A New Track-Before-Detect Algorithm for Small Dim Infrared Target

摘要：

A new track-before-detect filtering algorithm is proposed for small dim infrared targets with low signal-to-noise ratio under complex backgrounds. A new particle filter called Quasi-Monte Carlo sampling based Gaussian particle filter(QMC-GPF) is developed to estimate on-line the standard kinematic parameters of the target,including position and velocity,as well as the amplitude of the target. The convergence characteristic of the covariance matrix of the posterior densities propagated in the QMC-GPF is used to determine whether it is the true 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 dim target of sNR≧ 1dB.

关键词： track-before-detect quasi-Monte Carlo IR image sequence

作者: Yin-Shui SHI Hong-Bing JI Bin WU

作者单位: School of Electronic Engineering,Xidian University,Xian 710071,P.R.China Air Defense Force Command School of Electronic Engineering,Xidian University,Xian 710071,P.R.China

会议类型: 国际会议

会议名称: 2009 International Conference on Information,Electronic and Computer Science(2009 国际信息、电子与计算机工程学术会议)

会议地点: 青岛

会议语种:英文

页码: 387-390

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）