然增大,严重影响系统的稳定运行。本文对分布式光纤油气管道安全预警系统的琼斯矩阵模型和定位过程进行了深入的研究,主要的研究内容如下:
(1)分析了单模光纤的偏振特性,建立了单模光纤的等效琼斯矩阵模型。利用单模光纤的等效琼斯矩阵,建立了分布式光纤油气管道安全预警系统的模型,并对该模型进行了仿真分析,找到了影响相位偏移和幅度衰落的因素,指出相位偏移(简称相移)是导致定位误差增大的原因。
(2)根据系统模型,提出了基于双臂检测信号相关系数的偏振控制方法,用于检测信号的有源相移补偿。详细研究了采用全局搜索算法和模拟退火算法控制双臂检测信号相关系数的工作原理,通过实验确定了全局搜索算法的搜索步长和模拟退火算法的初始温度、最大搜索步长、温度更新常数等关键参数。经现场实验验证,两种偏振控制算法均可以将双臂检测信号的相关系数稳定在1附近,且模拟退火算法比全局搜索算法具有更快的收敛速度和更高的控制效率。
(3)根据系统的琼斯矩阵模型,提出了一种采用333耦合器的相位软解调解决方法,将正、反两个光路相移前的信号解调出来用于时延估计,可消除双臂检测信号的相位偏移。现场实验证明,该方法可以有效地提高定位精度,维持系统长期稳定运行。
(4)提出了基于三阶累积量和自适应滤波器的时延估计方法用于管道入侵事件的定位。研究了三阶累积量和自适应滤波器用于时延估计的原理和算法,利用三阶累积量抑制高斯相干噪声,再通过自适应滤波器抑制非高斯相干噪声并获得时延估计,可明显的提高定位精度和定位一致性。
(5)研制了两种分布式光纤油气管道安全预警系统,并安装于实际成品油和天然气长输管道。现场实验及长期运行结果表明,上述方法能保证系统长期、稳定、有效运行。
As an important means of transporting oil and gas resources, the length of pipeline is growthing rapidly due to the development of oil and gas industry and consumption. And people pay more and more attention to pipleline’s security issues. The distributed optical fiber oil and gas pipeline security pre-warning system studied by our research group, can perform pre-warning monitoring and locating the abnormal dangerous events that happens nearby the oil and gas pipeline.so that the pipeline administrative staff could take preventive measures to stop threatening events to avoid safe accidents. This will bring great social and economic benefits.
In the system experitments, the correlation of the two signals, which are used in location process, is often in the state of random variation. This will lead large location error, and affect the stability of the system operating. In this paper, the system’s Jones matrix model and the location process are deeply studied. The main contents are as follows:
(1) The polarization properties of single-mode optical fiber are studied, and then the single-mode fiber Jones Matrix model is established. The model of the system is established using the single mode fiber model, and then the model simulation is analyzed to find the reasons of phase shift and polarization fading. Phase shift is the the mainly cause of large location error.
(2) Based on the Jones Matrix model, an active phase shift compensation method, which uses a polarization controller to control polarization states of output light, is proposed. The global search algorithm and simulated annealing algorithm based on the correlation coefficient of two signals are studied, and then some key parameters, such as the initial temperature, the maximum step length, the temperature update constant, are determined through the experiment. The on-site experiment shows that the two polarization control algorithms can stabilize the correlation between the two detection signals. But the simulated annealing method has faster response speed and greater control efficiency than global search method.
(3) Based on the Jones Matrix model, a phase passive soft demodulation solution using 3×3 couplers is proposed. By this soft demodulation, both clockwise and counterclockwise signals are demodulated to estimate the time delay. The on-site experiments show that this method can improve location accuracy, maintain long-term stable operation of the system.
(4) A time delay estimation method for locating the pipelines invasionevents, based on third-order cumulant and adaptive filter is proposed. The third-order cumulants and adaptive filters algorithm for time delay estimation are studied.In order to improve the events locating accuracy and consistency, the third-order cumulant is used to abate Gaussian coherent noise, and the adaptive filter is used to abate non-Gaussian coherent noise and get time delay estimation.
(5) Two kinds of distributed fiber oil and gas pipeline safety pre-warning system are developed and installed on the actual long-distance pipeline. The on-site experiments and long-term operation results show that the methods proposed in this paper can ensure the system operating with long-term stable and effective.
