空天预警研究学报2026，Vol.40Issue(1)：57-61,5.DOI:10.3969/j.issn.2097-180X.2026.01.011
基于改进遗传算法的岸基无源传感器优化部署研究
Research on optimized deployment of shore-based passive sensor based on improved genetic algorithm
王德友 1安永旺 1段永胜1
作者信息
- 1. 国防科技大学电子对抗学院,合肥 230037
- 折叠
摘要
Abstract
In order to solve the problems such as low utilization rate and unreasonable collaborative deploy-ment of shore-based passive sensors,this paper proposes a collaborative deployment optimization method based on an improved genetic algorithm(IGA),aimed to enhance the reconnaissance coverage of the aerial target areas in maritime direction by rationally configuring sensor positions.Firstly,a regional coverage model is constructed,and a multi-strategy crossover-operator is introduced,which improves the global optimization ability;and then a self-adaptive mutation mechanism is introduced to dynamically adjust the mutation rate,balance population diversity and convergence speed.The simulation results demonstrate that compared with the other three optimization algo-rithms,the IGAexhibits significant performance advantages in terms of convergence accuracy and algorithm stability.关键词
改进遗传算法/无源传感器/优化部署/覆盖率Key words
improved genetic algorithm(IGA)/passive sensor/optimized deployment/coverage rate分类
信息技术与安全科学引用本文复制引用
王德友,安永旺,段永胜..基于改进遗传算法的岸基无源传感器优化部署研究[J].空天预警研究学报,2026,40(1):57-61,5.
