基于主瓣杂波高效配准的机载非正侧视阵雷达STAP算法研究

An Efficient STAP Algorithm for Nonsidelooking Airborne Radar Based on Mainlobe Clutter Compensation

该文针对机载非正侧视阵雷达杂波距离空变特性,提出基于主瓣杂波高效自适应配准的STAP算法。为降低运算量,采用时空级联方法首先精确估计主杂波多普勒频率,然后采用稀疏重构技术估计主杂波的空间角频率,进而对不同距离单元的主杂波进行2维配准,最后采用3DT进行杂波抑制。仿真实验表明,经主杂波配准后,3DT改善因子在主杂波区提高了约18 dB,显著提高了对慢动目标的检测性能,且该文方案实时处理的运算量小。

An efficient STAP algorithm for NonSideLooking （NSL） airborne radar is presented. The algorithm can mitigate the range dependence of clutter by mainlobe clutter compensation. To reduce the computational complexity, the Doppler frequency of the mainlobe clutter is firstly estimated via FFT in the time domain, and then the spatial frequency is accurately obtained by sparse reconstruction corresponding to the output of the mainlobe clutter Doppler cell. Therefore, based on the estimated location of the mainlobe clutter, the clutter corresponding to different range cells can be adaptively compensated, which results in improved clutter suppression performance of the following 3DT processing. As shown in the simulation, the Improvement Factor （IF） of 3DT is increased about 18 dB in the domain of mainlobe, which can greatly improve the detection of slow-moving targets. In addition, the proposed scheme can be applied to real-time processing owing to its small computational load.