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GM-PHD滤波算法在IRST中的应用
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作者 巩建坡 陈闽 +1 位作者 周德召 程小亮 《电光与控制》 北大核心 2016年第2期65-69,共5页
主要对基于有限随机集多目标跟踪算法进行研究,扩展了高斯混合概率假设密度(GM-PHD)滤波算法,提出适用于红外搜索跟踪(IRST)的非线性纯角度跟踪的GM-PHD算法。该算法对状态集和量测集进行贝叶斯估计,不需要数据关联,克服了传统的基于数... 主要对基于有限随机集多目标跟踪算法进行研究,扩展了高斯混合概率假设密度(GM-PHD)滤波算法,提出适用于红外搜索跟踪(IRST)的非线性纯角度跟踪的GM-PHD算法。该算法对状态集和量测集进行贝叶斯估计,不需要数据关联,克服了传统的基于数据关联的多目标跟踪算法在强杂波、目标数目未知且不断变化的情况下数据关联困难的缺点,提高了IRST多目标跟踪性能的同时也能对目标个数进行实时估计。 展开更多
关键词 多目标跟踪 红外搜索跟踪 有限随机集 最优滤波 高斯混合概率假设密度
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Passive target tracking with intermittent measurement based on random finite set 被引量:4
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作者 罗小波 范红旗 +1 位作者 宋志勇 付强 《Journal of Central South University》 SCIE EI CAS 2014年第6期2282-2291,共10页
In the tracking problem for the maritime radiation source by a passive sensor,there are three main difficulties,i.e.,the poor observability of the radiation source,the detection uncertainty(false and missed detections... In the tracking problem for the maritime radiation source by a passive sensor,there are three main difficulties,i.e.,the poor observability of the radiation source,the detection uncertainty(false and missed detections)and the uncertainty of the target appearing/disappearing in the field of view.These difficulties can make the establishment or maintenance of the radiation source target track invalid.By incorporating the elevation information of the passive sensor into the automatic bearings-only tracking(BOT)and consolidating these uncertainties under the framework of random finite set(RFS),a novel approach for tracking maritime radiation source target with intermittent measurement was proposed.Under the RFS framework,the target state was represented as a set that can take on either an empty set or a singleton; meanwhile,the measurement uncertainty was modeled as a Bernoulli random finite set.Moreover,the elevation information of the sensor platform was introduced to ensure observability of passive measurements and obtain the unique target localization.Simulation experiments verify the validity of the proposed approach for tracking maritime radiation source and demonstrate the superiority of the proposed approach in comparison with the traditional integrated probabilistic data association(IPDA)method.The tracking performance under different conditions,particularly involving different existence probabilities and different appearance durations of the target,indicates that the method to solve our problem is robust and effective. 展开更多
关键词 passive target tracking maritime target joint detection and tracking intermittent measurement random finite set poor observability
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