无源器件无源互调干扰行为建模
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摘要
无源互调干扰会影响多载波通信卫星的正常工作,是目前卫星通信系统必须考虑的问题之一。由于无源互调干扰问题具有一定的复杂性,无法直接分析无源互调分量,因此需要建立相应的模型进行研究。针对无源互调干扰的频率分布特点,采用双指数函数模型和Volterrra级数模型拟合无源互调干扰,推导并建立了QPSK调制信号的无源互调干扰时序模型。基于MATLAB的仿真结果表明,无源互调干扰分量的理论值频点处都出现了相应峰值,且其幅度值与输入信号中心频率处的幅度值的比例符合理论分析。
Passive intermodulation often affects the normal operation of multi-carrier communication satellites. Because of the complexity of passive intermodulation interference, it is impossible to analyze the passive intermodulation component directly. Therefore, it is necessary to establish models. According to the frequency distribution characteristics of passive intermodulation interference, double exponential function model and Volterrra series model were adopted to fit passive intermodulation interference, and the time series model of passive intermodulation interference of QPSK signals was established. By performing MATLAB simulation, the results show that the peak values appear at the theoretical frequency points. The ratio of the amplitude value at the center frequency of the input signals to the amplitude value at the passive intermodulation frequency components accords with the theoretical analysis.
Passive intermodulation often affects the normal operation of multi-carrier communication satellites. Because of the complexity of passive intermodulation interference, it is impossible to analyze the passive intermodulation component directly. Therefore, it is necessary to establish models. According to the frequency distribution characteristics of passive intermodulation interference, double exponential function model and Volterrra series model were adopted to fit passive intermodulation interference, and the time series model of passive intermodulation interference of QPSK signals was established. By performing MATLAB simulation, the results show that the peak values appear at the theoretical frequency points. The ratio of the amplitude value at the center frequency of the input signals to the amplitude value at the passive intermodulation frequency components accords with the theoretical analysis.
引文
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[14] JIANG J H,ZHANG S Q,WU S Z,et al.Prediction of passive intermodulation power level based on double exponential function model and genetic algorithm[C].Cross Strait Quad-Regional Radio Science and Wireless Technology Conference.IEEE,2011:307-310.
[15] WALKER A L.Behavioral modeling and characterization of nonlinear operation inRF and microwave systems[J].British Medical Journal,2005,1(3):253.
[16] KIM J,KONSTANTINOU K.Digital predistortion of wideband signals based on power amplifier model with memory[J].Electronics Letters,2002,37(23):1417-1418.
[17] ERMOLOVA N Y,TIRKKONEN O.Theoretical characteri-zation of memory polynomial models with Gaussian inputs[J].IEEE Signal Processing Letters,2009,16(8):651-654.
[18] HAMMI O.Orthogonal polynomial basedHammerstein behavioral model for power amplifiers with strong memory effects[C]//Microwave Conference Proceedings.IEEE,2011:441-444.
[2] 张序琦.基于数字信号处理的无源互调干扰对消[D].北京:北京理工大学,2016.ZHANG X Q.Passive intermodulation interference cancellation based on digital signal processing[D].Beijing:Beijing Institute of Technology,2016 (in Chinese).
[3] 方天琪,胡天存,田露,等.LDPC码对无源互调干扰下通信性能改善研究[J].中国空间科学技术,2017,37(2):108-113.FANG T Q,HU T C,TIAN L,et al.Study on communication performance improvement using LDPC code under passive intermodulation interference[J].Chinese Space Science and Technology,2017,37(2):108-113(in Chinese).
[4] 李韵,崔万照,张洪太,等.星载大功率复杂微波部件微放电效应数值模拟[J].中国空间科学技术,2017,37(2):73-80.LI Y,CUI W Z,ZHANG H T,et al.A novel simulation method of multipactor in complex components for satellite application[J].Chinese Space Science and Technology,2017,37(2):73-80(in Chinese).
[5] SEA R G.An algebraic formula for amplitudes of intermodul-ation products involving an arbitary number of frequencies[J].Proceedings of the IEEE,1968:1388-1389.
[6] ENG K Y,Yue O.High-order intermodulation effects in digital satellite channels[J].IEEE Transactions on Aerospace and Electronic Systems,1981,AES-17(3):438-445.
[7] HEITER G L.Characterization of nonlinearities in microwave devices and systems[J].IEEE Transactions on Microwave Theory & Techniques,2003,21(12):797-805.
[8] PEDRO J C,CARVALHO N B.Intermodulation distortion in microwave and wireless circuits[J].Liver International Official Journal of the International Association for the Study of the Liver,2003,35(2):660-672.
[9] 张世全,葛德彪.通信系统无源非线性引起的互调干扰[J].陕西师范大学学报,2004(1):58-62.ZHANG S Q,GE D B.Intermodulation interference caused by passive nonlinearity in communication systems[J].Journal of Shaanxi Normal University,2004(1):58-62(in Chinese).
[10] AIMUDHAFAR A,HARTNAGEL H.Bit error probability in the presence of passive intermodulation[J].IEEE Communications Letters,2012,16(8):1145-1148.
[11] 叶鸣,贺永宁,孙勤奋,等.大功率条件下的无源互调干扰问题综述[J].空间电子技术,2013,10(1):75-83.YE M,HE Y N,SUN Q F,et al.Overview of passive intermodulation interference problems under high power conditions[J].Space Electronics,2013,10(1):75-83(in Chinese).
[12] KOZLOV D S,SHITVOV A P,SCHUCHINSKY A G,et al.Passive intermodulation of analog and digital signals on transmission lines with distributed nonlinearities:modelling and characterization[J].IEEE Transactions on Microwave Theory & Techniques,2016,64(5):1383-1395.
[13] ABUELMA M T.Prediction of passive intermodulation arising from corrosion[J].IEEE Proceedings - Science,Measurement and Technology,2003,150(1):30-34.
[14] JIANG J H,ZHANG S Q,WU S Z,et al.Prediction of passive intermodulation power level based on double exponential function model and genetic algorithm[C].Cross Strait Quad-Regional Radio Science and Wireless Technology Conference.IEEE,2011:307-310.
[15] WALKER A L.Behavioral modeling and characterization of nonlinear operation inRF and microwave systems[J].British Medical Journal,2005,1(3):253.
[16] KIM J,KONSTANTINOU K.Digital predistortion of wideband signals based on power amplifier model with memory[J].Electronics Letters,2002,37(23):1417-1418.
[17] ERMOLOVA N Y,TIRKKONEN O.Theoretical characteri-zation of memory polynomial models with Gaussian inputs[J].IEEE Signal Processing Letters,2009,16(8):651-654.
[18] HAMMI O.Orthogonal polynomial basedHammerstein behavioral model for power amplifiers with strong memory effects[C]//Microwave Conference Proceedings.IEEE,2011:441-444.
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