Comparison of gating techniques for maneuvering target tracking in clutter

Gating for maneuvering target tracking in clutter is considered. Based on the conventional model probability weighted gating (MPWG) technique, three modified gating techniques are given, including adaptive gating (AG), model probability weighted centralized gating (MPW-CG), and model probability weighted model based gating (MPW-MBG). Furthermore, a measure based on the error covariance matrix is used for performance comparison which is more comprehensive. Simulation results show the effectiveness of the modified gating techniques and their superiority to the MPWG technique. MPW-CG is recommended based on the performance and computational complexity jointly.

[1]  X. Rong Li,et al.  A New Performance Metric for Search and Track Missions 2: Design and application to UAV search , 2009, 2009 12th International Conference on Information Fusion.

[2]  X. Rong Li,et al.  UAV Route Planning for Joint Search and Track Missions—An Information-Value Approach , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Stephen J. Roberts,et al.  Robust Measurement Validation in Target Tracking Using Geometric Structure , 2010, IEEE Signal Processing Letters.

[4]  Thia Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .

[5]  M. R. Walbridge,et al.  Quantifying the benefits of complex radar resource management techniques for airborne electronically scanned radars , 2007 .

[6]  Darko Musicki,et al.  Joint Integrated Probabilistic Data Association - JIPDA , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

[7]  G. A. Watson,et al.  IMMPDAF for radar management and tracking benchmark with ECM , 1998 .

[8]  Qun Wan,et al.  A gate size estimation algorithm for data association filters , 2008, Science in China Series F: Information Sciences.

[9]  Subhash Challa,et al.  Gating techniques for maneuvering target tracking in clutter , 2002 .

[10]  Yaakov Bar-Shalom,et al.  Design of an interacting multiple model algorithm for air traffic control tracking , 1993, IEEE Trans. Control. Syst. Technol..

[11]  Alexander Charlish,et al.  Information theoretic measures for MFR tracking control , 2010, 2010 IEEE Radar Conference.

[12]  Jia Xu,et al.  A two-stage gating algorithm for joint probability data association filter , 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

[13]  A. Giordano,et al.  Detection and estimation theory and its applications , 2006 .