摘要
针对目标位于地球表面且高程已知的情形,首先推导了在到达时间定位体制下,接收站存在站址误差时,目标定位的克拉美罗下限;然后基于目标高度约束信息,简化定位方程,并利用加权最小二乘定位算法,实现了目标位置的定位解算.同时在理论上分析了高程信息对目标定位精度的改善效果以及所提算法的性能,证明了算法的有效性.仿真结果表明,该算法具有较好的定位精度.
This paper considers the problem of locating a source on the Earth surface whose altitude is known a priori using time of arrival (TOA) measurements obtained in spatially distributed receivers. The receiver positions are subject to random errors. The Cramer-Rao lower bound (CRLB) analysis shows that exploiting the source altitude information can improve the source localization accuracy compared to the TOA-only localization system. A weighted least squares (WLS) source localization algorithm exploring both the source altitude and TOA measurements is developed. The proposed solution is shown analytically to achieve the CRLB over a small noise region. Simulation results demonstrate the good performance of the proposed method.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2017年第3期133-137,共5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
站址误差
加权最小二乘估计
克拉美罗界下限
geolocation
time of arrival (TOA)
receiver location errors
weighted least squares (WLS) estimation
Cramer-Rao lower bound (CRLB)