摘要
提出一种在低空场景下基于接收信号强度(Rcecived Signal Strength,RSS)与到达角度(Angle of Arrival,AOA)信息融合的单站无源定位算法。该算法采用单架无人机设备虚拟多站设备接收无线电辐射源信号,融合RSS估计的距离信息与AOA方向角信息,依据最小二乘准则(LS)构造算法的优化目标函数,采用凸松弛技术将目标函数等价为二阶锥规划(SOCP)问题并通过内点法求解。实验结果表明,该算法的定位精度在2 km范围内可达20 m,其定位性能优于单站无源定位算法,且由于采用单架无人机采集信号,其设备复杂度相较于多站无源定位较低。
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.
作者
戎俊樵
仇洪冰
李燕龙
Rong Junqiao;Qiu Hongbing;Li Yanlong(School of Information and Communication,Guilin University of Electronic Technology,Guilin 541004,Guangxi,China)
出处
《计算机应用与软件》
北大核心
2024年第8期126-131,174,共7页
Computer Applications and Software
基金
广西重点研发计划项目(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)。