引文
[1]余洋,2007年中国油气管道发展综述,国际石油经济,2008,3:45~51
[2]陈鹏超,长输管道安全预警系统若干关键技术研究:[博士学位论文],天津大学,2009
[3]郑敏,朱成果,我国油气资源及对国民经济发展的影响研究,中国矿业,2006,15(11):9~11
[4]蒲明,2009年我国油气管道新进展,国际石油经济,2010,3:14~20
[5]杨祖佩,推进管道技术发展的有关问题的研究,管道技术与设备,1994,6:1~4
[6]臧铁军,臧天红,我国管道运输的发展概况,管道技术与设备,1998,4:1~4
[7]梅云新,中国管道运输的发展与建设,交通运输系统工程与信息,2005,5(2):108~115
[8]马志祥,梅云新,我国油气长输管道的技术现状及差距分析,油气储运,2004,23(3):1~4
[9]马保松,曾聪,世界管道物流运输的发展现状及关键技术分析,世界科技研究与发展,2004,12:48~52
[10] D. Stein,B. Schoesser. Development of Capsule Pipeline and Tube Transportation Systems,Proc. Of the 3rd Int. Sym. on Under-ground Freight Transportation by Pipelines and other Tube/Tunnel Systems,Sept. 2002
[11]秦晓,中国能源安全战略中的能源运输问题,中国能源,2004,26(7):4~7
[12]杨承汉,我国成品油管道运输发展的几个问题,油气储运,1994,13(2):8~11
[13]倪晓阳等,俄罗斯石油开采和长输油气管道的事故分析及对中国的启示,地质科技情报,2005,24(7):59~62
[14]王玉梅,郭书平,国外天然气管道事故分析,油气储运,2000,19(7):5-12
[15]王继强,国内外油气管道事故比较分析,科技创新导报,2008,28:104~105
[16]毛建等,油气管道第三方破坏人为因素分析研究,石油工业技术监督,2010,1:12~15
[17]吕宏庆,李均峰,管道第三方破坏原因及预防措施,天然气工业,2005,25(12):4~5
[18]刘廷元,试论大西南成品油管道工程,天然气与石油,1995,13(2):5~7
[19] M.S.Yoon et al. Leak Detection Performance Specification. Pipeline Engineering. ASME 1991, 34:21~26
[20]郑朝霞,国内外管道运输情况综述,物流技术,2003(2):10~11
[21]钱建华,关于中国石化油气管道发展的思考,油气储运,2003,22(9):18~21
[22]潘家华,中国的能源问题和国家石油储备,油气储运,2004,23(5):1~5
[23]陈华波,涂亚庆,输油管道泄漏检测方法综述,管道技术与设备,2000,(1):38~41
[24] Hurt N H,Stand-alone Sensors Monitor for Combustible Gas Leaks,Pipe Line Industry, 1991,74(1):65~66
[25]李炜等,天然气管道泄漏点的定位检测方法研究,甘肃工业大学学报,2003,29(4):84~87
[26]苏欣,袁宗明,范小霞,油气长输管道检漏技术综述,石油化工安全技术,2005,21(4):14~17
[27]张布悦等,输油管线泄漏检测和定位技术综述,上海海运学院学报,2001,22,(3):13~21
[28]靳世久,王立宁,李健等,原油管道漏点定位技术,石油学报,1998,19(3):93~97
[29]王立坤,原油管道泄漏检测若干关键问题研究:[博士学位论文],天津大学,2002
[30]程载斌,王志华,马宏伟,管道应力波检测技术及研究进展,太原理工大学学报,2003,34(4):426~430
[31]张士锋,石油工业中长距离油气运输管道的泄漏检测方法以及清洗技术,科技天地,2010,1:80~83
[32] L.Billmann, R.Isermann, Leak Detection Methods for Pipelines, Automatica, 1987,23(3):381~385
[33]孙洁娣,温江涛等,基于地震动信号的管道安全监测系统的研究,测试技术学报,2008,22(03):211~214
[34]孙洁娣,温江涛等,基于D-S证据理论的管道安全监测数据融合技术的研究,传感技术学报,2007,20(2):404~407
[35]希拉德,陈积懋,余南廷,超声检测新技术,科学出版社,北京1991:100~103
[36] Jun Zhang,Michael Twomey,Statistical Pipeline Leak Detection Techniques for All Operating Conditions,26th Environment Symposium & Exhibition,California,March,2000:27~30
[37] A.J.Rogers, Distributed optical-fiber sensor, J.Phys.D: Appl. Phys,1986,(19):2237~2255
[38]王延年,油气管线泄漏监测分布式光纤传感器的研究,西安交通大学学报,2003(9):933~936
[39]常连庚,陈崇祺,张永江,管道腐蚀外检测技术的研究,管道技术与设备,2003,(1):40~42
[40] Siebert H. A Simple Method for Detecting and Locating Small Leaks in Gas Pipelines, Process Automation, 1981:90~95
[41] Yu Zhang,Shijiu Jin,Shili Chen,et al,Design of fast portable instrument for buried pipeline coating defects,Proceedings of the ASME International Pipeline Conference 2006,Calgary,Canada,v2:165~169
[42]唐秀家,颜大春,基于神经网络的管道泄漏检测仪器及方法,北京大学学报,1997,33(3):319~326
[43] Gomm J B, Adaptive neural network approach to on-line learning for process fault fiagnosis,Trans Inst MC, 1998, 20(3): 144~152
[44]杨杰,王桂增,输气管道泄漏诊断技术综述,化工自动化及仪表,2004,31(3):1~5
[45]方崇智,陶洛文等,基于现代估计理论的长输管道自动监测,油气储运,1988,7(6):7~12
[46] Jim. C. P. Liou,Leak detection by mass balance effective for Norman wells line,Oil & Gas Journal,1996(3):69~74
[47] Siebert H.A,Simple Method for Detecting and Locating Small Leaks in Gas Pipelines, Process Automation,Oldenbourg,Germany,1981,90~95
[48] Xue Jun Zhang,Statistical Leak Detection in Gas and Liquid Pipelines,Pipes & Pipelines International,1993,38(4):26~29
[49] X.J. Zhang,Statistical Methods for Detection and Localization of Leak in Pipelines,OMAE (Offshore Mechanics and Arctic Engineering Conference),Vol.V-B,ASME,1992: 485~492
[50]陈志刚,张来斌,王朝晖,基于分布式光纤传感器的输气管道泄漏检测方法,传感器与微系统,2007,26(7):108~110
[51] A.J.Rogers, Distributed optical-fiber sensor, J.Phys.D: Appl. Phys,1986,(19):2237~2255
[52]黄尚廉,梁大巍,分布式光纤温度传感器系统的研究,仪器仪表学报,1991,12(4):359~364
[53] Kurmer J P, Kingsley S A,Laud J S,Distributed fiber optic acoustic sensor for leak detection,SPIE 1991,1586:117~127
