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.
出处
《船电技术》
2013年第2期4-7,共4页
Marine Electric & Electronic Engineering
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
Kalman filter
target tracking
centralized fusion algorithm
distributed fusion algorithm
