集中式多传感器广义相关算法

摘要

Aiming at applying the centralized multi-sensor tracking system in an engineering situation of a high time-consuming demand and a relative tracking-precision demand, a new algorithm named parallel centralized multi-sensor general association algorithm is proposed based on the theoretical analysis of the advantages and disadvantages of the existing algorithms. In this algorithm, the score function of the multi-sensor general association algorithm is ohtaincd. with which the measurement-track association, the track filter, the track quality management and the track initiation arc done. The analysis results of the simulation data and the actual data show that both the tracking precision requirement and the time-consuming requirement of the centralized multi-sensor system are satisfied with this algorithm. The general performance is better than that of sequential centralized multi-sensor joint probabilistic data association algorithm and parallel centralized multi-sensor probabilistic nearest neighbor standard algorithm.%为把集中式多传感嚣系统顺利应用于需要较小耗时和准确跟踪的工程场景,基于对现有算法优缺点的理论分析,提出了并行处理结构的集中式多传感器广义相关算法:该算法建立了多传感器广义相关算法得分函数,并基于得分函数完成了点航互联、跟踪滤波、航迹质量管理和航迹起始；经仿真及实测数据验证,该算法能够同时满足集中式多传感器系统对算法耗时及跟踪准确性的需求,整体性能优于顺序处理结构的集中式多传感器联合概率数据互联算法和并行处理结构的集中式多传感器概率最近邻域算法.