[54]陈志刚,张来斌,王朝晖,基于分布式光纤传感器的输气管道泄漏检测方法,传感器与微系统,2007,26(7):108~110
[55] CHET SANDBERG. The Application of a Continuous Leak Detection System to Pipeline and Associated Equipments. IEEE TRANSCATION ON INDUSTRY APPLICATION, Sep.-Oct. 1989, 25(5):906~909
[56]谭靖,陈伟民等,基于萨格奈克/双马赫-曾德干涉原理的长途管道破坏预警技术研究,光子学报,2008,37(1):67~72
[57]韩飞,油气管道安全监测技术探讨,数字通讯世界,2010,1:56~58
[58]周琰,靳世久等,管道泄漏检测分布式光纤传感技术研究,光电子2激光,2005,16(8):935~938
[59]周琰,靳世久等,干涉型分布式光纤管道泄漏实时监测方法及装置,中国专利,200410020046.6,2007-3-7
[60]曲志刚,分布式光纤油气长输管道泄漏检测及预警技术研究:[博士学位论文],天津大学,2008
[61]周琰,靳世久等,分布式光纤管道泄漏检测和定位技术,石油学报,2006,27(2):121~124
[62]周琰,分布式光纤管道安全监测技术研究:[博士学位论文],天津大学,2006
[63]陈炳炎,光纤光缆的设计和制造,杭州:浙江大学出版社,2003
[64]周洋溢等,单模纤维光学原理与应用,桂林:广西师范大学出版社,1988
[65] M.J.Marrone,M.A.Davis,A.D.Kersey,Statistical Modelling of Polarisation Induced Fading In Interferometri Fibre Sensors,Electronic Letters,1991,27(6):481~482
[66]丁攀峰,单模光纤中偏振效应的理论研究及分析:[博士学位论文],华中科技大学,2007
[67] Zhang Jinghua, General Expression of Jones Matrix in Birefringent Fibers and Reflective Transmission Characteristics, ACTA PHOTONICA SINICA, 1997,26(6):527~531
[68] Forestieri E,Vincetti L, Exact evaluation of the Jones matrix of a fiber in the presence of polarization mode dispersion of any order, J.Light Tech,2001,19(12):1898～1909
[69]梁栓挺,偏振器件的琼斯矩阵,光学仪器,1990,10(4):1~9
[70]廖延彪,偏振光学,北京:科学出版社,2003
[71]张靖华,椭圆双折射光纤的琼斯矩阵和法拉第效应分析,中国科学技术大学学报,1988,18(4):488~493
[72]孙刚,金世龙,双折射晶体琼斯矩阵分析,应用光学,2005,26(4):17~22
[73]张靖华,双折射光纤琼斯矩阵的一般表达式及反射传输特性,1997,26(6):527~531
[74] Zhigang Qu, Yan Zhou, Detection of the abnormal events along the oil and gas pipeline and multi-scale chaotic character analysis of the detected signals, MEASUREMENT SCIENCE AND TECHNOLOGY, 2008, 19(2), p 025301
[75]谭靖,陈伟民,单轴分布式光纤传感器管线泄漏探测方法及定位理论分析,光子学报,2006,35(2):228~231
[76]邓芳,基于琼斯矩阵法的偏振模色散统计特性的研究:[硕士学问论文],江南大学,2008
[77] J Cameron, Stears.Time evolution of polarization mode dispersion for aerial and buried cables, In Technical Digest of the Conference on Optical Fiber Communication.San Jose,1998,2:240-241
[78]谭静,陈伟民,琼斯矩阵在分布式光纤传感器偏振态分析中的应用,光电工程,2007,34(2):120~125
[79] D.B.MORTIMORE, Fiber loop reflectors, J.Lightwave Technol,1988,6:1217-1224.
[80]吴俊,谭靖等,基于Sagna/Mach一Zehnder原理的分布式光纤传感系统的偏振态分析,光学与光电技术,2006,4(5):59~62
[81]周琰,靳世久等,分布式光纤泄漏检测和定位技术,石油学报,2006,27(2):121~124
[82]周琰,靳世久等,分布式光纤管道安全检测定位技术研究,光电子激光,2008,19(7):922~924
[83]赵玉成,王琥等,Mach-Zehnder光纤干涉仪可视度分析,光通讯技术,1994,18(2):91~93
[84]欧阳甸等,基于马赫-曾德尔原理光纤传感器偏振态的研究,红外与激光工程,2008,37(4):94~97
[85]胡台光,吕植明,无源光网络与无源光器件光纤与电缆及其应用技术,1996,6:33-37
[86]潘英俊,古渊,黄尚廉,光纤偏振控制器的原理、结构及其特点,半导体光电,1994,15(3): 237~244
[87] T.Ono,S.Yamaxaki,H.Shimizu,K Emura, Feasibility study on common polarization control for coherent FDM transmission system,Electron.Lett., 1989,25(1):1651~1652
[88]龚岩栋,陈根祥,简水生,偏振控制器的研究和现状,光纤与电缆及其应用技术,1995,3(1):15-20
[89] Takashi Ono,Shuntaro Yamazaki,Haruhito Shinizu,Katsumi Emura,Polarization control method for suppressing polarization mode dispersion influence in optical transmission systems,Z Lightwave TechnoL,1994,12(5):891~898
[90]李伟文等,模拟退火算法在无端偏振控制器中的应用,光子学报,2005,34(6):820~824
[91] Heismann F, Analysis of a reset-free polarization controller for fast automatic polarization stabilization in fiber-optic transmission systems, Journal of Lightwave Technology, 1994,12(4):69O～699
[92] Aart W H J,Khoe G D, New endless polarization control method using three fiber squeezers, Journal of Lightwave Technology, 1989, 7(7):1033~ 1043
[93]李伟文,章献民,陈抗生,邹英寅,可变可转单波片偏振控制器研究,光子学报,2006,35(2)
[94]姚玉敏,徐千凡,黄开平,利用挤压光纤双折射效应的自适应偏振控制器,高技术通信,2001,01(2):45-47
[95]王铁,曹明翠,罗风光,全光学偏振控制器,半导体光电,2001,22(6):394~400
[96] TOkoshi,N.Fukya,aK.Kikuehi,New Polariaztion-state control device:rotatable fiber cranks,Electron.Lett.,1985,21(20):895~896
[97] ReihnoldNoe,Helmut Heidrch,Detlef Hoflhlnna,Endless Polarization control systems for coherent opties,J.Lighwave Technol.,1988,6(7):1199-1208
