基于时域自适应FIR滤波的空时处理方法

传统的后多普勒自适应处理方法,如果仅仅选用一个多普勒通道的输出数据进行空域滤波时,虽然对旁瓣杂波的抑制接近最优,但是对主瓣杂波抑制性能较差。针对以上问题,提出了基于时域自适应有限长单位冲激响应(finite impulse response, FIR)滤波的空时处理方法。该方法先设计一组自适应FIR滤波器,利用这组自适应FIR滤波器对雷达回波数据进行时域FIR滤波,然后分别对同一多普勒通道的输出数据进行空域自适应处理。仿真结果表明,该方法的杂波抑制性能优于1DT方法,而且该方法在天线阵元存在一定的随机幅度和相位误差情况下,杂波抑制性能损失不大。

Space-time processing method with temporal adaptive FIR filters

In the traditional post-Doppler adaptive processing approach, one-pulse channel is used in the temporal filter and the sidelode clutter can be effectively suppressed, while the performance of the suppressing mainlobe clutter is poor. To address these issues, a space-time processing method based on temporal adaptive finite impulse response (FIR) filters is proposed. This method firstly designs a set of adaptive FIR filters, and then an adaptive Doppler filtering operation is performed to the output data of each column subarray. Finally, adaptive beamforming is applied respectively to process the output corresponding to the same Doppler filter. Simulation results show that the proposed method is superior to the 1DT method. In addition, the performance of proposed method is robust in the presence of the array amplitude-phase error.