电子学报Issue(8)：1603-1608,6.DOI:10.3969/j.issn.0372-2112.2013.08.024
一种具有信息保持能力的GM-PHD滤波器
A Gaussian Mixture PHD Filter with the Capability of Information Hold
摘要
Abstract
The probability hypothesis density (PHD)filter has been proved to be an efficient method for the multi-target tracking in the presence of false alarms ,missed detections and an unknown number of targets .However ,in the original PHD filter , a large amount of information of the existing targets will be immediately discarded by the PHD filter once they cannot be detected by a sensor at a given time .To resolve the information loss problem of missed true targets ,we modify the predication and update e-quations of the PHD filter and propose a modified PHD filter with the capability of information hold .A Gaussian mixture implemen-tation of the modified PHD filter for linear Gaussian models is also presented .The simulation results demonstrate that the proposed filter can achieve better tracking performance of multiple targets than the original PHD filter in the presence of missed detections .关键词
多目标跟踪/概率假设密度滤波器/高斯混合实现/线性高斯模型Key words
multi-target tracking/probability hypothesis density filter/Gaussian mixture implementation/linear Gaussian models分类
信息技术与安全科学引用本文复制引用
刘宗香,谢维信,王品,余友..一种具有信息保持能力的GM-PHD滤波器[J].电子学报,2013,(8):1603-1608,6.基金项目
国家自然科学基金（No ．61271107）；国家科技支撑计划重大项目（No ．2011BAH24B12）；广东省自然科学基金（No ．S2012010009417）；高等学校博士学科点专项科研基金 （）