[98] GR.Walke, N.GWalke, Rugged all-fiber end less Polariaztion conrtolle, Electron.Lett., 1988, 24(22):.1353~1354
[99] H.Shimizu,etal.Endless polarization controller using electro-optic waveplates, Electron.Lett,1988,24 (7):412~413
[100]吴俊,长途油气管道破坏预警的干涉型分布式光纤传感系统定位技术研究:[博士学位论文],重庆大学,2007
[101] M.Martinelli, R.A.ChiPmna, Endless Polarization conortl algorithm using adjustable linear retarders with fixed axes, J.Lightwave Technol., 2003,21(9):2089~2096
[102]丁光涛,偏振光的四元素表示,黄淮学刊,1993,l9(l):43~45
[103]肖远,孙军强等,动态偏振控制器的复位分析与实现,光学与光电技术,2005,3(5):49~52
[104] B.-Olsson,D.J.Blumenthal, WDM to OTDM multiplexing using an ultrafast all-opticalwavelength converter, IEEE Phootn.Tehcnol.Lett., 2001, 13(9):1005~1007
[105]李伟文,章献民,陈抗生,邹英寅,基于模拟退火算法的偏振控制器波片相移特性研究,光学学报,2005,25(4):449~453
[106]胡山鹰,陈丙珍,何小荣,模拟退火法用于连续变量问题全局化优初控,计算机与应用化学,1996,13(1):7~13
[107] RA.Rutenbar, Simulated annealing algorithms: an overview, IEEE Circuits and Devcies Magazine, 1989, 5(l): 19~26
[108] M.Massimo, R.A.Chipman, Endless Polarization control algorithm using adjustable linear retarders with fixed axes, J.Lightwave Technol., 2003, 21(9):2089~2096
[109]刘洋,偏振控制器及其算法研究:[硕士学位论文],浙江大学信息学院,2008
[110] H.Louche, A.Hodzic, K.Peterrnann, A.Robinson, R.Epworth, 'Analytical model for the design of multispan DWDM transmission systems, IEEE Photon.Technol.Lett., 2005, 17(1):247~249
[111]刘琦,单模光纤中偏振控制问题的研究:[博士学位论文],北京交通大学理学院,2006
[112]唐晓琪,唐继,Mach-Zehnder光纤干涉仪相位载波调制及解调方案的研究,计量学报,2002,23(1):10~12
[113]李绪友,张立昆,张兴周,干涉型光纤传感器的PGC检测方法的分析与研究,哈尔滨工程大学学报,1999,20(2):58~64
[114]周效东,汤伟中,周文,PGC调制一解调光纤水声传感器的研究与实现,中国激光,1995,25(5):411~414
[115]倪明,胡永明等,数字化解调光纤水听器的动态范围,激光与光电子学进展,2005,42(2):33~37
[116] Dandridge A, Tveten A B, Giallorenzi T G, Homodyne demodulation scheme for fiber optic sensors using phase generated carrier, IEEE J.Quant.Electron., 1982, 18(10):1647~1653
[117] S. K. Sheem, T. G. Giallorenzi, K. Koo, Optical techniques to solve the signal fading problem in fiber interferometers, Appl. Opt., 1982, 21(2): 689~693
[118] K. P. Koo, A. B. Tveten, A. Dandridge, Passive stabilization scheme for fiber interferometers using (333) fiber directional couplers, Appl. Phys. Lett., 1982, 41(10): 616~618
[119] D. A. Brown, C. B. Cameron, R. M. Keolian, D. L. Gardner, S. L. Garrett, A symmetric 333 coupler based demodulator for fiber optic interferometric sensors, SPIE Fiber Optic and Laser Sensors IX, 1991, 1584: 328~335
[120] Zhiqiang Zhao, Improved Demodulation Scheme for Fiber Optic Interferometers Using an Asymmetric 333 Coupler, JOURNAL OF LIGHTWAVE TECHNOLOGY, 1997, 15(11): 2059~2068
[121]洪广伟,贾波,一种基于333耦合器构造干涉仪的被动解调新方法,仪器仪表学报,2006,27(4):341~344
[122]陈德胜,肖灵等,光纤干涉信号的333耦合器解调及偏振衰落分析,光电子2激光,2007,18(5):523~525
[123]张琳琳,曹家年,光纤Michelson干涉仪被动解调方案研究与改进,应用科技,2008,35(8):20~23
[124] M. A. Davis, A. D. Kersey, M. J. Marrone, A. Dandridge, Characterization of 333 fiber coupler for passive homodyne systems, Polarization and temperature sensitivity, Proc. Optic. Fiber Commun.Conf. (OFC’89), 1989,: 103
[125] S. K. Sheem, Optical fiber interferometers with [333] directional couplers: Analysis, J. Appl. Phys., 1981, 52(1): 3865~3872
[126] Knapp C H, Carter G C, The generalized correlation method for estimation of time delay, IEEE Trans.ASSP, 1976, 24(4):320~327
[127]刘雪奎,斯坦费尔德法在雷达无源定位中的应用,电子对抗,1988,4:1~7
[128]孙仲康,周一宇等,单多基地有源无源定位技术,北京:国防工业出版社,1996
[129]行鸿彦,唐娟,时延估计方法的分析,声学技术,2008,27(1):110~114
[130]周琰,靳世久等,分布式光纤管道泄漏检测及预警技术灵敏度分析,纳米技术与精密工程,2008,6(5):372~375
[131]周琰,靳世久等,管道泄漏检测分布式光纤传感技术研究,光电子?激光,935~938
[132]邱天爽,王宏禹等,几种基本时间延迟估计方法及其相互关系,大连理工大学学报,1996,36(7):493~498
[133] Carter G C., Coherence and time delay estimation, Proc of the IEEE, 1987,75(2): 236~255
[134] Nikias C L, Pan R., Time delay estimation in unknown Gaussian spatially correlated noise, IEEE Transon ASSP, 1988,36(11): 1706~1714
[135]张中华,张端金等,基于三阶累积量的多径时延估计,信息与电子工程,2009,7(2):94~98
