电波科学学报2024，Vol.39Issue(6)：1168-1175,8.DOI:10.12265/j.cjors.2023325
基于混沌寻优的大动态非相干信号RELAX测向算法研究
A relaxation direction finding algorithm for large dynamic incoherent signals based on chaos optimization
摘要
Abstract
Aiming at the problems of large calculation amount and low direction finding accuracy of non-equal power navigation interference signal caused by the refraction effect of radio wave propagation along low altitude link and the difference between receiver and interference distance,an improved relaxation(RELAX)algorithm based on chaos optimization is proposed.The algorithm takes advantage of the ergodic,non-repeatability and unpredictability of chaotic phenomena,and introduces chaotic state into the optimization variables.After obtaining an approximate optimal solution,the algorithm makes use of the sensitive dependence of chaotic variables on initial conditions to conduct a fine search in the adjacent region of the optimal solution,thus greatly improving the search speed and realizing the direction finding of non-equal power navigation interference signals.When the algorithm is applied to the simulation of uniform linear array,it can reduce the computational load and improve the accuracy of the direction finding algorithm when two or more strong navigation interference signals coexist with weak target signals.Under the condition that the signal to noise ratio of the weak signal is higher than 15 dB and the interference to signal ratio of the strong interference to the weak signal is lower than 25 dB,the root mean square of the direction finding algorithm proposed in this paper is less than 3°.Compared with the algorithm with the highest simulation accuracy in the paper,the accuracy is improved by about 0.1°-0.2°.关键词
RELAX算法/混沌优化/强弱信号共存测向/导航干扰信号/均匀线阵Key words
RELAX algorithm/chaos optimization/both strong and weak signal direction finding/navigation interference signal/uniform linear array分类
信息技术与安全科学引用本文复制引用
郭述利,陈云帆,梅竹青,孙中森..基于混沌寻优的大动态非相干信号RELAX测向算法研究[J].电波科学学报,2024,39(6):1168-1175,8.基金项目
国家重点研发计划战略国际科技合作与创新计划(批准号2018YFE0206500) （批准号2018YFE0206500）
