基于卡尔曼滤波的多传感器跟踪融合算法  

Multi-sensor Tracking Fusion Algorithm Based on Kalman Filters

作　　者：王永安 何光进[2] 刘毅[2] 

机构地区：[1]海军91880部队 [2]海军工程大学兵器工程系

出　　处：《船电技术》2013年第2期4-7,共4页Marine Electric & Electronic Engineering

摘　　要：总结了基于卡尔曼滤波技术的各种跟踪融合算法,分别介绍了集中式和分步式跟踪融合算法,仿真了融合效果。集中式融合算法具有最优的估计性能但是对资源的要求也最高。分布式融合算法可以节省计算量和通信带宽,在一定条件下也可以实现对目标的最优估计。Various tracking fusion algorithms based paper Centralized and distributed tracking algorithm on Kalman filter technology are summarized in the are introduced separately. The effect of fusion results are simulated. Centralized fusion algorithms have the best tracking performance but with highest demands on the resources. Distributed fusion algorithm has the property of saving computation and communication bandwidth, and under some circumstance it also can achieve the optimal estimation of the target.

关 键 词：卡尔曼滤波 目标跟踪 集中式融合算法 分布式融合算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]