一种基于遗传退火算法的MTD参数生成应用研究  

A Study on the Application of MTD Parameter Generation Based on Genetic Annealing Algorithm

作　　者：代培龙[1] 张薇 徐斐[1] DAI Peilong;ZHANG Wei;XU Fei(Nanjing Research Institute of Electronics Technology,Nanjing Jiangsu 210039,China;Space Engineering University,Beijing 102200,China)

机构地区：[1]南京电子技术研究所,江苏南京210039 [2]军事航天部队航天工程大学士官学校,北京102200

出　　处：《现代雷达》2025年第3期88-92,共5页Modern Radar

摘　　要：动目标检测(MTD)是雷达探测的重要技术之一,MTD重频参数对探测性能至关重要。文中分析了不同重频的应用场景,深入研究遗传退火算法,阐述了遗传退火算法的优劣,论述了采用基于二进制遗传退火算法设计MTD重频参数的过程,基于距离-速度清晰度构造目标函数和约束条件。根据探测速度需要,该方法可以快速构建多重频参数,优化距离-速度清晰度。仿真结果表明:该算法相对于传统穷举搜索法,是一种全局随机搜索方法,参数生成速度快,可实时产生满足系统设计要求的参数。生成的清晰度说明了该方法的有效性,并给出了一种有效的工程应用思路,在雷达设计中具有一定的工程应用价值。Moving target detection(MTD)is one of the important techniques for radar deep measurement,and MTD repetition frequency parameters are crucial for the detection performance.The application scenarios of different repetition frequencies are analyzed in this article,and the genetic annealing algorithm is deeply studied by elaborating its pros and cons.The process of designing MTD repetition frequency parameters by binary genetic annealing algorithm is also discussed.According to the objective function and constraints constructed based on the distance-velocity clarity and the detection speed requirements,multiple frequency parameters are set up quickly,distance velocity clarity is optimized,and parameters that meet the system design requirements in real time are generated by this method.Its effectiveness is demonstrated by the generated clarity,and an effective engineering application approach with certain engineering application value in radar design is provided.

关 键 词：动目标检测 遗传退火算法 探测参数优化 距离-速度盲区 

分 类 号：TN957[电子电信—信号与信息处理]