[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

弹箭与制导学报 >

2017 , Vol. 37 >Issue 4: 19 - 22

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2017.04.005

导弹与制导技术

一种改进的容积信息粒子滤波多目标跟踪算法

  • 赵毅寰 ,
  • 陈伟 ,
  • 刘哲 ,
  • 沈康
展开
  • 1 中国空空导弹研究院,河南洛阳 471009
    2 航天恒星科技有限公司,北京 100086
    3 北京航空航天大学电子信息工程学院,北京 100191

赵毅寰(1982-),男,河南南阳人,高级工程师,博士,研究方向:雷达信号处理。

收稿日期: 2016-07-19

  网络出版日期: 2025-05-28

基金资助

中国航空工业集团公司创新基金(2014C01407R); 航空基金(20130112002)

收起

An Improved Volume Information Particle Filtering Multi-targetTracking Algorithm

  • ZHAO Yihuan ,
  • CHEN Wei ,
  • LIU Zhe ,
  • SHEN Kang
Expand
  • 1 China Airborn Missile Academy, Henan Luoyang 471009, China
    2 Space Star Technology Co. Ltd, Beijing 100086, China
    3 School of Electronics Information Engineering, BUAA, Beijing 100191, China

Received date: 2016-07-19

  Online published: 2025-05-28

Fold

摘要

为了解决传统的自举式粒子滤波采用状态转移密度作为重要性采样函数呈现粒子退化、跟踪精度差等问题,文中采用后验概率作为重要性采样函数并提出其估计方法。通过容积信息滤波和Gating技术,估计重要性采样函数对应的均值和方差,完成重要性采样函数设计。使用改进后的粒子滤波方法,在非线性场景下对多个目标的状态和目标数目进行了估计。仿真结果表明,本算法在非线性多目标跟踪场景下具有估计精度高、稳定性好的优点。

关键词： 自举式粒子滤波; 重要性采样函数; 容积信息滤波; Gating 技术

本文引用格式

赵毅寰 , 陈伟 , 刘哲 , 沈康 . 一种改进的容积信息粒子滤波多目标跟踪算法[J]. 弹箭与制导学报, 2017 , 37(4) : 19 -22 . DOI: 10.15892/j.cnki.djzdxb.2017.04.005

Abstract

In order to solve the problem such as particle degeneration and poor tracking accuracy presented by traditional bootstrap particle filter adopting state transition density as importance sampling function, in this paper, the posterior probability was used as the importance sampling function and its estimation method was proposed. By means of volume information filtering and Gating technology, the mean and variance of importance sampling function were estimated, and the importance sampling function was designed. With the improved particle filter method, the states and numbers of targets were estimated in nonlinear scenario. The simulation results demonstrated that the proposed algorithm had the advantages of high tracking accuracy and good stability in the nonlinear multi-target tracking scenario.

Key words： bootstrap particle filtering; importance sampling function; volume information filtering; Gating technology

[an error occurred while processing this directive]

参考文献

[1]
NEY M,CLARK D E,JULIER S J. Distributed fusion of PHD filters via exponential mixture densities[J].IEEE Journal of Selected Topics in Signal Processing,2013,7 (3):521-531.
[2]
LIU Z,WANG Z,XU M,et al. A novel CIF-based SMCPHD approach for tracking multiple nonlinear targets[C]//IEEE. 2015 IEEE Radar Conference (RadarCon).[S.l.:s.n.],2015: 555-560.
[3]
王玲玲,辛云宏. 基于形态学与遗传粒子滤波器的红外小目标检测与跟踪算法[J].光子学报,2013(7):849-856.
[4]
MIHAYLOVA L,CARMI A Y,SEPTIER F,et al. Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking[J].Digital Signal Processing,2014,25(1):1-16.
[5]
宋宇,李庆玲,康轶非,等. 平方根容积Rao-Blackwillised粒子滤波SLAM算法[J].自动化学报,2014,40(2):357-367.
[6]
PITT M K,SHEPARD N. Filtering via Simulation: Auxiliary Particle Filters[J].Journal of the American Statistical Association,1999,94(446):590-599.
[7]
LEE S M,JUNG J,KIM S,et al. DV-SLAM (Dual-Sensor- Based Vector-Field SLAM) and observability analysis[J].IEEE Transactions on Industrial Electronics,2015, 62(2):1101-1112.
[8]
BASER E,EFE M. A novel auxiliary particle PHD filter[C]//IEEE.2012 15th International Conference on Information Fusion (FUSION) . Singapore: IEEE Press,2012:165-172.
[9]
ISAAC A,WILLETT P,BAR-SHALOM Y. Quickest detection and tracking of spawning targets using monopulse radar channel signals[J].IEEE Transactions on Signal Processing,2008,56(3):1302-1308.
[10]
LI Liangqun,JI Hongbing,LUO Junhui. The iterated extended Kalman particle filter[C]//IEEE. 2005 International Symposium on Communications and Information Technology.[S.l.:s.n.],2005: 1213-1216.
[11]
MOHAMMADI A,ASIF A. Consensus-based distributed unscented particle filter[C]//IEEE. 2011 IEEE Statistical Signal Processing Workshop (SSP). Nice: IEEE, 2011: 237-240.
[12]
常天庆,李勇,刘忠仁,等. 一种改进重采样的粒子滤波算法[J]. 计算机应用研究,2013,30(3):748-750.
[13]
CHANDRA K P B,GU D W,POSTLETHWAITE I. Square root cubature information filter[J].IEEE Sensors Journal,2013,13(2):750-758.
[14]
曹有亮,张金鹏. 扩展卡尔曼滤波器的目标机动信息估计研究[J]. 航空兵器,2016(1):40-44.
Options
文章导航

/

〈 〉

[an error occurred while processing this directive]