对流层散射通信信号的谱分析
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摘要
本文中简要阐述了对流层散射通信的原理，并给出对流层散射通信接收信号的衰落形式和抗衰落采取的调制信号方式和分集接收形式。提出了对流层散射通信通信信号谱分析的几种算法，包括：FFT算法、时—频分布算法1、时—频分布算法2、循环谱相关算法。给出了散射通信常用的两种调制信号(带内多频BPSK和QPSK)的循环谱相关函数和循环谱密度函数。
通过使用MATLAB软件对上述四种算法对BPSK、QPSK、散射BPSK和散射QPSK信号在无噪声和信噪比为OdB时的计算结果。
最后得出循环谱相关分析方法是进行对流层散射通信信号的最佳谱分析方法之一的结论。
The simple theory of tropscatter communication is introduced in this thesis, with form of fadeing, diversity receiving and modulating。It is gived some methods analysing signal's sepctrum which is the FFT method, the time-frequency method 1, the time-frequency method 2 and the spectral correlation method。In this paper, the cyclic-spectral correlation funcation and cyclic-spectral correlation density of two generally modualted signals in tropscatter communiacations was gived。
This thesis describes the implementation in MATLAB of four methods of computing the spectral density function estimate, the FFT method, the time-frequency method 1, the time-frequency method 2 and the spectral correlation method, to perform spectral analysis in two case which is noise free and SNR equals 0。
The result is that cyclic-spectral anlysis method is one of the best arithmetic in tropscatter modulated signal analysing。
通过使用MATLAB软件对上述四种算法对BPSK、QPSK、散射BPSK和散射QPSK信号在无噪声和信噪比为OdB时的计算结果。
最后得出循环谱相关分析方法是进行对流层散射通信信号的最佳谱分析方法之一的结论。
The simple theory of tropscatter communication is introduced in this thesis, with form of fadeing, diversity receiving and modulating。It is gived some methods analysing signal's sepctrum which is the FFT method, the time-frequency method 1, the time-frequency method 2 and the spectral correlation method。In this paper, the cyclic-spectral correlation funcation and cyclic-spectral correlation density of two generally modualted signals in tropscatter communiacations was gived。
This thesis describes the implementation in MATLAB of four methods of computing the spectral density function estimate, the FFT method, the time-frequency method 1, the time-frequency method 2 and the spectral correlation method, to perform spectral analysis in two case which is noise free and SNR equals 0。
The result is that cyclic-spectral anlysis method is one of the best arithmetic in tropscatter modulated signal analysing。
引文
[1] William A .Gardner, Introduction to random processes with applications to signals and systems, McGraw-Hill Publishing Company, 1990.01
[2] Dorde C.simic,Jiasmina.simic, The Strip spectral corelation Algorithm for spectral correlation Estimation of Digitally Modulated signals. TELSIKS'99,1(10): 13-15
[3] Pardo, J.M.; Burgos, M.; Jimenez, J.L, Practical cyclic-correlation interceiver with rotating antenna, ELECTRONICS LETTERS,May .2003 ,vol.39(11):868-870,
[4] Zibing Zhang; Liping Li; Xianci Xiao, Carrier frequency and chip rate estimation based on cyclic spectral density of MPSK signals, IEEE, ICCCAS 2004, June. 2004 ,Vol.2:859-862
[5] Antoni, J.; Daniere, J.; Guillet, R; El Badaoui, M, Blind separation and identification of cyclostationary processes, ICASSP '02, May. 2002, vol.3:3077-3080
