摘要
针对TDOA-FDOA-AOA联合定位中目标状态求解这一难题,提出了一种简单有效的闭式求解算法.首先根据几何关系,通过测量值变换,将与目标位置、速度高度非线性的时差、频差、角度测量方程转换为关于目标状态的线性函数,再利用加权最小二乘估计求得目标状态估计.性能分析及仿真结果证明了所提算法具有较好的定位性能.
This paper proposes a simple and efficient closed-form solution for a moving source localization using the time difference of arrival(T D O A),frequency difference of arrival(FD O A)and angle of arrival(AC)A)measurements obtained at spatially distributed moving receivers.The developed method first converts nonlinear TDO A,FDOA and AOA equations into linear ones by the localization geometry relation,and then obtains the final source status estimate using the weighted least squares(WLS)technique,"rhcorctical analysis and simulations verify the approximate efficiency of the developed positioning technique and its improved performance over the benchmark iterative method.
作者
邓兵
孙正波
杨乐
DENG Bing;SUN Zhengbo;YANG Le(National Key Lab.of Science and Technology on Blind Signal Processing,Chengdu 61004 1,China;School of Internet of Things(IoT)^Engineering,Jiangnan Univ.,Wuxi 214122,China)
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2018年第2期171-175,180,共6页
Journal of Xidian University
基金
国家自然科学基金资助项目(61172140
61304264)
关键词
无源定位
到达时间差
到达频率差
到达角度
克拉美罗界
passive localization
time difference of arrival(T D O A)
frequency difference of arrival(FDOA)
angle of arrival(AOA)
Cramcr-Rao lower bound(CRLB)