杂波环境下发射-接收联合优化的自适应滤波方法

Adaptive Filter Based on the Cooptimized Transmit-receiver in Clutter

为了提高杂波环境下起伏目标的幅度估计精度,该文提出一种基于最小均方误差准则的发射-接收联合优化自适应滤波方法。首先发射一组探测信号得到接收窗外散射中心的幅度估值,然后利用该信息自适应地优化相位调制信号以抑制接收窗外强散射中心的旁瓣干扰,最后根据各个散射中心的幅度统计信息对回波进行自适应滤波处理。该方法实现了接收机到发射机的闭环反馈,在多脉冲回波的处理上提高了估计精度并降低了运算复杂度。仿真结果证明了该方法的有效性。

To improve the amplitude estimation accuracy of the fluctuating targets in clutter, an adaptive filter based on the cooptimized transmit-receiver with minimum Mean Square Error （MSE） criteria is proposed. The approach is performed in three stages. Firstly, the radar transmits a burst of probing signals to estimate the amplitudes of the out-of-window scatterers, and then the phase-modulated waveform for the next transmission is optimized adaptively based on the estimated information for sidelobe suppression of the large out-of-window scatterers. Finally, adaptive filtering for the echo signals is realized based on the statistical amplitude estimation of the scatterers in each range bin. The proposed method realizes a close-loop feedback system from the receiver and the transmitter. Moreover, it has better estimation accuracy and lower computational complexity in the filtering for the multiple echo signals. The effectiveness of the proposed method is verified by numerical simulation.