一种稳健的两维两脉冲杂波相消方法

两维两脉冲杂波对消方法,可以有效地杂波迹进行杂波预滤波,进一步提高后续空时自适应算法的动目标检测性能。但在实际中不准确的载机速度和偏航角等雷达系统参数信息,会制约其杂波抑制性能。为了解决这一问题,文中提出了一种稳健的两维两脉冲杂波相消方法,该方法进一步将载机速度和偏航角误差作为先验知识加入到滤波器系数矩阵设计中,提高了TDPC在雷达系统参数存在误差时的稳健性。并分别利用仿真数据和MCARM实测数据进行了验证。实验结果表明,在载机速度和偏航角存在误差的情况下,相比较TDPC,RTDPC能更加有效地对消杂波,改善了后续空时自适应算法的动目标检测性能。

A Robust Two-Dimensional Pulse-to-pulse Canceller of Ground Clutter

The two dimensional pulse to pulse canceller (TDPC) of ground clutter can effectively pre filter the clutter along the clutter trace and enhance the moving target's detectability of the following space time adaptive processing algorithms.However,the inaccurate radar system parameters,especially the airborne velocity and drift angel,will constrain the TDPC's clutter suppression ability.To solve this problem,a robust two dimensional pulse to pulse canceller (RTDPC) of ground clutter is proposed,in which the errors of the airborne velocity and drift angel are taken as the priori knowledge and added into the design of filtering coefficient matrix.The simulated and MCARM real data are utilized to verify the validity of the proposed method.The experimental results show that the clutter suppression performance of RTDPC can be improved compared with the TDPC under the condition for inaccurate airborne velocity and drift angle.The moving target detectability of following space time adaptive processing algorithms is also enhanced after RTDPC is used as a pre filter.