摘要
针对非线性系统下不规则形状的扩展目标跟踪问题,文章提出了一种基于随机超曲面模型(RHM)的星凸形扩展目标粒子滤波算法。首先,研究利用星凸形随机超曲面对不规则形状扩展目标的外围轮廓进行建模,进而建立星凸形扩展目标量测方程。然后,结合粒子滤波算法推导星凸形随机超曲面粒子扩展目标跟踪滤波器。最后,通过实验仿真验证了该滤波算法的有效性和正确性。
Considering the problem of tracking extended target with irregular shape in nonlinear system,this paper proposes a Star-convex extended target particle filter algorithm based on random hypersurface model(RHM).Firstly,using Star-convex ran⁃dom hypersurface to model the peripheral contour of the irregular shape extended target,then the measurement equation of star con⁃vex extended target is established.Further,combined with the particle filter algorithm,a particle extended target filter based on Star-convex random hypersurface model is proposed.Finally,the effectiveness and correctness of the filtering algorithm are verified by simulation experiment.
作者
李永永
王莉
LI Yongyong;WANG Li(School of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050)
出处
《舰船电子工程》
2022年第6期42-46,75,共6页
Ship Electronic Engineering
关键词
星凸形
扩展目标跟踪
随机超曲面模型
粒子滤波
Star-convex
extended target tracking
random hypersurface model
particle filter
