计算机应用与软件2024，Vol.41Issue(8)：126-131,174,7.DOI:10.3969/j.issn.1000-386x.2024.08.018
RSS和AOA融合的单站低空无线电辐射源定位算法
SINGLE-STATION LOW-ALTITUDE RADIO SOURCE LOCATION ALGORITHM BASED ON RSS AND AOA INTEGRATION
摘要
Abstract
This paper proposes a single-station passive location algorithm based on the information fusion of received signal strength(RSS)and angle of arrival(AOA)in low-altitude scenarios.The algorithm used a single UAV equipment virtual multi-station equipment to receive radio radiation source signals,and fused the distance information estimated by RSS and AOA direction angle information.According to the least square criterion(LS),we constructed the optimized objective function of the algorithm,and the convex relaxation technology was used to equivalent the objective function to a second-order cone programming(SOCP)problem and solved it by the interior point method.Experimental results show that the positioning accuracy of this algorithm can reach 20 m within a range of 2 km,and its positioning performance is better than that of a single-station passive positioning algorithm.Moreover,due to the use of a single UAV to collect signals,its equipment complexity is lower than that of multi-station passive positioning.关键词
室外定位/接收信号强度/到达角度/二阶锥规划/凸松弛技术Key words
Outdoor positioning/RSS/AOA/Second-order cone planning/Convex relaxation technology分类
信息技术与安全科学引用本文复制引用
戎俊樵,仇洪冰,李燕龙..RSS和AOA融合的单站低空无线电辐射源定位算法[J].计算机应用与软件,2024,41(8):126-131,174,7.基金项目
广西重点研发计划项目(桂科AB18126030) （桂科AB18126030）
认知无线电与信息处理教育部重点实验室2019年主任基金项目(CRKL190109). （CRKL190109）
