传感技术学报2016，Vol.29Issue(11)：1753-1758,6.DOI:10.3969/j.issn.1004-1699.2016.11.021
基于QS-ML-PMHT的多目标无源协同定位方法
A QS-ML-PMHT Based Multitarget Passive Coherent Location Method
摘要
Abstract
In order to track very low observable targets with a bistatic passive coherent location system ,where the number of targets is unknown,a quasi-Monte Carlo simulated annealing maximum likelihood probabilistic multi-hy⁃pothesis algorithm is proposed. The contributions consist of three aspects. First,the mathematical model for target detection and tracking is established. Second,a maximum likelihood probabilistic multi-hypothesis method is pre⁃sented for multitarget track initialization and determining the number of targets. In addition,the quasi-Monte Carlo simulated annealing algorithm is used for optimization and hence improving the estimation performance. Last,the track maintenance is achieved in a sliding window manner. Simulation results show the effectiveness of the pro⁃posed algorithm.关键词
无源协同定位/极大似然概率多假设/拟蒙特卡罗/模拟退火/低可观测目标Key words
passive coherent location/maximum likelihood probabilistic multi-hypothesis/quasi-Monte Carlo/simulated annealing/low observable targets分类
信息技术与安全科学引用本文复制引用
郭云飞,滕方成,曾泽斌..基于QS-ML-PMHT的多目标无源协同定位方法[J].传感技术学报,2016,29(11):1753-1758,6.基金项目
国家自然科学基金项目 （）
