基于线性调频信号的空时自适应杂波谱估计  

Chirp-Based Space-Time Clutter Spectrum Estimation for STAP Radar by Sparse Representation

作　　者：白尕太 罗昀 陈国斌 聂伟 余银 BAI Gatai;LUO Yun;CHEN Guobin;NIE Wei;YU Yin(Science and Technology on Electronic Information Control Laboratory,Chengdu 610036,China)

机构地区：[1]电子信息控制重点实验室,成都610036

出　　处：《电子信息对抗技术》2021年第1期14-17,97,共5页Electronic Information Warfare Technology

摘　　要：空时自适应信号处理(STAP)是抑制强杂波的有效工具。由于线性调频信号(chirp)已经大范围应用于雷达,提出一种适应于chirp信号的STAP方法,并将其应用于杂波空时谱的估计。由于场景的非平稳性,传统通过大量训练样本的方法很难得到准确的杂波空时谱,因此引入了稀疏方法进行空时谱估计。该方法只需要用一个训练样本即可得到杂波空时谱。仿真实验在正侧视和非正侧视模型下采用非凸局部最优化的欠定系统局灶算法(FOCUSS)和正交匹配搜索算法(OMP)验证了chirp-STAP模型的有效性。Space-time adaptive processing(STAP)is an effective tool for suppressing strong clutter.Because the chirp signal is widely used in airborne radar,a chirp based on space-time signal model,termed chirp-STAP,is developed to estimate the space-time clutter spectrum.Because of the non-homogeneity of the environment,the sparse method is introduced to the chirp-STAP,which needs only one training sample.Numerical results demonstrate that the proposed model can obtain a high performance both in side-looking case and non-side-looking case when using the focal underdetermined system solver(FOCUSS)and the orthogonal matching pursuit(OMP).

关 键 词：空时自适应信号处理 线性调频信号 稀疏 杂波空时谱 

分 类 号：TN971.1[电子电信—信号与信息处理]