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Robust short-range clutter suppression algorithm for forward looking airborne radar

机译:前视机载雷达的鲁棒短程杂波抑制算法

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The short-range clutter has serious range dependence for forward looking airborne radar (FLAR). As a result, when a radar detects moving targets on far range gates, the ambiguous short-range clutter degrades the performance of ground moving target indication (GMTI) obtained by spacetime adaptive processing (STAP). The elevation three dimensional adaptive processing can well mitigate the problem, but, the computational load of the method is too heavy to be applied in real scenarios. A robust elevation pre-filtering algorithm is proposed. This method does not need adaptive processing on the elevation elements in a planar-array antenna. Therefore, the computational load can be reduced greatly. This method suppresses the ambiguous short-range clutter by multi-elevation angles restriction and the cancellation weight on the clutter has a deep and wide notch. Moreover, the method is robust to the elevation angle errors. Simulation results show the validity of the method.
机译:对于前视机载雷达(FLAR),短程杂波具有严重的范围依赖性。结果,当雷达检测到远距离门上的移动目标时,模棱两可的短程杂波会降低通过时空自适应处理(STAP)获得的地面移动目标指示(GMTI)的性能。高程三维自适应处理可以很好地缓解该问题,但是该方法的计算量太大,无法应用于实际场景。提出了一种鲁棒的高程预滤波算法。该方法不需要对平面阵列天线中的高程元素进行自适应处理。因此,可以大大减少计算量。该方法通过多仰角限制来抑制模糊的近距离杂波,并且杂波上的抵消权重具有深而宽的切口。而且,该方法对于仰角误差是鲁棒的。仿真结果表明了该方法的有效性。

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