Polar versus Cartesian Velocity Models for Maneuvering Target Tracking with IMM

被引:0
|
作者
Laneuville, Dann [1 ]
机构
[1] DCNS Res, F-75732 Paris 15, France
关键词
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper compares various model sets in different IMM filters for the maneuvering target tracking problem. The aim is to see whether we can improve the tracking performance of what is certainly the most widely used model set in the literature for the maneuvering target tracking problem: a Nearly Constant Velocity model and a Nearly Coordinated Turn model. Our new challenger set consists of a mixed Cartesian position and polar velocity state vector to describe the uniform motion segments and is augmented with the turn rate to obtain the second model for the maneuvering segments. This paper also gives a general procedure to discretize up to second order any non-linear continuous time model with linear diffusion. Comparative simulations on an air defence scenario with a 2D radar, show that this new approach improves significantly the tracking performance in this case.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] EKF/UKF Maneuvering Target Tracking using Coordinated Turn Models with Polar/Cartesian Velocity
    Roth, Michael
    Hendeby, Gustaf
    Gustafsson, Fredrik
    2014 17TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2014,
  • [2] An effective IMM algorithm for maneuvering target tracking
    Shi, L
    Wi, WH
    Liu, ZL
    ICSP '96 - 1996 3RD INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II, 1996, : 922 - 925
  • [3] A NONLINEAR IMM ALGORITHM FOR MANEUVERING TARGET TRACKING
    WU, WR
    CHENG, PP
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1994, 30 (03) : 875 - 886
  • [4] IMM estimator for maneuvering target tracking in GSM networks
    Zhang, Miao
    Knedlik, Stefan
    Loffeld, Otmar
    WPNC'07: 4TH WORKSHOP ON POSITIONING NAVIGATION AND COMMUNICATION 2007, WORKSHOP PROCEEDINGS, 2007, : 135 - +
  • [5] Combination of IMM Algorithm and ASTRWCKF for Maneuvering Target Tracking
    Ma, Jian
    Guo, Xiaoting
    IEEE ACCESS, 2020, 8 : 143095 - 143103
  • [6] Improved IMM Algorithm for Nonlinear Maneuvering Target Tracking
    Gao, Liang
    Xing, Jianping
    Ma, Zhenliang
    Sha, Junchen
    Meng, Xiangzhan
    2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING, 2012, 29 : 4117 - 4123
  • [7] Improved adaptive IMM algorithm for space maneuvering target tracking
    Yin J.
    Yang Z.
    Luo Y.
    Zhou J.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2021, 43 (12): : 3658 - 3666
  • [8] Maneuvering Target Tracking: A Gaussian Mixture Based IMM Estimator
    Laneuville, Dann
    Bar-Shalom, Yaakov
    2012 IEEE AEROSPACE CONFERENCE, 2012,
  • [9] An IMM Algorithm for Tracking GEO Maneuvering Target with Hybrid Thrust
    Wang C.
    Zhang D.
    Xia H.
    Ma G.
    Yuhang Xuebao/Journal of Astronautics, 2023, 44 (03): : 443 - 453
  • [10] IMM Forward Filtering and Backward Smoothing for Maneuvering Target Tracking
    Nadarajah, N.
    Tharmarasa, R.
    McDonald, Mike
    Kirubarajan, T.
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2012, 48 (03) : 2673 - 2678