J4 ›› 2011, Vol. 38 ›› Issue (3): 107-113.doi: 10.3969/j.issn.1001-2400.2011.03.017

• 研究论文 • 上一篇    下一篇



  1. (西安电子科技大学 电子工程学院,陕西 西安  710071)
  • 收稿日期:2010-12-22 出版日期:2011-06-20 发布日期:2011-07-14
  • 通讯作者: 武斌
  • 作者简介:武斌(1980-),男,讲师,博士,E-mail: bingo_326@163.com.
  • 基金资助:


Novel track-before-detect algorithm for small infrared target

WU Bin;LI Peng   

  1. (School of Electronic Engineering, Xidian Univ., Xi'an   710071, China)
  • Received:2010-12-22 Online:2011-06-20 Published:2011-07-14
  • Contact: WU Bin



关键词: 检测前跟踪, 拟蒙特卡罗, 高斯粒子滤波, 红外图像序列


A novel track-before-detect filtering algorithm is proposed for the dim infrared target with a low signal-to-noise ratio in complex backgrounds. A new particle filter called the Quasi-Monte Carlo sampling based Gaussian particle filter(QMC-GPF) is developed to estimate on-line the standard kinematic parameters of the target, including the position and velocity, as well as the amplitude of the target. The convergence characteristic of the covariance of the posterior densities propagated in the QMC-GPF is used to construct the logical rules for soft-decision detection of a possible target. The algorithm is tested with a synthetic target in IR image sequences, and it is proved that the algorithm is capable of performing sufficiently well for the dim target of SNR≥1dB.

Key words: track-before-detect, quasi-Monte Carlo, Gaussian particle filter, IR image sequence


  • TP391