Two-dimensional pulse-to-pulse canceller (TDPC) of ground clutter can effectively suppress the clutter along the clutter trace, and therefore the moving target detectability of the following space-time adaptive processing (STAP) algorithm can be improved after TDPC as the clutter prefilter. However, TDPC may greatly impair the energy of moving target when inaccurate knowledge is exploited, which is detrimental to target detection. Aiming at this problem, a robust two-dimensional pulse-to-pulse canceller (RTDPC) of ground clutter is proposed. In order to enhance the TDPC’s robustness with inaccurate radar system parameters, which are mainly the platform velocity and crab angle, the errors of estimated platform velocity and crab angle are taken as the prior knowledge and added into the design of the clutter filter coefficient matrix. By exploiting RTDPC as the clutter prefilter, the moving target detectability of the following nonadaptive detection algorithm or STAP algorithm can also be enhanced. The simulated and MCARM data are utilized to verify the clutter suppression performance of RTDPC with inaccurate platform velocity and crab angle.

中文翻译：

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基于机载雷达不准确先验知识的鲁棒地杂波消除器

地杂波二维脉冲对脉冲消除器（TDPC）可以有效抑制沿杂波轨迹的杂波，因此TDPC后可以提高后续空时自适应处理（STAP）算法的运动目标可探测性作为杂波预过滤器。然而，当利用不准确的知识时，TDPC可能会极大地削弱运动目标的能量，这不利于目标检测。针对这个问题，提出了一种鲁棒的二维地杂波脉冲到脉冲消除器（RTDPC）。为了提高TDPC在雷达系统参数不准确的情况下的鲁棒性，主要是平台速度和偏航角，将估计的平台速度和偏航角的误差作为先验知识加入到杂波滤波器系数矩阵的设计中。利用RTDPC作为杂波前置滤波器，也可以提高后续非自适应检测算法或STAP算法的运动目标检测能力。利用仿真和MCARM数据验证RTDPC在平台速度和偏航角不准确的情况下的杂波抑制性能。