小波变换处理雷达回波宽带模型及其适用性
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摘要
为消除窄带模型分析运动物体回波信号,必须满足该运动物体的速度远远小于发射信号速度的限制条件,利用多普勒原理,建立运动物体回波宽带模型.研究结果表明:通过对运动物体回波信号宽带模型作自小波变换可以快速获得运动物体的运动速度和发射波发射时运动物体距波源的距离. Matlab软件仿真显示此种方法消除了限制条件,并且在常见雷达信号波中应用是可行的.
To remove the restrictive condition of v(the speed of moving objects) being far less than c(the spread speed of emission signals), the analysis on the echo signals of the moving objects by the narrowband model must satisfy the restrictive condition. Using Doppler Principle, this paper presents the broadband model of the echo signals of moving objects. The results of research indicate that it can quickly get the speed of moving objects and the distance between the motional object and the wave source when the emission wave transmits by self wavelet transform of the wideband model of the echo signals of motional objects. The simulations by using Matlab software show that this method removes the restrictive condition, and it's feasible on common radar signals.
To remove the restrictive condition of v(the speed of moving objects) being far less than c(the spread speed of emission signals), the analysis on the echo signals of the moving objects by the narrowband model must satisfy the restrictive condition. Using Doppler Principle, this paper presents the broadband model of the echo signals of moving objects. The results of research indicate that it can quickly get the speed of moving objects and the distance between the motional object and the wave source when the emission wave transmits by self wavelet transform of the wideband model of the echo signals of motional objects. The simulations by using Matlab software show that this method removes the restrictive condition, and it's feasible on common radar signals.
引文
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[2]孔玲军.MATLAB小波分析超级学习手册[M].北京:人民邮电出版社,2014.
[3]孙超,王世练,朱江.基于自相关算法的TOA估计方法研究[J].微处理机,2014,35(4):39-43.SUN Chao,WANG Shilian,ZHU Jiang.Research of TOA estimation based on auto-correlation algorithm[J].Microprocessors,2014,35(4):39-43.
[4]LUNDEN JARMO,KOIVUNEN VISA.Automatic radar waveform recognition[J].IEEE Journal on Selected Topics in Signal Processing,2007,1(1):124-136.
[5]JIU BO,LIU HONGWEI,WANG XU.Knowledge-based spatial-temporal hierarchical MIMO radar waveform design method for target detection in heterogeneous clutter zone[J].IEEE Transactions on Signal Processing,2014,63(3):543-554.
[6]朱晓华.雷达信号分析与处理[M].北京:国防工业出版社,2011.
[7]WAINWRIGHT,CHARLOTTE E,STEPANIAN,et al.A time series sodar simulator based on large-eddy simulation[J].Journal of Atmospheric and Oceanic Technology,2014,3(4):876-889.
[8]金天祥,潘继飞,唐绩,等.基于小波包的雷达波形设计与性能分析[J].现代雷达,2018,40(1):20-24.JIN Tianxiang,PAN Jifei,TANG Ji,et al.Design and performance analysis of radar waveform based on wavelet packets[J].Modern Radar,2018,40(1):20-24.
[9]YUAN T Z,YANG Z C,QIN Y L.A two-step optimal waveform design for detection in signal-dependent interference[J].Proceedings of the IEEE Workshop on Statistical Signal Processing,2014,52(5):238-245.
[10]祝宏,张海,唐高弟,等.非高斯色噪声下的雷达波形优化方法[J].西安电子科技大学学报,2017,44(2):101-106.ZHU Hong,ZHANG Hai,TANG Gaodi,et al.Optimal radar waveform design method in colored and non-Gaussian noise[J].Journal of Xidian University,2017,44(2):101-106.
[11]胡昌华.基于MATLAB 7.x的系统分析与设计[M].西安:西安电子科技大学出版社,2008.
[12]黎聪,李炜.基于Morlet小波变换的自适应小波脊线提取算法[J].计算机工程,2016(4):60-64.LI Cong,LI Wei.Self-adaptive wavelet-ridge extraction algorithm based on Morlet wavelet transform[J].Computer Engineering,2016(4):60-64.
[13]易丽,何怡刚,方葛丰,等.基于Morlet小波在雷达信号脉内特征提取中的应用[J].计算机应用研究,2013,30(1):172-175.YI Li,HE Yigang,FANG Gefeng,et al.Application of modified Morlet wavelet in feature extraction of radar signal to intra-pulse[J].Application Research of Computers,2013,30(1):172-175.
[14]BARSHAN,BILLUR ERAVCI,BAHAEDDIN.Automatic radar antenna scan type recognition in electronic warfare[J].IEEE Transactions on Aerospace and Electronic Systems,2012,48(4):2 908-2 931.
[15]王渝冲,宿绍莹,陈曾平.基于小波变换的雷达信号调制类型识别方法[J].计算机工程,2012,38(23):166-168.WANG Yuchong,SU Shaoying,CHEN Zengping.Method of radar signal modulation type recognition based on wavelet transform[J].Computer Engineering,2012,38(23):166-168.