非均匀环境下雷达动目标检测的空时自适应处理

Space-Time Adaptive Processing for Detection of Moving Radar Target in Heterogeneous Environments

研究一种非均匀环境下地面动目标检测的STAP算法。该算法将直接数据域内基于正弦曲线幅相估计的检测算法从空域维扩展到空时二维,提高目标回波幅度的估计精度,改善输出信杂噪比,有效地克服了原算法对弱目标检测性能差和虚警率高等缺陷。仿真结果验证了这种方法的有效性。

A moving ground target detection method based on space-time adaptive processing （STAP） is studied in a heterogeneous environment. By extending the amplitude and phase estimation of a sinusoid （APES） method from the space domain to the space-time processing in the direct data domain, this approach improves the accuracy of target amplitude estimation and the output signal-to-clutter-and-noise ratio （SCNR）, and overcomes shortcomings of traditional methods such as insensitivity to weak targets and high false alarm probability. Simulation results demonstrate validity of this improved method.