摘要
提高目标的定位精度一直以来都是无源定位关注的主要问题,通过分析目标位置误差的Fisher信息矩阵以及对应的Cramer-Rao下界与传感器位置及数量的关系,得到使定位误差最小的传感器分布情况。给出了目标距离较远时,在二维及三维定位中基于时差定位方法的传感器最佳分布。
How to improve location precision has always being the main problem in passive location. This paper analyzed Fisher information matrix and Cramer-Rao lower bound (CRLB) of target position error and found the optimum sensor allocation with the least location error. The optimum sensor allocation in two and three dimensions based on Time Difference Of Arrival (TDOA) location has also been analyzed when the range of target is far away.
出处
《计算机应用》
CSCD
北大核心
2009年第B12期58-62,65,共6页
journal of Computer Applications