一种主瓣干扰环境下的雷达目标参数"同维"稀疏估计方法

主瓣干扰对抗一直以来是雷达领域的难题之一,给雷达的探测、跟踪和识别带来了严重威胁.对此,本文提出了一种主瓣干扰环境下的雷达目标参数"同维"稀疏估计方法,可有效抑制主瓣干扰并估计目标距离、角度参数.所提方法首先对接收信号进行阻塞矩阵预处理,可在抑制主瓣干扰的同时保持目标回波在各阵元之间的相位关系,即保留了目标的角度信息;然后对预处理后的数据进行空域波束合成并脉压,可估计目标的距离参数信息;最后,根据得到的目标距离估计,截取预处理数据中目标附近的数据,并对其进行稀疏恢复估计目标角度参数.所提方法即可应用于面阵,也可应用于线阵,其优势在于可以在空域任何一维上抑制主瓣干扰,并同时估计目标在空域两维上的角度.尤其是当目标与干扰的某一维空域角度相同时,所提方法仍然可以同时估计目标的方位、俯仰角.

A “Same Dimension” Sparse Estimation Method for Radar Target Parameter in Mainlobe Jamming

The suppression of mainlobe jamming (MLJ) is a hard task and an open problem in the radar field,and it brings a big challenge for radar target detection,tracking,and identification.Hence,we propose a "same dimension" sparse estimation method for radar target parameter in MLJ.The proposed method can effectively suppress the MLJ and simultaneously estimate the target range and angle.Precisely,the block matrix preprocessing (BMP) algorithm is adopted to suppress the MLJ,and the target angle information can be hold on.Then the target range is estimated effectively through the beamforming and pulse compression.According to the target range estimation result,the preprocessed data should be intercepted as training samples for the target angle estimation.The proposed method can be applied for linear array and planar array.It is worth pointing out that the proposed method can effectively estimate the target azimuth and elevation simultaneously when the target azimuth (or elevation) equals to the jamming azimuth (or elevation).