多径环境下空间步进频雷达二维稀疏估计  

Two-dimensional Sparse Estimation for Spatial Stepped Frequency Radar in Multipath Environment

作　　者：贺顺[1] 张旭阳 杨志伟[2] 张一沫 贺小艳 HE Shun;ZHANG Xuyang;YANG Zhiwei;ZHANG Yimo;HE Xiaoyan(School of Communication and Information Engineering,Xi’an University of Science and Technology,Xi’an 710600,China;National Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China)

机构地区：[1]西安科技大学通信与信息工程学院,陕西西安710600 [2]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《无线电工程》2022年第5期731-737,共7页Radio Engineering

基　　金：国家自然科学基金(61801373);西安科技大学博士(后)启动金资助项目(2017QDJ018);教育部重点实验室2016年开放基金资助项目(CRKL160206)。

摘　　要：针对多径效应导致目标距离-角度二维超分辨率估计性能严重下降的问题,提出了一种基于时间反转(Time Reversal,TR)的空间步进频雷达二维稀疏估计方法。根据空间步进频雷达的多径回波信号特性,建立了基于TR的距离和角度联合的等效接收信号模型;利用基于时间反转的二维稀疏渐进最小方差算法(TR-2D-SAMV)实现目标距离-角度的二维联合估计。仿真实验表明,所提方法在少快拍和低信噪比的复杂多径环境下可以消除大量的虚假谱峰,准确分辨直达信号和多径信号,相对于TR-CAPON和TR-MUSIC算法,能够有效利用多径能量进一步提高回波信噪比,具有良好的测距和测角性能。The performance of two-dimensional range-angle super-resolution estimation of target is seriously reduced due to the multipath effect.A two-dimensional sparse estimation method for spatial stepped frequency radar based on Time Reversal(TR)is proposed.Firstly,according to the characteristics of multipath echo signal of spatial stepped frequency radar,an equivalent receiving signal model based on TR joint range and angle is established.Then,the two-dimensional joint range-angle estimation is realized by using the two-dimensional sparse asymptotic minimum variance(TR-2D-SAMV)algorithm based on time reversal.Simulation experiments show that the proposed method can eliminate a large number of false spectral peaks in complex multipath environment with few snapshots and low SNR,and accurately distinguish direct signals and multipath signals.Compared with TR-CAPON and TR-MUSIC algorithms,the proposed algorithm can effectively use multipath energy to further improve the SNR of echo,and has good performance in range measurement and angle measurement.

关 键 词：空间步进频 多径效应 距离-角度 稀疏估计 时间反转 

分 类 号：TN985[电子电信—信息与通信工程]