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电子支援侦察是雷达对抗侦察的重要组成部分,主要借助已有情报信息对高威胁目标进行核实精测,对时效性和精确性具有较高的要求。传统的搜索方式多为周期步进或区间搜索,与电子支援侦察的任务特性和搜索要求并未完全契合,面对不同环境和任务的灵活性较差。文中基于自适应遗传算法对电子支援侦察的搜索方式进行设计:每一条染色体对应一种侦察搜索方式,染色体的基因值和基因位分别对应该时刻侦察系统的侦察区间和侦察系统在不同区间的停留顺序,以截获概率为适应度函数进行染色体的诱导变异,得到的最优染色体即为当前环境和任务下的最佳搜索方式。理论推导和实验仿真验证了该搜索方式的可行性和有效性。
Electronic support reconnaissance is an important part of radar reconnaissance and reconnaissance. The verification and measurement of high-threat targets mainly based on the existing intelligence information have high requirements on timeliness and accuracy. The traditional search methods are mostly periodic stepping or interval search, which is not fully compatible with the task characteristics and search requirements of electronic support reconnaissance and has less flexibility in different environments and tasks. In this paper, based on adaptive genetic algorithm to search for electronic support reconnaissance design: each chromosome corresponds to a reconnaissance search method, the chromosome gene value and the gene position corresponding to the reconnaissance system reconnaissance interval and reconnaissance system in different intervals Order, to intercept the probability of fitness function for chromosome induction mutation, the optimal chromosome obtained is the current environment and the task of the best search. Theoretical derivation and experimental simulation verify the feasibility and effectiveness of the search method.