空间步进频雷达多参数联合稀疏估计方法

Multi-Parameter Joint Sparse Estimation Method for Spatial Stepped Frequency Radar

在复杂环境下,由于少快拍、低信噪比和相干信号导致目标距离-角度二维超分辨估计性能下降,误差增大,本文提出了一种基于空间步进频雷达的距离-角度二维稀疏估计方法。该方法根据空间步进频雷达的回波特性得到距离和角度联合的等效接收信号模型;然后利用迭代的加权lq-范数的稀疏渐进最小化方差方法获得距离-角度二维功率谱估计。仿真结果表明,所提方法可以准确地实现目标距离-角度的二维估计,相对于MUSIC,lq-SIM和SAMV方法,本文方法在小样本和低信噪比情况下具有较高的估计精度,并且对相干目标仍具有较好的性能。

In complex environment,the performance of range-angle two-dimensional super resolution estimation decreases and the error increases due to fewer snapshots,low signal-to-noise ratio and coherent signals.Thus,a range-angle two-dimensional sparse location method based on spatial stepped frequency radar is proposed in this paper.According to the echo characteristics of the spatial stepped frequency radar,the equivalent received signal model of the combined range and angle is obtained.Then,the range-angle two-dimensional power spectrum estimation is obtained by sparse asymptotically minimizing variance criterion of weighted l-norm.The simulation results show that the proposed method can accurately achieve the two-dimensional estimation of the target range and angle.Compared with the MUSIC,l-SIM and SAMV methods,the proposed method has higher estimation accuracy in the case of small samples and low signal-to-noise ratio.And it still has better performance for coherent targets.