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Journal of Projectiles, Rockets, Missiles and Guidance >

2015 , Vol. 35 >Issue 2: 25 - 28

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2015.02.007

MISSILES AND GUIDANCE TECHNOLOGY

Target Tracking Algorithm Based on Iterative Quadrature Particle Filter

  • MAO Shaofeng ,
  • FENG Xinxi ,
  • LU Chuanguo ,
  • WEI Zhang
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  • 1 Information and Navigation College, Air Force Engineering University, Xi'an 710077, China
    2 No. 95806 Unit, Beijing 100000, China

Received date: 2014-03-25

  Online published: 2025-05-26

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Abstract

In view of particle degradation problem of nonlinear target tracking, an iterative Quadrature particle filter (IQPF) target tracking algorithm was proposed based on the improved importance function. The algorithm is the basis of the Quadrature Kalman filter (QKF), the Gauss-Newton iteration method is used to make iterative processing, which can take the measurement into account by means of the iterative Quadrature Kalman filter, to make the importance function be closer to the true posterior. The computer simulation results indicate that compared with the particle filter (PF) algorithm and the Quadrature particle filter (QPF) algorithm, this algorithm has better performance in accuracy and effectively solves the particle degradation problem in nonlinear tracking.

Key words： Gauss-Newton iteration; Quadrature Kalman filter; importance function; nonlinear tracking problem

Cite this article

MAO Shaofeng , FENG Xinxi , LU Chuanguo , WEI Zhang . Target Tracking Algorithm Based on Iterative Quadrature Particle Filter[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2015 , 35(2) : 25 -28 . DOI: 10.15892/j.cnki.djzdxb.2015.02.007

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References

[1]
张洋, 芮国胜, 苗俊, 等. 扩展容积卡尔曼滤波定位技术研究[J]. 光电工程, 2012, 39(4): 38-43.
[2]
胡士强, 敬中良. 粒子滤波算法综述[J]. 控制与决策, 2005, 20(4): 361-365.
[3]
De Freitas N, Niranjan M, Gee A H, et al. Sequential Monte Carlo methods to train neural network models[J]. Neural Computation, 2000, 12(4): 955–993.
[4]
Van der Merwe R, Douce A, de Freitas N, et al. The unscented particle filter [R]. Cambridge, UK: Engineering Department, Cambridge University, 2000: 1-45.
[5]
李良群, 姬红兵, 罗军辉. 迭代扩展卡尔曼粒子滤波器[J]. 西安电子科技大学学报, 2007, 34(2): 233–238.
[6]
孙枫, 唐李军. Cubature 粒子滤波[J]. 系统工程与电子技术, 2011, 31(11): 2554-2557.
[7]
BELL B, CATHEY F. The iterated Kalman filter update as a Gauss-Newton method[J]. IEEE Transactions on Auto-matic Control, 1993, 38(2): 294-297.
[8]
Ienkaran A, Simon H, Robert JE. Discr-etetime nonlinear filtering algorithms using Gauss-Hermite quadrature[J]. Proceedings of the IEEE. 2007, 95(5): 953–977.
[9]
巫春玲, 韩崇昭. 求积分卡尔曼粒子滤波算法[J]. 西安交通大学学报, 2009, 43(2): 25-28.
[10]
Freitas JFG, Niranjan M, Gee A H, et al. Sequential Monte Carlo Methods to train neural network models[J]. Neural Computation, 2000, 12(4): 993-995.
[11]
孔云波, 冯新喜, 鹿传国. 基于改进高斯混合粒子滤波的纯方位目标跟踪算法[J]. 宇航学报, 2012,33(7):971-876.
[12]
郝燕玲, 杨峻巍, 陈亮, 等. 平方根容积卡尔曼滤波器[J]. 弹箭与制导学报, 2012,32(2):169–172.
[13]
鹿传国, 冯新喜, 张迪, 等. 蒙特卡罗马尔可夫链容积粒子滤波器[J]. 电子科技大学学报, 2012,41(6):859-864.
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