S型非线性调频雷达信号优化方法
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摘要
实际雷达处理系统中,脉冲压缩通过数字方式实现,因此回波采样时存在一定的离散采样误差。传统方法设计的S型非线性调频(NLFM)信号进行脉冲压缩时受离散采样误差影响较大,这个影响可以通过提高系统采样频率来减小,然而提高采样频率会使运算量剧增。鉴于此,针对离散采样误差对传统S型NLFM信号进行优化,优化后的S型NLFM信号在实际雷达系统常用的采样频率下就能将离散采样误差给脉冲压缩结果带来的影响降到很小,提高了脉压主副比,仿真结果验证了该优化方法的有效性。
Pulse compression is realized digitally in actual radar processing system,so there is a certain discrete sampling error when receiving echo signal.The sampling error has a great effect on the pulse compression results of the traditional S-mode nonlinear frequency modulation(NLFM)signal.This effect can be reduced by increasing the sampling rate.However,the increase of the sampling rate means the surge of computation of the correlation operation.In view of this problem,according to the discrete sampling error,this paper presents an Smode NLFM signal optimization method.Even under the sampling rate of the actual radar system,the optimized S-mode NLFM signal can significantly reduce effect of the sampling error on the pulse compression results,improving the ratio of mainlobe to sidelobe.The simulation results show that this optimization method is effective.
Pulse compression is realized digitally in actual radar processing system,so there is a certain discrete sampling error when receiving echo signal.The sampling error has a great effect on the pulse compression results of the traditional S-mode nonlinear frequency modulation(NLFM)signal.This effect can be reduced by increasing the sampling rate.However,the increase of the sampling rate means the surge of computation of the correlation operation.In view of this problem,according to the discrete sampling error,this paper presents an Smode NLFM signal optimization method.Even under the sampling rate of the actual radar system,the optimized S-mode NLFM signal can significantly reduce effect of the sampling error on the pulse compression results,improving the ratio of mainlobe to sidelobe.The simulation results show that this optimization method is effective.
引文
[1]刘萍,邹林,周云,等.基于NLFM的超低副瓣脉冲压缩方法研究[J].雷达科学与技术,2014,12(5):527-531.LIU Ping,ZOU Lin,ZHOU Yun,et al.An Ultra-Low Sidelobe Pulse Compression Method Based on Nonlinear Frequency Modulation Signal[J].Radar Science and Technology,2014,12(5):527-531.(in Chinese)
[2]王侠,王进军,杨战社.基于三次样条插值的非线性调频雷达信号设计[J].山西大学学报(自然科学版),2017,40(4):797-803.
[3]李红霞.雷达信号数字脉冲压缩技术分析及MATLAB仿真[J].信息化研究,2018,44(1):69-73.
[4]刘萍.低旁瓣脉冲压缩技术研究[D].成都:电子科技大学,2015.
[5]ROHMAN B P A,INDRAWIJIYA R,KURNIAWAND,et al.Sidelobe Suppression on Pulse Compression Using Curve-Shaped Nonlinear Frequency Modulation[C]∥1st International Conference on Information Technology,Information Systems and Electrical Engineering,Yogyakarta,Indonesia:IEEE,2017:49-53.
[6]彭志刚,杨志国,彭世蕤.一种非线性调频信号数字脉压性能分析[J].空军雷达学院学报,2003,17(3):51-53.
[7]付启众,陈忠先.一种超低副瓣非线性调频脉压信号的性能分析[J].雷达科学与技术,2007,5(1):60-64.FU Qizhong,CHEN Zhongxian.Performance Analysis of an Ultra-Low Side Lobe Non-Linear Frequency Modulation Signal for Pulse Compression[J].Radar Science and Technology,2007,5(1):60-64.(in Chinese)
[8]YUE Wenzhen,ZHANG Yan.A Novel Nonlinear Frequency Modulation Waveform Design Aimed at Sidelobe Reduction[C]∥IEEE International Conference on Signal Processing,Communications and Computing,Guilin:IEEE,2014:613-618.
[2]王侠,王进军,杨战社.基于三次样条插值的非线性调频雷达信号设计[J].山西大学学报(自然科学版),2017,40(4):797-803.
[3]李红霞.雷达信号数字脉冲压缩技术分析及MATLAB仿真[J].信息化研究,2018,44(1):69-73.
[4]刘萍.低旁瓣脉冲压缩技术研究[D].成都:电子科技大学,2015.
[5]ROHMAN B P A,INDRAWIJIYA R,KURNIAWAND,et al.Sidelobe Suppression on Pulse Compression Using Curve-Shaped Nonlinear Frequency Modulation[C]∥1st International Conference on Information Technology,Information Systems and Electrical Engineering,Yogyakarta,Indonesia:IEEE,2017:49-53.
[6]彭志刚,杨志国,彭世蕤.一种非线性调频信号数字脉压性能分析[J].空军雷达学院学报,2003,17(3):51-53.
[7]付启众,陈忠先.一种超低副瓣非线性调频脉压信号的性能分析[J].雷达科学与技术,2007,5(1):60-64.FU Qizhong,CHEN Zhongxian.Performance Analysis of an Ultra-Low Side Lobe Non-Linear Frequency Modulation Signal for Pulse Compression[J].Radar Science and Technology,2007,5(1):60-64.(in Chinese)
[8]YUE Wenzhen,ZHANG Yan.A Novel Nonlinear Frequency Modulation Waveform Design Aimed at Sidelobe Reduction[C]∥IEEE International Conference on Signal Processing,Communications and Computing,Guilin:IEEE,2014:613-618.