基于遗传模拟退火算法的重频选择

Pulse Repetition Frequency Sets Selection Based on Genetic Simulated Annealing Algorithm

摘要: 中重频脉冲多普勒雷达能够在距离和速度两个维度上较好地实现目标和杂波的区分，具有良好的强杂波抑制能力，广泛地应用于各类雷达系统。其中，重频选择是中重频雷达设计中重要的一环。基于N/M检测准则，合理的重频组合能够有效地缩减距离速度二维遮蔽区域面积，提升雷达探测性能。本文针对重频组合选择问题，提出了一种基于遗传模拟退火算法的中重频优化选择算法。该算法结合了遗传算法和模拟退火算法，克服了“早熟”现象，提升了优化效率。试验表明，相较于单纯的遗传算法和模拟退火算法，该算法能够更有效、更快速地获得最优重频组合。

Abstract: Medium pulse repetition frequency pulsed-Doppler radars can distinguish clutter and targets in both range space and Doppler space clearly. It brings favorable clutter suppression ability and widely application in various radar systems. The selection of multiple pulse repetition frequency sets plays an important role. Based on N/M detection rule, felicitous sets can compress the blind zones of range and Doppler and improve the radar system performance. The paper proposed a method for medium pulse repetition frequency set selection, based on genetic simulated annealing algorithm. The method inosculates the evolution algorithm and the simulated annealing algorithm. It avoids the early convergence and improves the optimization performance. The results show that the method acquires optimum medium pulse repetition frequency set more effectively, compared with genetic algorithm or simulated annealing algorithm.