Improvement of bearing-only tracking fusion strategy based on bionics with infrared sensor
暂无分享,去创建一个
[1] T. R. Kronhamn,et al. Bearings-only target motion analysis based on a multihypothesis Kalman filter and adaptive ownship motion control , 1998 .
[2] Y. Bar-Shalom,et al. Tracking in a cluttered environment with probabilistic data association , 1975, Autom..
[3] Y. Bar-Shalom,et al. A new relaxation algorithm and passive sensor data association , 1992 .
[4] Y. Kosuge,et al. Sensor-to-sensor target association in a network of passive sensors , 1997, Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066).
[5] M. Gavish,et al. Nth-order dynamics target observability from angle measurements , 1988 .
[6] J. A. Roecker. A class of near optimal JPDA algorithms , 1994 .
[7] J. A. Roecker,et al. Suboptimal joint probabilistic data association , 1993 .
[8] Mangzuo Shen. Range information extraction from tracking data using object kinematic parameters , 1995, Optics & Photonics.
[9] Hui Chen,et al. Research and Design of Filter in Ship-Based Passive Tracking System , 2009, 2009 International Workshop on Intelligent Systems and Applications.
[10] D P Casasent,et al. Fast JPDA multitarget tracking algorithm. , 1989, Applied optics.
[11] Y. Bar-Shalom,et al. m-best S-D assignment algorithm with application to multitarget tracking , 2001 .
[12] Hui Chen,et al. Data Association Approach for Two Dimensional Tracking Based on Bearing-Only Measurements in Clutter Environment , 2010, J. Softw..