一种新的红外弱小目标检测前跟踪算法

doi:10.3969/j.issn.1001-2400.2011.03.017

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

一种新的红外弱小目标检测前跟踪算法

武斌；李鹏

(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:
国家863计划资助项目(2010AAJ207);中央高校基本科研业务费专项资金资助项目(K50510020027)

Novel track-before-detect algorithm for small infrared target

WU Bin；LI Peng

(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

摘要/Abstract

摘要：

针对低信噪比复杂环境下红外弱小目标检测问题，提出了一种基于拟蒙特卡罗抽样的检测前跟踪算法．采用新的基于拟蒙特卡罗抽样的高斯粒子滤波算法(QMC-GPF)估计目标运动状态和红外小目标幅度状态，同时利用该滤波算法中迭代更新的协方差矩阵的收敛特性构建判断逻辑，实现目标“软判决”检测．对仿真红外图像序列的实验表明，该算法可快速有效地跟踪和检测信噪比不小于1dB的弱小目标．

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

Abstract:

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

中图分类号:

TP391

武斌；李鹏. 一种新的红外弱小目标检测前跟踪算法[J]. J4, 2011, 38(3): 107-113.

WU Bin；LI Peng. Novel track-before-detect algorithm for small infrared target[J]. J4, 2011, 38(3): 107-113.

参考文献

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一种新的红外弱小目标检测前跟踪算法

Novel track-before-detect algorithm for small infrared target

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