[136] J.M.M.Anderson, G.B.Giannakis, Harmonic Retreval Using Higher-order Statistics: A Deterministic Formulation, IEEE Trans on Signal Processing, 1995, 43(8):1880~1889
[137]刘颖,王树勋,王本平,基于四阶累积量的自适应参数型多径时延估计,系统仿真学报,2002,14(6):22~25
[138] Zhao Zhen, Hou Ziqiang, The generalized phase spectrum method for time delay estimation, ICASSP' 84, 1984, 46(2):1~4
[139]王宏禹,现代谱估计,南京:东南大学出版社,1990
[140] H.M.Ibrahim, R.R.Gharieb, M.M.Hassan, A Higher Order Statics-based Adaptive Algorithm for Line Enhancement, IEEE Trans on Signal Processing, 1999, 47(2):526~532
[141]郭业才,赵俊渭等,基于三阶累积量对角切片的直接自适应谱线增强算法,噪声控制,2003,9:37~39
[142] WidrowB, GloverJ R, McCoolJ M, Adaptive noise cancelling: principles and applications, Proc of the IEEE, 1975, 63 (12): 1692~1716
[143] Widrow B, Stearn S.D, Adaptive Signal Processing, Englewood Cliffs: Prentice-Hall.Inc, 1985
[144] So H C,Ching P C, Comparative study of five LMS-based adaptive time delay estimation[J].IEE Proceedings-Radar, Sonar Navig.,2001,148(1):9~15
[145] Reed F A, Feintuch P L, Bershad N J , Time delay estimation using the LMS adaptive filter-static behavior, IEEE Trans .ASSP, 1981, 29(3):561~571
[146]王宏禹,邱天爽等,自适应噪声抵消与时间延迟估计,大连:大连理工大学出版社,1999
[147]夏靖波,张晓凡,王玉涛,王师,LMS自适应滤波器算法在粉体速度测量中的应用,信息与控制,2000,29(6):285~288
[148] Youn D H, On Using the LMS Algorithm for Time Delay Estimation, IEEE Trans.Acoust. ASSSP, 1982, 32,(3):798~801
[149]李明,杨成梧,基于模糊推理的变步长LMS自适应滤波算法,控制工程,2006,13(3):237~239
[150]孙建民,柳贡民,基于LMS自适应滤波的汽车主动悬架研究,振动与冲击,2004,23(4),139~143
[151] Carter G C, Time delay estimation:[博士学位论文]:University of Connecticut, 1976
[152] Gitlin R. D, Weinstein S. D, The effects of large interference on the tracking capability of digitally implemented echo cancellers, IEEE Trans on COM, 1978, 26(6) :833~839 .
[153]高鹰,谢胜利,一种变步长LMS自适应滤波算法及分析,电子学报,2001,8(8):1094~1097
[2]陈鹏超,长输管道安全预警系统若干关键技术研究:[博士学位论文],天津大学,2009
[3]郑敏,朱成果,我国油气资源及对国民经济发展的影响研究,中国矿业,2006,15(11):9~11
[4]蒲明,2009年我国油气管道新进展,国际石油经济,2010,3:14~20
[5]杨祖佩,推进管道技术发展的有关问题的研究,管道技术与设备,1994,6:1~4
[6]臧铁军,臧天红,我国管道运输的发展概况,管道技术与设备,1998,4:1~4
[7]梅云新,中国管道运输的发展与建设,交通运输系统工程与信息,2005,5(2):108~115
[8]马志祥,梅云新,我国油气长输管道的技术现状及差距分析,油气储运,2004,23(3):1~4
[9]马保松,曾聪,世界管道物流运输的发展现状及关键技术分析,世界科技研究与发展,2004,12:48~52
[10] D. Stein,B. Schoesser. Development of Capsule Pipeline and Tube Transportation Systems,Proc. Of the 3rd Int. Sym. on Under-ground Freight Transportation by Pipelines and other Tube/Tunnel Systems,Sept. 2002
[11]秦晓,中国能源安全战略中的能源运输问题,中国能源,2004,26(7):4~7
[12]杨承汉,我国成品油管道运输发展的几个问题,油气储运,1994,13(2):8~11
[13]倪晓阳等,俄罗斯石油开采和长输油气管道的事故分析及对中国的启示,地质科技情报,2005,24(7):59~62
[14]王玉梅,郭书平,国外天然气管道事故分析,油气储运,2000,19(7):5-12
[15]王继强,国内外油气管道事故比较分析,科技创新导报,2008,28:104~105
[16]毛建等,油气管道第三方破坏人为因素分析研究,石油工业技术监督,2010,1:12~15
[17]吕宏庆,李均峰,管道第三方破坏原因及预防措施,天然气工业,2005,25(12):4~5
[18]刘廷元,试论大西南成品油管道工程,天然气与石油,1995,13(2):5~7
[19] M.S.Yoon et al. Leak Detection Performance Specification. Pipeline Engineering. ASME 1991, 34:21~26
[20]郑朝霞,国内外管道运输情况综述,物流技术,2003(2):10~11
[21]钱建华,关于中国石化油气管道发展的思考,油气储运,2003,22(9):18~21
[22]潘家华,中国的能源问题和国家石油储备,油气储运,2004,23(5):1~5
[23]陈华波,涂亚庆,输油管道泄漏检测方法综述,管道技术与设备,2000,(1):38~41
[24] Hurt N H,Stand-alone Sensors Monitor for Combustible Gas Leaks,Pipe Line Industry, 1991,74(1):65~66
[25]李炜等,天然气管道泄漏点的定位检测方法研究,甘肃工业大学学报,2003,29(4):84~87
[26]苏欣,袁宗明,范小霞,油气长输管道检漏技术综述,石油化工安全技术,2005,21(4):14~17
[27]张布悦等,输油管线泄漏检测和定位技术综述,上海海运学院学报,2001,22,(3):13~21
[28]靳世久,王立宁,李健等,原油管道漏点定位技术,石油学报,1998,19(3):93~97
[29]王立坤,原油管道泄漏检测若干关键问题研究:[博士学位论文],天津大学,2002
[30]程载斌,王志华,马宏伟,管道应力波检测技术及研究进展,太原理工大学学报,2003,34(4):426~430
[31]张士锋,石油工业中长距离油气运输管道的泄漏检测方法以及清洗技术,科技天地,2010,1:80~83
[32] L.Billmann, R.Isermann, Leak Detection Methods for Pipelines, Automatica, 1987,23(3):381~385
[33]孙洁娣,温江涛等,基于地震动信号的管道安全监测系统的研究,测试技术学报,2008,22(03):211~214
[34]孙洁娣,温江涛等,基于D-S证据理论的管道安全监测数据融合技术的研究,传感技术学报,2007,20(2):404~407
[35]希拉德,陈积懋,余南廷,超声检测新技术,科学出版社,北京1991:100~103
[36] Jun Zhang,Michael Twomey,Statistical Pipeline Leak Detection Techniques for All Operating Conditions,26th Environment Symposium & Exhibition,California,March,2000:27~30
