摘要
针对传统空间目标到达角估计方法在短快拍、阵列故障等条件下性能下降甚至失效的问题,充分利用目标在空间上的稀疏特征,研究了一种基于压缩感知理论的高频雷达目标到达角估计方法。首先给出了高频雷达回波模型,在此基础上构建了基于压缩感知理论的目标到达角稀疏表示模型,然后通过相应的压缩感知重构算法实现目标到达角的估计,最终通过仿真实验对上述方法进行了进一步验证。
Aiming at the problem of performance degradation or even failure of traditional target angle of arrival estimation methods under short snapshots and array faults,a method is studied for estimating the angle of arrival of high frequency radar targets based on compressed sensing theory by taking full advantage of the sparse characteristics of targets.Firstly,the echo model of high frequency radar is given.The sparse representation model of target arrival angle based on compressed sensing theory is constructed.And then,the estimation of target arrival angle is realized by corresponding compressed sensing reconstruction algorithm.Finally,the above method is further verified by simulation experiments.
作者
王力
赵丽
齐志平
李远
李阳
Wang Li;Zhao Li;Qi Zhiping;Li Yuan;Li Yang(Unit 95980 of PLA,Xiangyang 441000,Hubei,China;Radar NCO school of air force early warning academy,Wuhan 430019,Hubei,China)
出处
《航天电子对抗》
2020年第2期25-28,32,共5页
Aerospace Electronic Warfare
关键词
压缩感知
高频雷达
目标到达角
稀疏重构
compressed sensing
high frequency radar
direction of arrival
sparse reconstruction