极化雷达发射波形和接收滤波器联合优化新方法

A novel method to jointly optimize transmit waveform and receive filter of polarimetric radar

波形优化可有效抑制干扰和噪声,显著改善雷达性能。以极化雷达为研究对象,最大化滤波器输出信杂噪比为优化目标,发射波形能量约束为条件,构建了波形和接收滤波器的联合优化问题。对该非凸优化问题,提出了一种发射波形和接收滤波器迭代优化算法,该方法确保目标函数随迭代过程的单调递增和收敛性。实验证实了提出方法的有效性,以及相对现有方法的优势。

Waveform optimization can effectively suppress the interference and noise, and significantly improve the performance of radars. In this paper, a research is conducted on polarimetric radars with the aim of optimizing the maximization of the output Signal-to-Clutter plus Noise Ratio (SCNR), and the problem model of jointly optimizing transmit waveform and receive filter under the energy constraint is constructed. As to the non-convex optimization problem at hand, an iterative optimization algorithm to design the transmit waveform and receive filter is proposed. With the increase of the iteration number, the objective function is monotonically increasing and converging to its bounds. The experimental results show the effectiveness of the proposed algorithm and its advantage over the existing method.