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基于复域超多维标度的混合TOA/AOA定位算法 被引量:2

Research on hybrid TOA/AOA location algorithm based on super multidimensional scale in complex domain
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摘要 针对全球卫星导航系统信号完全拒止环境下的定位问题,使用超宽带(UWB)技术获取测量信息,基于多维标度变换算法(MDS)提出一种复域下的混合测距信息(TOA)和测角信息(AOA)的超多维标度定位算法(TASMDS),并进一步构建了复域内的核矩阵,提出复域下的超多维标度定位算法(TA-CDSMDS)。对比3种算法的定位结果,以及10°、15°、20°测角误差和不同测距误差下的定位误差,得TA-CDSMDS算法相较于TA-SMDS和MDS,有更小的定位误差,更贴近克拉美罗下界;分析不同节点下3种的计算时间,TA-CDSMDS算法在优化TA-SMDS的基础上减少28%~48%的时间,具有更好的定位性能。 This paper uses ultra-wide-band(UWB)technology to obtain measurement information,based on the multidimensional scale(MDS)algorithm,a super multidimensional scale positioning algorithm(TA-SMDS)is proposed,which combines time of arrival(TOA)and angle of arrival(AOA)information,with the goal of solving the localization problem in the environment of the global satellite navigation system signal complete rejection.Based on the TA-SMDS algorithm,the kernel matrix in complex domain is further constructed,a super multi-dimensional scaling location algorithm in complex domain(TA-CDSMDS)is proposed.Comparing the positioning results of the three algorithms and the errors under the angular of 10°,15°,and 20°as well as different ranging errors,it can be obtained that the TA-CDSMDS algorithm has smaller positioning errors and is closer to the CRLB than the TA-SMDS and MDS.Analyzing the calculation time of the algorithm under different nodes,the TA-CDSMDS algorithm reduces the time by 28%to 48%based on the optimized TA-SMDS,and has better localization performance.
作者 鹿浩 侯玉涛 杨晓倩 曹宁 Lu Hao;Hou Yutao;Yang Xiaoqian;Cao Ning(School of Computer and Information,Hohai University,Nanjing 211100,China)
出处 《电子测量技术》 北大核心 2023年第13期39-45,共7页 Electronic Measurement Technology
关键词 到达时间 到达角度 多维标度变换 复域超多维标度变换 定位算法 time of arrival angle of arrival multi-dimensional scale complex domain super multi-dimensional scale localization algorithm
作者简介 鹿浩,博士,讲师,主要研究方向为信号处理、无线传感网络技术等。E-mail:luhao@hhu.edu.cn;通信作者:侯玉涛,硕士研究生,主要研究方向为信号处理、协同定位等。E-mail:531412442@qq.com
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