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Studies on Single Observer Passive Location Tracking Algorithm Based on LMS-PF

  • Jing-bo He
  • Sheng-liang Hu
  • Zhong Liu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 107)

Abstract

As the emitter’s velocity is given, it could be located by single observer. According to the tracking convergence fast specialty of the linear minimum mean-square error filter and the tracking accuracy specialty of the particle filter, a new passive location algorithm based on a LMS-PF is presented. It is compared with linear minimum mean-square error filtering and extended kalman filtering in passive location. It is proved that the location error by the algorithm is less than by other algorithms.

Keywords

Particle filtering Linear minimum mean-square error filtering Extended Kalman filtering Passive location 

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Electronics Engineering CollegeNaval University of EngineeringWuhanChina

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