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 S-mode 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.
作者
剡熠琛
赵永波
SHAN Yichen;ZHAO Yongbo(National Key Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China)
出处
《雷达科学与技术》
北大核心
2019年第2期143-147,156,共6页
Radar Science and Technology
基金
中央高校基本科研业务费资助项目(No.K505120204)
作者简介
剡熠琛,女,1996年生,陕西渭南人,信号与信息处理专业硕士研究生,主要研究方向为信号处理与检测、高速信号处理系统设计与应用。E-mail:s1424540476@163.com;赵永波,男,1972年生,河南新乡人,2000年获西安电子科技大学博士学位,教授、博士生导师,中国电子学会高级会员,主要研究方向为阵列信号处理、雷达信号处理、MIMO雷达、米波雷达。
