载机偏航下基于广义相邻多波束自适应处理的低空风切变风速估计
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摘要
该文提出一种载机偏航下基于广义相邻多波束(GMB)自适应处理的低空风切变风速估计的方法,该方法首先利用基于回波数据的杂波距离依赖性补偿方法对杂波进行距离依赖性矫正,估计出杂波协方差矩阵。然后同时组合空域的相邻多个波束与时域的相邻多个多普勒通道来计算降维变换矩阵,并对待测距离单元内的雷达回波数据进行降维处理,进而构造GMB自适应处理器的最优自适应权矢量对降维后的回波数据实现自适应滤波。最后完成载机偏航下风场速度的准确估计。仿真结果验证了该方法能够在载机偏航情况下,获得风场速度的有效估计。
This paper presents a method of low-altitude wind-shear speed estimation based on Generalized adjacent Multi-Beam(GMB) adaptive processing under aircraft yawing. The clutter range-dependence compensation method based on echo data is first used to correct the range dependence of clutter for estimating the clutter covariance matrix. Then the dimension-reduced transform matrix is calculated by combining adjacent multiple beams in the airspace and adjacent multiple Doppler channels in time domain simultaneously,and the radar echo data of the measured range bin is reduced in dimension, and then the optimal weight vector of the GMB adaptive processor is constructed to filter adaptively the dimension-reduced data. Finally, the accurate estimation of the wind speed under the aircraft yawing is got. The simulation results show that the proposed method can obtain an effective estimation of wind speed under aircraft yawing.
This paper presents a method of low-altitude wind-shear speed estimation based on Generalized adjacent Multi-Beam(GMB) adaptive processing under aircraft yawing. The clutter range-dependence compensation method based on echo data is first used to correct the range dependence of clutter for estimating the clutter covariance matrix. Then the dimension-reduced transform matrix is calculated by combining adjacent multiple beams in the airspace and adjacent multiple Doppler channels in time domain simultaneously,and the radar echo data of the measured range bin is reduced in dimension, and then the optimal weight vector of the GMB adaptive processor is constructed to filter adaptively the dimension-reduced data. Finally, the accurate estimation of the wind speed under the aircraft yawing is got. The simulation results show that the proposed method can obtain an effective estimation of wind speed under aircraft yawing.
引文
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[9]李海,周盟,陈筱浅,等.基于多通道联合自适应处理的微下击暴流中心风速估计方法[J].电子与信息学报,2017,39(7):1619-1625.doi:10.11999/JEIT161094.LI Hai,ZHOU Meng,CHEN Xiaoqian,et al.Multiple doppler channels joint adaptive processing based central wind speed estimation for microburst[J].Journal of Electronics&Information Technology,2017,39(7):1619-1625.doi:10.11999/JEIT161094.
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[12]姚晖.分布式信号源参数估计技术研究[D].[博士论文].解放军信息工程大学,2013:9-25.YAO Hui.Research on parameter estimation method for distributed sources[D].[Ph.D.dissertation],PLAInformation Engineering University,2013:9-25.
[13]王娟,王彤,吴建新.非正侧阵机载雷达杂波谱迭代自适应配准方法[J].系统工程与电子技术,2017,39(4):742-747.doi:10.3969/j.issn.1001-506X.2017.04.08.WANG Juan,WANG Tong,and WU Jianxin.Registrationbased compensation using iterative adaptive approach in non-side-looking airborne radar[J].Systems Engineering and Electronics,2017,39(4):742-747.doi:10.3969/j.issn.1001-506X.2017.04.08.
[14]文珺,廖桂生,李明.一种机载前视雷达杂波距离依赖性补偿方法[J].系统工程与电子技术,2010,32(6):1187-1190.doi:10.3969/j.issn.1001-506X.2010.06.017.WEN Jun,LIAO Guisheng,and LI Ming.Method to compensate clutter range dependence for airborne forward looking radar[J].Systems Engineering and Electronics,2010,32(6):1187-1190.doi:10.3969/j.issn.1001-506X.2010.06.017.
[2]WILSON J W and WAKIMOTO R M.The discovery of the downburst:T.T.Fujita’s contribution[J].Bulletin of the American Meteorological Society,2001,82(1):49-62.doi:10.1175/1520-0477(2001)082<0049:TDOTDT>2.3.CO;2.