[37] A.J.Rogers, Distributed optical-fiber sensor, J.Phys.D: Appl. Phys,1986,(19):2237~2255
[38]王延年,油气管线泄漏监测分布式光纤传感器的研究,西安交通大学学报,2003(9):933~936
[39]常连庚,陈崇祺,张永江,管道腐蚀外检测技术的研究,管道技术与设备,2003,(1):40~42
[40] Siebert H. A Simple Method for Detecting and Locating Small Leaks in Gas Pipelines, Process Automation, 1981:90~95
[41] Yu Zhang,Shijiu Jin,Shili Chen,et al,Design of fast portable instrument for buried pipeline coating defects,Proceedings of the ASME International Pipeline Conference 2006,Calgary,Canada,v2:165~169
[42]唐秀家,颜大春,基于神经网络的管道泄漏检测仪器及方法,北京大学学报,1997,33(3):319~326
[43] Gomm J B, Adaptive neural network approach to on-line learning for process fault fiagnosis,Trans Inst MC, 1998, 20(3): 144~152
[44]杨杰,王桂增,输气管道泄漏诊断技术综述,化工自动化及仪表,2004,31(3):1~5
[45]方崇智,陶洛文等,基于现代估计理论的长输管道自动监测,油气储运,1988,7(6):7~12
[46] Jim. C. P. Liou,Leak detection by mass balance effective for Norman wells line,Oil & Gas Journal,1996(3):69~74
[47] Siebert H.A,Simple Method for Detecting and Locating Small Leaks in Gas Pipelines, Process Automation,Oldenbourg,Germany,1981,90~95
[48] Xue Jun Zhang,Statistical Leak Detection in Gas and Liquid Pipelines,Pipes & Pipelines International,1993,38(4):26~29
[49] X.J. Zhang,Statistical Methods for Detection and Localization of Leak in Pipelines,OMAE (Offshore Mechanics and Arctic Engineering Conference),Vol.V-B,ASME,1992: 485~492
[50]陈志刚,张来斌,王朝晖,基于分布式光纤传感器的输气管道泄漏检测方法,传感器与微系统,2007,26(7):108~110
[51] A.J.Rogers, Distributed optical-fiber sensor, J.Phys.D: Appl. Phys,1986,(19):2237~2255
[52]黄尚廉,梁大巍,分布式光纤温度传感器系统的研究,仪器仪表学报,1991,12(4):359~364
[53] Kurmer J P, Kingsley S A,Laud J S,Distributed fiber optic acoustic sensor for leak detection,SPIE 1991,1586:117~127
[54]陈志刚,张来斌,王朝晖,基于分布式光纤传感器的输气管道泄漏检测方法,传感器与微系统,2007,26(7):108~110
[55] CHET SANDBERG. The Application of a Continuous Leak Detection System to Pipeline and Associated Equipments. IEEE TRANSCATION ON INDUSTRY APPLICATION, Sep.-Oct. 1989, 25(5):906~909
[56]谭靖,陈伟民等,基于萨格奈克/双马赫-曾德干涉原理的长途管道破坏预警技术研究,光子学报,2008,37(1):67~72
[57]韩飞,油气管道安全监测技术探讨,数字通讯世界,2010,1:56~58
[58]周琰,靳世久等,管道泄漏检测分布式光纤传感技术研究,光电子2激光,2005,16(8):935~938
[59]周琰,靳世久等,干涉型分布式光纤管道泄漏实时监测方法及装置,中国专利,200410020046.6,2007-3-7
[60]曲志刚,分布式光纤油气长输管道泄漏检测及预警技术研究:[博士学位论文],天津大学,2008
[61]周琰,靳世久等,分布式光纤管道泄漏检测和定位技术,石油学报,2006,27(2):121~124
[62]周琰,分布式光纤管道安全监测技术研究:[博士学位论文],天津大学,2006
[63]陈炳炎,光纤光缆的设计和制造,杭州:浙江大学出版社,2003
[64]周洋溢等,单模纤维光学原理与应用,桂林:广西师范大学出版社,1988
[65] M.J.Marrone,M.A.Davis,A.D.Kersey,Statistical Modelling of Polarisation Induced Fading In Interferometri Fibre Sensors,Electronic Letters,1991,27(6):481~482
[66]丁攀峰,单模光纤中偏振效应的理论研究及分析:[博士学位论文],华中科技大学,2007
[67] Zhang Jinghua, General Expression of Jones Matrix in Birefringent Fibers and Reflective Transmission Characteristics, ACTA PHOTONICA SINICA, 1997,26(6):527~531
[68] Forestieri E,Vincetti L, Exact evaluation of the Jones matrix of a fiber in the presence of polarization mode dispersion of any order, J.Light Tech,2001,19(12):1898～1909
[69]梁栓挺,偏振器件的琼斯矩阵,光学仪器,1990,10(4):1~9
[70]廖延彪,偏振光学,北京:科学出版社,2003
[71]张靖华,椭圆双折射光纤的琼斯矩阵和法拉第效应分析,中国科学技术大学学报,1988,18(4):488~493
[72]孙刚,金世龙,双折射晶体琼斯矩阵分析,应用光学,2005,26(4):17~22
[73]张靖华,双折射光纤琼斯矩阵的一般表达式及反射传输特性,1997,26(6):527~531
[74] Zhigang Qu, Yan Zhou, Detection of the abnormal events along the oil and gas pipeline and multi-scale chaotic character analysis of the detected signals, MEASUREMENT SCIENCE AND TECHNOLOGY, 2008, 19(2), p 025301
[75]谭靖,陈伟民,单轴分布式光纤传感器管线泄漏探测方法及定位理论分析,光子学报,2006,35(2):228~231
[76]邓芳,基于琼斯矩阵法的偏振模色散统计特性的研究:[硕士学问论文],江南大学,2008
[77] J Cameron, Stears.Time evolution of polarization mode dispersion for aerial and buried cables, In Technical Digest of the Conference on Optical Fiber Communication.San Jose,1998,2:240-241
[78]谭静,陈伟民,琼斯矩阵在分布式光纤传感器偏振态分析中的应用,光电工程,2007,34(2):120~125
[79] D.B.MORTIMORE, Fiber loop reflectors, J.Lightwave Technol,1988,6:1217-1224.
