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Particle Filter Track-Before-Detect Implementation on GPU

  • Xu Tang
  • Jinzhou Su
  • Fangbin Zhao
  • Jian Zhou
  • Ping Wei
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 202)

Abstract

Track-before-detect (TBD) based on the particle filter (PF) algorithm is known for its outstanding performance in detecting and tracking of weak targets. However, large amount of calculation leads to difficulty in real-time applications. To solve this problem, effective implementation of the PF-based TBD on graphics processing units (GPU) is proposed in this chapter. By recasting the particles propagation process and weights calculating process on the parallel structure of GPU, the running time of this algorithm can be greatly reduced. Simulation results in the infrared scenario are demonstrated to compare the implementation on two types of the graphic card with the CPU-only implementation.

Keywords

Track-before-detect Particle filter GPU 

Notes

Acknowledgments

The work is supported by the Fundamental Research Funds for the Central Universities of China (ZYGX2011J012).

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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Xu Tang
    • 1
  • Jinzhou Su
    • 1
  • Fangbin Zhao
    • 1
  • Jian Zhou
    • 1
  • Ping Wei
    • 1
  1. 1.Department of EEUniversity of Electronic Science and Technology of ChinaChengduPeople’s Republic of China

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