摘要
研究在漏检、无杂波情况下多传感器对数目未知的目标检测中数据关联问题 ,并将其表述为多传感器数据集之间数据的组合优化分配问题 ,提出一种基于 GA的关联算法。仿真实验表明 ,该算法具有较高的关联成功率 ,可大幅度提高多传感器系统的检测概率 ,并能对目标个数进行优化。
The problem of data association in multisensor multitarget detecting is studied in the case of no clutter, missed detections, and an unknown number of targets. The association problem is formulated as a multiple dimensional assignment problem in combinatorial optimization, which is known to be NP hard. A new association algorithm based on GA is presented to solve the problem. Finally, the simulation results showed that the algorithm improved the detection probability of multisensor system for its higher association accuracy, and optimized the number of targets to be detected.
出处
《控制与决策》
EI
CSCD
北大核心
2000年第2期189-192,200,共5页
Control and Decision
基金
国防跨行业预研项目
关键词
多传感器
数据关联
目标检测
数据融合
multisensor, multitarget, data association, combinatorial optimization, genetic algorithm