[80]吴俊,谭靖等,基于Sagna/Mach一Zehnder原理的分布式光纤传感系统的偏振态分析,光学与光电技术,2006,4(5):59~62
[81]周琰,靳世久等,分布式光纤泄漏检测和定位技术,石油学报,2006,27(2):121~124
[82]周琰,靳世久等,分布式光纤管道安全检测定位技术研究,光电子激光,2008,19(7):922~924
[83]赵玉成,王琥等,Mach-Zehnder光纤干涉仪可视度分析,光通讯技术,1994,18(2):91~93
[84]欧阳甸等,基于马赫-曾德尔原理光纤传感器偏振态的研究,红外与激光工程,2008,37(4):94~97
[85]胡台光,吕植明,无源光网络与无源光器件光纤与电缆及其应用技术,1996,6:33-37
[86]潘英俊,古渊,黄尚廉,光纤偏振控制器的原理、结构及其特点,半导体光电,1994,15(3): 237~244
[87] T.Ono,S.Yamaxaki,H.Shimizu,K Emura, Feasibility study on common polarization control for coherent FDM transmission system,Electron.Lett., 1989,25(1):1651~1652
[88]龚岩栋,陈根祥,简水生,偏振控制器的研究和现状,光纤与电缆及其应用技术,1995,3(1):15-20
[89] Takashi Ono,Shuntaro Yamazaki,Haruhito Shinizu,Katsumi Emura,Polarization control method for suppressing polarization mode dispersion influence in optical transmission systems,Z Lightwave TechnoL,1994,12(5):891~898
[90]李伟文等,模拟退火算法在无端偏振控制器中的应用,光子学报,2005,34(6):820~824
[91] Heismann F, Analysis of a reset-free polarization controller for fast automatic polarization stabilization in fiber-optic transmission systems, Journal of Lightwave Technology, 1994,12(4):69O～699
[92] Aart W H J,Khoe G D, New endless polarization control method using three fiber squeezers, Journal of Lightwave Technology, 1989, 7(7):1033~ 1043
[93]李伟文,章献民,陈抗生,邹英寅,可变可转单波片偏振控制器研究,光子学报,2006,35(2)
[94]姚玉敏,徐千凡,黄开平,利用挤压光纤双折射效应的自适应偏振控制器,高技术通信,2001,01(2):45-47
[95]王铁,曹明翠,罗风光,全光学偏振控制器,半导体光电,2001,22(6):394~400
[96] TOkoshi,N.Fukya,aK.Kikuehi,New Polariaztion-state control device:rotatable fiber cranks,Electron.Lett.,1985,21(20):895~896
[97] ReihnoldNoe,Helmut Heidrch,Detlef Hoflhlnna,Endless Polarization control systems for coherent opties,J.Lighwave Technol.,1988,6(7):1199-1208
[98] GR.Walke, N.GWalke, Rugged all-fiber end less Polariaztion conrtolle, Electron.Lett., 1988, 24(22):.1353~1354
[99] H.Shimizu,etal.Endless polarization controller using electro-optic waveplates, Electron.Lett,1988,24 (7):412~413
[100]吴俊,长途油气管道破坏预警的干涉型分布式光纤传感系统定位技术研究:[博士学位论文],重庆大学,2007
[101] M.Martinelli, R.A.ChiPmna, Endless Polarization conortl algorithm using adjustable linear retarders with fixed axes, J.Lightwave Technol., 2003,21(9):2089~2096
[102]丁光涛,偏振光的四元素表示,黄淮学刊,1993,l9(l):43~45
[103]肖远,孙军强等,动态偏振控制器的复位分析与实现,光学与光电技术,2005,3(5):49~52
[104] B.-Olsson,D.J.Blumenthal, WDM to OTDM multiplexing using an ultrafast all-opticalwavelength converter, IEEE Phootn.Tehcnol.Lett., 2001, 13(9):1005~1007
[105]李伟文,章献民,陈抗生,邹英寅,基于模拟退火算法的偏振控制器波片相移特性研究,光学学报,2005,25(4):449~453
[106]胡山鹰,陈丙珍,何小荣,模拟退火法用于连续变量问题全局化优初控,计算机与应用化学,1996,13(1):7~13
[107] RA.Rutenbar, Simulated annealing algorithms: an overview, IEEE Circuits and Devcies Magazine, 1989, 5(l): 19~26
[108] M.Massimo, R.A.Chipman, Endless Polarization control algorithm using adjustable linear retarders with fixed axes, J.Lightwave Technol., 2003, 21(9):2089~2096
[109]刘洋,偏振控制器及其算法研究:[硕士学位论文],浙江大学信息学院,2008
[110] H.Louche, A.Hodzic, K.Peterrnann, A.Robinson, R.Epworth, 'Analytical model for the design of multispan DWDM transmission systems, IEEE Photon.Technol.Lett., 2005, 17(1):247~249
[111]刘琦,单模光纤中偏振控制问题的研究:[博士学位论文],北京交通大学理学院,2006
[112]唐晓琪,唐继,Mach-Zehnder光纤干涉仪相位载波调制及解调方案的研究,计量学报,2002,23(1):10~12
[113]李绪友,张立昆,张兴周,干涉型光纤传感器的PGC检测方法的分析与研究,哈尔滨工程大学学报,1999,20(2):58~64
[114]周效东,汤伟中,周文,PGC调制一解调光纤水声传感器的研究与实现,中国激光,1995,25(5):411~414
[115]倪明,胡永明等,数字化解调光纤水听器的动态范围,激光与光电子学进展,2005,42(2):33~37
[116] Dandridge A, Tveten A B, Giallorenzi T G, Homodyne demodulation scheme for fiber optic sensors using phase generated carrier, IEEE J.Quant.Electron., 1982, 18(10):1647~1653
[117] S. K. Sheem, T. G. Giallorenzi, K. Koo, Optical techniques to solve the signal fading problem in fiber interferometers, Appl. Opt., 1982, 21(2): 689~693
