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Multi-Sensor Multi-Target Detection Based on Joint Probability Density

  • Can Xu
  • Zhi Li
  • Lei Shi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 215)

Abstract

Joint probability density algorithm (JPDA) is extended to multi-sensor multi-target detection based on ‘Clean’ method. Key content and characteristic of JPDA in false intersection points eliminating are introduced. An iterative method for multi-sensor multi-target detection is put forward. Based on target that has been detected by peak searching, an inverse probability density function is proposed which is able to eliminate both the detected target and false intersection points. A new joint probability density matrix is constructed and all the targets can be detected through iterative process. The feasibility and validity are verified through simulation.

Keywords

Multi-sensor multi-target detection Inverse joint probability density Clean method 

References

  1. 1.
    Bar-Shalom Y, Li XR (1995) Multitarget-multisensor tracking: principles and techniques. YBS Publishing, StorrsGoogle Scholar
  2. 2.
    Gavish M, Weiss AJ (1992) Performance analysis of bearing-only target location algorithms. IEEE Trans Aerosp Electron Syst 28(3):817–827CrossRefGoogle Scholar
  3. 3.
    Zeng Z-Y, Chen H, Cai X (2007) New method of multi-stations positioning based on the maximum of joint probability density (in Chinese). Electron Inform Counter Technol 22(5):11–14Google Scholar
  4. 4.
    Zhao Z, Wang X (2009) A multi-sensor localization algorithm based on joint probability density (in Chinese). Chine J Sens Actuators 10(22):1146–1150Google Scholar
  5. 5.
    Li B-B, Wang ZY, Wen X (2008) Fast data association algorithm for passive sensors (in Chinese). Chin J Sens Actuators 21(7):1160–1163Google Scholar
  6. 6.
    Tan K, Chen H, Cai X-X (2009) Research into the algorithm of false points elimination in three-station cross location (in Chinese). Shipboard Electron Countermeas 32(4):80–84Google Scholar
  7. 7.
    Bishop AN, Pathirana PN (2007) Localization of emitters via the intersection of bearing lines: aghost elimination approach. IEEE Trans Veh Technol 56(5):l–5Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.The Academy of EquipmentBeijingChina

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