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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 with pulsed Doppler radar systems need to emit multiple PRI pulses to detect targets. In radar engineering, exhaustive search is generally used to optimize PRI, which requires a huge amount of computation. In this paper, the genetic algorithm (GA) search radar PRI method is studied. According to the characteristics of airborne radar detecting airborne targets, the joint detection of speed blind zone and distance blind zone is taken as the fitness evaluation function, and the search results have good detection clear zones. The simulation results show that the genetic algorithm searches for the validity of PRI and the computational complexity of genetic algorithm is analyzed. Compared with the exhaustive search method, genetic algorithm greatly reduces the number of search, you can quickly search to meet the engineering requirements of the PRI portfolio, with good engineering applicability.