摘要
在分布式多站时差定位系统的研究中,现有定位算法存在的定位模糊、无解、不稳定、运算量大等问题。为了解决这些问题,提出了一种基于奇异值分解的秩截短多站时差定位算法。仿真和实际应用都验证了新算法的有效性。新算法有效地利用了定位方程组系数矩阵的先验秩信息,不但提高了定位精度,而且还增加了可观测性。
The problems of solution ambiguity,no solution,instability,large amount of computation,etc.Often appear in the distributed multi-station TDOA location systems.In order to solve these problems,a rank-truncated multi-station TDOA localization algorithm based on singular value decomposition was presented.The simulation and practical application validated the effectiveness of the algorithm.The new algorithm made use of a priori rank information of the localization equations＇ coefficient matrix.The localization accuracy and observability were improved.
出处
《探测与控制学报》
CSCD
北大核心
2010年第3期74-78,82,共6页
Journal of Detection & Control
关键词
无源定位
时差定位
奇异值分解
passive localization
TDOA localization
singular value decomposition
