一种低旁瓣雷达信号探测波形设计方法
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摘要
线性调频信号在雷达探测中广泛应用,但存在距离旁瓣较大影响邻近目标区分的问题。本文针对该问题研究了dbN系列小波函数,构造了db4正交小波包,提出了级联小波包优化雷达信号探测波形旁瓣的设计方法,分析基于小波包的雷达信号的模糊函数,并比较了线性调频信号与基于级联小波包的雷达信号探测波形的自相关特性。理论分析和仿真结果均表明,基于级联小波包的改进雷达信号探测波形可以有效地压缩距离旁瓣。
Linear frequency modulated( LFM) signal is widely used in radar detection today,however,a bigger sidelobe of which poses a disadvantageous influence on the discrimination of adjacent targets. This paper,aiming at this problem,based on study of db N series wavelet function,constructs db4 orthogonal wavelet packets,and proposes a design method regarding optimization of radar waveform sidelobe with cascaded wavelet packets is proposed in this paper. Meanwhile,the ambiguity function of the radar waveform based on wavelet packets is analyzed,and the autocorrelation characteristics of LFM signal and cascaded wavelet packet based radar waveform is compared.. Theoretical analysis and simulation results both verify the improved signal waveform based on the cascaded wavelet packets can effectively suppress the sidelobe in radar detection.
Linear frequency modulated( LFM) signal is widely used in radar detection today,however,a bigger sidelobe of which poses a disadvantageous influence on the discrimination of adjacent targets. This paper,aiming at this problem,based on study of db N series wavelet function,constructs db4 orthogonal wavelet packets,and proposes a design method regarding optimization of radar waveform sidelobe with cascaded wavelet packets is proposed in this paper. Meanwhile,the ambiguity function of the radar waveform based on wavelet packets is analyzed,and the autocorrelation characteristics of LFM signal and cascaded wavelet packet based radar waveform is compared.. Theoretical analysis and simulation results both verify the improved signal waveform based on the cascaded wavelet packets can effectively suppress the sidelobe in radar detection.
引文
[1]张明友,汪学刚.雷达系统(第四版)[M].北京:电子工业出版社.2013.
[2]王盛利.高阶非线性频率调制雷达信号的脉冲压缩方法研究[J].中国电子科学研究院学报,2009,4(3):291-295.
[3]MOHSENI R,SHEIKHI A,SHIRAZI M.UWB radars based on wavelet packet OFDM signals[J].In Proceedings of the IEEE International Conference on Ultra-Wideband,2008(2):89-92.
[4]张卫,唐希源,顾红等.OFDM雷达信号模糊函数分析[J].南京理工大学学报,2011,35(4):513-517.
[5]施祥同.OFDM雷达信号波形设计方法与仿真实现[D].国防科学技术大学硕士学位论文,2010.
[6]LESTER G.A radar waveform processing utilization of wavelets[J].In Proceedings of the IEEE SP International Symposium on Time-Frequency and Time-Scale Analysis,1994:480-483.
[7]胡昌华,李国华,周涛.基于MATLAB 7.x的系统分析与设计—小波分析(第三版)[M].西安:西安电子科技大学出版社,2008.
[8]蒋太杰,高丽娟.小波分析在信号处理中的应用[C].中国电子学会第十六届信息论学术年会,2009.
[9]CAO S Y,ZHENG Y F,EWING R L.Wavelet-Based Waveform for Effective Sidelobe Suppression in Radar Signal[J].IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS,2014,50(1):265-284.
[2]王盛利.高阶非线性频率调制雷达信号的脉冲压缩方法研究[J].中国电子科学研究院学报,2009,4(3):291-295.
[3]MOHSENI R,SHEIKHI A,SHIRAZI M.UWB radars based on wavelet packet OFDM signals[J].In Proceedings of the IEEE International Conference on Ultra-Wideband,2008(2):89-92.
[4]张卫,唐希源,顾红等.OFDM雷达信号模糊函数分析[J].南京理工大学学报,2011,35(4):513-517.
[5]施祥同.OFDM雷达信号波形设计方法与仿真实现[D].国防科学技术大学硕士学位论文,2010.
[6]LESTER G.A radar waveform processing utilization of wavelets[J].In Proceedings of the IEEE SP International Symposium on Time-Frequency and Time-Scale Analysis,1994:480-483.
[7]胡昌华,李国华,周涛.基于MATLAB 7.x的系统分析与设计—小波分析(第三版)[M].西安:西安电子科技大学出版社,2008.
[8]蒋太杰,高丽娟.小波分析在信号处理中的应用[C].中国电子学会第十六届信息论学术年会,2009.
[9]CAO S Y,ZHENG Y F,EWING R L.Wavelet-Based Waveform for Effective Sidelobe Suppression in Radar Signal[J].IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS,2014,50(1):265-284.