雷达学报Issue(3)：309-316,8.DOI:10.12000/JR14142
基于自适应步长萤火虫-多重信号分类算法的低空目标波达方向估计
DOA Estimation of Low Altitude Target Based on Adaptive Step Glowworm Swarm Optimization-multiple Signal Classification Algorithm
摘要
Abstract
The traditional MUltiple SIgnal Classification (MUSIC) algorithm requires significant computational effort and can not be employed for the Direction Of Arrival (DOA) estimation of targets in a low-altitude multipath environment. As such, a novel MUSIC approach is proposed on the basis of the algorithm of Adaptive Step Glowworm Swarm Optimization (ASGSO). The virtual spatial smoothing of the matrix formed by each snapshot is used to realize the decorrelation of the multipath signal and the establishment of a full-order correlation matrix. ASGSO optimizes the function and estimates the elevation of the target. The simulation results suggest that the proposed method can overcome the low altitude multipath effect and estimate the DOA of target readily and precisely without radar effective aperture loss.关键词
多重信号分类算法/解相干/自适应步长萤火虫算法Key words
MUSIC algorithm/De-correlation/Adaptive Step Glowworm Swarm Optimization (ASGSO)分类
信息技术与安全科学引用本文复制引用
周豪,胡国平,汪云..基于自适应步长萤火虫-多重信号分类算法的低空目标波达方向估计[J].雷达学报,2015,(3):309-316,8.基金项目
国家自然科学基金(61372166)和陕西省自然科学基础研究计划(2014JM8308)资助课题 （61372166）
