采用脉冲多普勒体制的雷达需发射多个不同重复周期(PRI)的脉冲组对目标进行探测。在雷达工程中一般采用穷举搜索的方法来优选PRI,计算量巨大。文中研究了遗传算法(GA)搜索雷达PRI方法,针对机载雷达探测空中目标的特点,以速度盲区和距离盲区联合最小作为适应度评价函数,搜索结果具备良好的探测清晰区。通过仿真示例说明了遗传 算法搜索PRI的有效性,并对遗传算法的计算量进行了分析。与穷举搜索法相比,遗传算法大大减少搜索数目,可以快速搜索出满足工程要求的PRI组合,具备良好的工程适用性。

Radars referred to as pulse-Doppler are systems that transmit several pulse trains of different pulse repetition interval (PRI) for target detection. The brute force is one of the conventional methods for the selection of PRI in engineering, and it is computationally intensive. Aiming to characteristic of the target in the air, the genetic algorithm (GA) based on the fitness evaluation function which combines the blind velocity and blind range is presented to improve the efficiency of PRI search in the paper. Simulation results demonstrate the perfect performance of the proposed method and the detailed analysis of computationally cost based on GA method is made. Compared with the brute force, the GA method reduces the computation cost evidently and is suited for the rapid optimal search of radar PRI combination in engineering, and the results show the method's engineering applicability.

TN957.51