[6] Ding Yafei; Chen Jiasong, Detection of DS signal with source code, Neural Networks and Signal Processing, 2003,Vol.1:690_691
[7] Napolitano, A.; Spooner, C.M, Cyclic spectral analysis of continuous-phase modulated signals, Signal Processing, IEEE Transactions, Jan. 2001,, Vol. 49, No. 1:30-4
[8] Gardner W A, Measurement of spectral correlation.,IEEE Trans ASSP, 1986 ,Vol.34(5): 1111-1123
[9] Gardner W A, Brown W A, Chen C K, Spectral correlation of modulated signals , Part H:Digital modulation. IEEE Trans Communication, June. 1987 ,Vol.35(6) :595-601
[10] Nandi A K, Azzouz E E, Algorithms for automatic modulation recognition of communication signals,IEEE Trans Communication, 1998,Vol.46(4) :431-436
[11] L. V. Dominguez , J . M. Borrallo , J . P. Garciaand B. R. Mezcua, A general approach to theautomatic classification of radiocommunition signals. Signal Processing, 1991 ,22 (3): 239-250
[12] A. K. Nandi and E. E. Azzouz, Algorithms forautomatic modulation recognition of communication signals. IEEE Trans Commun., 1998 ,46 (4): 431 - 436 [13] W. A. Gardner , The spectral correlation theory of cycloststionary time - series. Signal Processing, 1986 , 11 (1): 13 - 36
[14] Vucic Jesimir and Obradovie Milorade,Spectral correlation of PSK signals,Nis Yugoslvia, October, 1999,Vol. 13～15,pp.273-276
[15] R S Roberts,W A Brown and H H Loomis,computationally Efficient Algorithms for Cyclic Spectral Analysis,IEEE SP, Magzine,April. 1991, pp.38-49
[16] Gardner W A,Signal Interception:Performance Advantages of Cyclic Feature Detectors,IEEE Trans on Communication,January. 1992,Vol.40,No. 1, pp.149-159
[17] Gardner W A, Statistical Spectral Analysis: A Non-probabilistie Theory, Englewood Cliffs.H J: Prentice-Hall,1987
[18] Simon,Marvink,Digital Communication Techniques:signal design and detection, PTR Prentice-Hall, 1995. 01
[19] Ralph. D Hippenstiel, Detection Theory: Application and Digital Signal processing, Londan: CRC Press 2002
[20] 刘圣民 熊兆飞编，对流层散射通信技术，北京：国防工业出版社，1982
[21] John G．Proakis，张立军等译-数字通信(第三版)，北京：电子工业出版社，2001．4
[22] 张贤达、保铮，通信信号处理，北京：国防工业出版社，2000．12
[23] 吕杰等，移动通信信号自动调制识别的谱相关方法，电讯技术，Vol．39，No．2：9—14，Apr．1999
[24] 史建锋，朱良学—有限数据下循环谱的频域平滑对称式周期图法估计性能分析，数据采集与处理，Vol．19，No．2，2004年6月
[25] 吕杰等，数字通信信号自动调制识别的谱相关方法，，南京理工大学学报，Vol．23 No．4：297-299，Aug．1999
[26] 韩国栋，邬江兴—调制参数提取的谱相关算法[J]，航天电子对抗，Vol．31，No．3：37～41，2001
[27] 黄春琳等，基于循环谱包洛的扩谱直序信号的码片、时宽、载频、幅度估计，电子学报，Sep．2002，Vol．30，No．9：14-16
[28] 樊昌信等，通信原理，北京：国防工业出版社，2000．10
[29] 胡来招，雷达侦察接收机设计，北京：国防工业出版社，2000．1
[30] 付大毛等，电子战接收系统设计，北京：总参四部，1985
[31] 侦察、测向技术资料汇编，石家庄：信息产业部电子第五十四研究所信息中心，2002．8
[32] (美)Richard A．Poisel著；吴汉平等译，通信电子战系统导论，北京：电 子工业出版社，2003
[33] (苏)阿特拉热夫等编；本书翻译组 译，对无线电电子设备的侦察与干扰，北京：国防工业出版社，1978．07
[2] Dorde C.simic,Jiasmina.simic, The Strip spectral corelation Algorithm for spectral correlation Estimation of Digitally Modulated signals. TELSIKS'99,1(10): 13-15
[3] Pardo, J.M.; Burgos, M.; Jimenez, J.L, Practical cyclic-correlation interceiver with rotating antenna, ELECTRONICS LETTERS,May .2003 ,vol.39(11):868-870,
