摘要
针对传统的粒子滤波(PF)的多传感器目标跟踪算法存在计算量过大的问题,研究了一种基于PF和数据压缩(PF-DC)的多传感器目标跟踪算法。仿真结果表明,与传统的串行多传感器PF算法相比较,该算法可以极大的降低算法的计算量,从而有效地提高算法的实时性。
The traditional particle filter（PF） based multi-sensor target tracking has the problem of huge computation load.To solve this problem,a novel method based of PF and data compressing（PF-DC） is proposed in this paper.Simulation results demonstrate that,compared with the traditional method,the proposed can cut down the computation load remarkably,and improve the time effectiveness greatly.
出处
《舰船电子工程》
2013年第3期31-33,共3页
Ship Electronic Engineering
基金
国家自然科学基金项目(编号:60972159)资助
