多指标约束下的最优数字脉压滤波器设计

Design of Optimal Digital Pulse Compression Filters with Multi-object Constraints

文中提出了一种基于凸优化的数字脉压滤波器综合优化设计方法。该方法可以全面兼顾脉压滤波器的主瓣宽度、旁瓣级、信噪比损失以及多普勒容限四个性能指标,实现四者的最佳折衷,从而获得多个指标约束下的最优设计结果。针对不同的应用场合,文中给出了两个不同的设计准则(最低旁瓣准则、最小处理增益损失准则),可以灵活设计出具有各种不同期望响应的脉压滤波器。仿真实例和实录雷达回波数据处理结果验证了所提方法的有效性。

A method of digital pulse compression filters design using convex optimization is proposed. This method can provide the optimal tradeoff among the width of mainlobe, the peak sidelobe level, the signal to noise ratio loss and the Doppler tolerance of the digital pulse compressing filters. For different application situations, two different optimization rules are presented, including minimizing the peak sidelobe level and minimizing the gain loss. Using different optimization rules, digital pulse compression filters with different desiring responses can be designed flexibly for practice applications. The simulation results and real radar echo data processing results illustrate the efficiency of the proposed method.