[3]韩雁飞,刘夏,李海,等.基于微物理特性的三维低空风切变雷达回波仿真[J].系统工程与电子技术,2016,38(2):298-304.doi:10.3969/j.issn.1001-506X.2016.02.10.HAN Yanfei,LIU Xia,LI Hai,et al.Microphysics-based radar signal simulation for the three dimensional low altitude wind shear[J].Systems Engineering and Electronics,2016,38(2):298-304.doi:10.3969/j.issn.1001-506X.2016.02.10.
[4]韩伟,张道尚,李智.载机偏航对雷达目标检测性能的影响分析[J].雷达科学与技术,2015,13(2):167-172.doi:10.3969/j.issn.1672-2337.2015.02.012.HAN Wei,ZHANG Daoshang,and LI Zhi.Influence of aircraft crabbing on target detection performance of AEWradar[J].Radar Science and Technology,2015,13(2):167-172.doi:10.3969/j.issn.1672-2337.2015.02.012.
[5]白健,李勇,高霞,等.基于Prony模型的低空风切变快速检测算法[J].计算机测量与控制,2009,17(10):1889-1891.doi:10.16526/j.cnki.11-4762/tp.2009.10.001.BAI Jian,LI Yong,GAO Xia,et al.Low-level wind shear detection algorithm based on Prony model[J].Computer Measurement&Control,2009,17(10):1889-1891.doi:10.16526/j.cnki.11-4762/tp.2009.10.001.
[6]LI Hai,ZHOU Meng,GUO Qinghua,et al.Compressive sensing-based wind speed estimation for low-altitude windshear with airborne phased array radar[J].Multidimensional Systems and Signal Processing,2018,29(2):719-732.doi:10.1007/s11045-016-0448-6.
[7]吴仁彪,张彪,李海,等.基于空时自适应处理的低空风切变风速估计方法[J].电子与信息学报,2015,37(3):631-636.doi:10.11999/JEIT140697.WU Renbiao,ZHANG Biao,LI Hai,et al.Wind speed estimation for low-attitude windshear based on space-time adaptive processing[J].Journal of Electronics&Information Technology,2015,37(3):631-636.doi:10.11999/JEIT140697.
[8]LI Hai,ZHOU Meng,WU Renbiao,et al.Wind speed estimation of low-altitude wind-shear based on multiple Doppler channels joint adaptive processing[C].Proceedings of 2016 IEEE International Conference on Acoustics,Speech and Signal Processing,Shanghai,China,2016:3116-3120.doi:10.1109/ICASSP.2016.7472251.
[9]李海,周盟,陈筱浅,等.基于多通道联合自适应处理的微下击暴流中心风速估计方法[J].电子与信息学报,2017,39(7):1619-1625.doi:10.11999/JEIT161094.LI Hai,ZHOU Meng,CHEN Xiaoqian,et al.Multiple doppler channels joint adaptive processing based central wind speed estimation for microburst[J].Journal of Electronics&Information Technology,2017,39(7):1619-1625.doi:10.11999/JEIT161094.
[10]KLEMM R.Principle of Space-time Adaptive Processing[M].3rd ed.London,UK:IET Publishers,2006:1-133.
[11]BOYER E,LARZABAL P,ADNET C,et al.Parametric spectral moments estimation for wind profiling radar[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(8):1859-1868.doi:10.1109/TGRS.2003.813487.
[12]姚晖.分布式信号源参数估计技术研究[D].[博士论文].解放军信息工程大学,2013:9-25.YAO Hui.Research on parameter estimation method for distributed sources[D].[Ph.D.dissertation],PLAInformation Engineering University,2013:9-25.
[13]王娟,王彤,吴建新.非正侧阵机载雷达杂波谱迭代自适应配准方法[J].系统工程与电子技术,2017,39(4):742-747.doi:10.3969/j.issn.1001-506X.2017.04.08.WANG Juan,WANG Tong,and WU Jianxin.Registrationbased compensation using iterative adaptive approach in non-side-looking airborne radar[J].Systems Engineering and Electronics,2017,39(4):742-747.doi:10.3969/j.issn.1001-506X.2017.04.08.
[14]文珺,廖桂生,李明.一种机载前视雷达杂波距离依赖性补偿方法[J].系统工程与电子技术,2010,32(6):1187-1190.doi:10.3969/j.issn.1001-506X.2010.06.017.WEN Jun,LIAO Guisheng,and LI Ming.Method to compensate clutter range dependence for airborne forward looking radar[J].Systems Engineering and Electronics,2010,32(6):1187-1190.doi:10.3969/j.issn.1001-506X.2010.06.017.