[118] K. P. Koo, A. B. Tveten, A. Dandridge, Passive stabilization scheme for fiber interferometers using (333) fiber directional couplers, Appl. Phys. Lett., 1982, 41(10): 616~618
[119] D. A. Brown, C. B. Cameron, R. M. Keolian, D. L. Gardner, S. L. Garrett, A symmetric 333 coupler based demodulator for fiber optic interferometric sensors, SPIE Fiber Optic and Laser Sensors IX, 1991, 1584: 328~335
[120] Zhiqiang Zhao, Improved Demodulation Scheme for Fiber Optic Interferometers Using an Asymmetric 333 Coupler, JOURNAL OF LIGHTWAVE TECHNOLOGY, 1997, 15(11): 2059~2068
[121]洪广伟,贾波,一种基于333耦合器构造干涉仪的被动解调新方法,仪器仪表学报,2006,27(4):341~344
[122]陈德胜,肖灵等,光纤干涉信号的333耦合器解调及偏振衰落分析,光电子2激光,2007,18(5):523~525
[123]张琳琳,曹家年,光纤Michelson干涉仪被动解调方案研究与改进,应用科技,2008,35(8):20~23
[124] M. A. Davis, A. D. Kersey, M. J. Marrone, A. Dandridge, Characterization of 333 fiber coupler for passive homodyne systems, Polarization and temperature sensitivity, Proc. Optic. Fiber Commun.Conf. (OFC’89), 1989,: 103
[125] S. K. Sheem, Optical fiber interferometers with [333] directional couplers: Analysis, J. Appl. Phys., 1981, 52(1): 3865~3872
[126] Knapp C H, Carter G C, The generalized correlation method for estimation of time delay, IEEE Trans.ASSP, 1976, 24(4):320~327
[127]刘雪奎,斯坦费尔德法在雷达无源定位中的应用,电子对抗,1988,4:1~7
[128]孙仲康,周一宇等,单多基地有源无源定位技术,北京:国防工业出版社,1996
[129]行鸿彦,唐娟,时延估计方法的分析,声学技术,2008,27(1):110~114
[130]周琰,靳世久等,分布式光纤管道泄漏检测及预警技术灵敏度分析,纳米技术与精密工程,2008,6(5):372~375
[131]周琰,靳世久等,管道泄漏检测分布式光纤传感技术研究,光电子?激光,935~938
[132]邱天爽,王宏禹等,几种基本时间延迟估计方法及其相互关系,大连理工大学学报,1996,36(7):493~498
[133] Carter G C., Coherence and time delay estimation, Proc of the IEEE, 1987,75(2): 236~255
[134] Nikias C L, Pan R., Time delay estimation in unknown Gaussian spatially correlated noise, IEEE Transon ASSP, 1988,36(11): 1706~1714
[135]张中华,张端金等,基于三阶累积量的多径时延估计,信息与电子工程,2009,7(2):94~98
[136] J.M.M.Anderson, G.B.Giannakis, Harmonic Retreval Using Higher-order Statistics: A Deterministic Formulation, IEEE Trans on Signal Processing, 1995, 43(8):1880~1889
[137]刘颖,王树勋,王本平,基于四阶累积量的自适应参数型多径时延估计,系统仿真学报,2002,14(6):22~25
[138] Zhao Zhen, Hou Ziqiang, The generalized phase spectrum method for time delay estimation, ICASSP' 84, 1984, 46(2):1~4
[139]王宏禹,现代谱估计,南京:东南大学出版社,1990
[140] H.M.Ibrahim, R.R.Gharieb, M.M.Hassan, A Higher Order Statics-based Adaptive Algorithm for Line Enhancement, IEEE Trans on Signal Processing, 1999, 47(2):526~532
[141]郭业才,赵俊渭等,基于三阶累积量对角切片的直接自适应谱线增强算法,噪声控制,2003,9:37~39
[142] WidrowB, GloverJ R, McCoolJ M, Adaptive noise cancelling: principles and applications, Proc of the IEEE, 1975, 63 (12): 1692~1716
[143] Widrow B, Stearn S.D, Adaptive Signal Processing, Englewood Cliffs: Prentice-Hall.Inc, 1985
[144] So H C,Ching P C, Comparative study of five LMS-based adaptive time delay estimation[J].IEE Proceedings-Radar, Sonar Navig.,2001,148(1):9~15
[145] Reed F A, Feintuch P L, Bershad N J , Time delay estimation using the LMS adaptive filter-static behavior, IEEE Trans .ASSP, 1981, 29(3):561~571
[146]王宏禹,邱天爽等,自适应噪声抵消与时间延迟估计,大连:大连理工大学出版社,1999
[147]夏靖波,张晓凡,王玉涛,王师,LMS自适应滤波器算法在粉体速度测量中的应用,信息与控制,2000,29(6):285~288
[148] Youn D H, On Using the LMS Algorithm for Time Delay Estimation, IEEE Trans.Acoust. ASSSP, 1982, 32,(3):798~801
[149]李明,杨成梧,基于模糊推理的变步长LMS自适应滤波算法,控制工程,2006,13(3):237~239
[150]孙建民,柳贡民,基于LMS自适应滤波的汽车主动悬架研究,振动与冲击,2004,23(4),139~143
[151] Carter G C, Time delay estimation:[博士学位论文]:University of Connecticut, 1976
[152] Gitlin R. D, Weinstein S. D, The effects of large interference on the tracking capability of digitally implemented echo cancellers, IEEE Trans on COM, 1978, 26(6) :833~839 .
[153]高鹰,谢胜利,一种变步长LMS自适应滤波算法及分析,电子学报,2001,8(8):1094~1097
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |