空时误差情况下的STAP方法性能分析

Performance Analysis of STAP Methods under Space-Time Errors

  • 摘要: 空时自适应处理(Space-Time Adaptive Processing,STAP)技术可以实现对机载雷达杂波的有效抑制,显著提高机载雷达对运动目标的检测性能。但在实际工程应用过程中,STAP技术不可避免地会受到各种空时误差的影响,导致其性能严重下降。本文首先给出了各种空时误差的数学模型,然后从目标导向矢量失配和杂波自由度增加两方面系统分析了误差影响STAP性能的内在机理,并以信杂噪比(Signal to Clutter plus Noise Ratio,SCNR)损失为指标分析了不同误差对STAP性能的影响,最后通过仿真实验对相关分析进行了验证。本文工作量化了不同误差对STAP性能的影响程度,可为机载脉冲多普勒雷达空时误差补偿提供重要的理论支撑。

     

    Abstract: Space-time adaptive processing (STAP) technique can effectively suppress the airborne radar clutter and significantly improve the detection performance of airborne radar for moving targets. However, in engineering application, STAP technique will inevitably be affected by various errors, resulting in performance degradation. In this paper, the mathematical models of various space-time errors are given, firstly. And then, the reason that the errors affect the STAP performance is analyzed systematically from two aspects: the target steering vector mismatch and the increase of clutter degree of freedom. After that, the influence of different errors on the performance of STAP is analyzed with the signal to clutter plus noise ratio (SCNR) loss as the index. Finally, the related analysis is verified by simulation experiments. The research work in this paper quantifies the influences of different errors on the performance of STAP and can provide important theoretical support for space-time error compensation of airborne pulse Doppler radar.

     

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