[4] Zibing Zhang; Liping Li; Xianci Xiao, Carrier frequency and chip rate estimation based on cyclic spectral density of MPSK signals, IEEE, ICCCAS 2004, June. 2004 ,Vol.2:859-862
[5] Antoni, J.; Daniere, J.; Guillet, R; El Badaoui, M, Blind separation and identification of cyclostationary processes, ICASSP '02, May. 2002, vol.3:3077-3080
[6] Ding Yafei; Chen Jiasong, Detection of DS signal with source code, Neural Networks and Signal Processing, 2003,Vol.1:690_691
[7] Napolitano, A.; Spooner, C.M, Cyclic spectral analysis of continuous-phase modulated signals, Signal Processing, IEEE Transactions, Jan. 2001,, Vol. 49, No. 1:30-4
[8] Gardner W A, Measurement of spectral correlation.,IEEE Trans ASSP, 1986 ,Vol.34(5): 1111-1123
[9] Gardner W A, Brown W A, Chen C K, Spectral correlation of modulated signals , Part H:Digital modulation. IEEE Trans Communication, June. 1987 ,Vol.35(6) :595-601
[10] Nandi A K, Azzouz E E, Algorithms for automatic modulation recognition of communication signals,IEEE Trans Communication, 1998,Vol.46(4) :431-436
[11] L. V. Dominguez , J . M. Borrallo , J . P. Garciaand B. R. Mezcua, A general approach to theautomatic classification of radiocommunition signals. Signal Processing, 1991 ,22 (3): 239-250
[12] A. K. Nandi and E. E. Azzouz, Algorithms forautomatic modulation recognition of communication signals. IEEE Trans Commun., 1998 ,46 (4): 431 - 436 [13] W. A. Gardner , The spectral correlation theory of cycloststionary time - series. Signal Processing, 1986 , 11 (1): 13 - 36
[14] Vucic Jesimir and Obradovie Milorade,Spectral correlation of PSK signals,Nis Yugoslvia, October, 1999,Vol. 13～15,pp.273-276
[15] R S Roberts,W A Brown and H H Loomis,computationally Efficient Algorithms for Cyclic Spectral Analysis,IEEE SP, Magzine,April. 1991, pp.38-49
[16] Gardner W A,Signal Interception:Performance Advantages of Cyclic Feature Detectors,IEEE Trans on Communication,January. 1992,Vol.40,No. 1, pp.149-159
[17] Gardner W A, Statistical Spectral Analysis: A Non-probabilistie Theory, Englewood Cliffs.H J: Prentice-Hall,1987
[18] Simon,Marvink,Digital Communication Techniques:signal design and detection, PTR Prentice-Hall, 1995. 01
[19] Ralph. D Hippenstiel, Detection Theory: Application and Digital Signal processing, Londan: CRC Press 2002
[20] 刘圣民 熊兆飞编，对流层散射通信技术，北京：国防工业出版社，1982
[21] John G．Proakis，张立军等译-数字通信(第三版)，北京：电子工业出版社，2001．4
[22] 张贤达、保铮，通信信号处理，北京：国防工业出版社，2000．12
[23] 吕杰等，移动通信信号自动调制识别的谱相关方法，电讯技术，Vol．39，No．2：9—14，Apr．1999
[24] 史建锋，朱良学—有限数据下循环谱的频域平滑对称式周期图法估计性能分析，数据采集与处理，Vol．19，No．2，2004年6月
[25] 吕杰等，数字通信信号自动调制识别的谱相关方法，，南京理工大学学报，Vol．23 No．4：297-299，Aug．1999
[26] 韩国栋，邬江兴—调制参数提取的谱相关算法[J]，航天电子对抗，Vol．31，No．3：37～41，2001
[27] 黄春琳等，基于循环谱包洛的扩谱直序信号的码片、时宽、载频、幅度估计，电子学报，Sep．2002，Vol．30，No．9：14-16
[28] 樊昌信等，通信原理，北京：国防工业出版社，2000．10
[29] 胡来招，雷达侦察接收机设计，北京：国防工业出版社，2000．1
[30] 付大毛等，电子战接收系统设计，北京：总参四部，1985
[31] 侦察、测向技术资料汇编，石家庄：信息产业部电子第五十四研究所信息中心，2002．8
[32] (美)Richard A．Poisel著；吴汉平等译，通信电子战系统导论，北京：电 子工业出版社，2003
[33] (苏)阿特拉热夫等编；本书翻译组 译，对无线电电子设备的侦察与干扰，北京：国防工业出版社，1978．07