到达时间(time of arrival,TOA)量测数据关联是多发单收非协同探测系统中的关键技术之一。针对传统算法中由于需要排列组合导致运算量大的问题,提出一种基于探测区域搜索的TOA量测数据关联算法。首先通过方位搜索,得到多条TOA曲线的离...到达时间(time of arrival,TOA)量测数据关联是多发单收非协同探测系统中的关键技术之一。针对传统算法中由于需要排列组合导致运算量大的问题,提出一种基于探测区域搜索的TOA量测数据关联算法。首先通过方位搜索,得到多条TOA曲线的离散采样点,然后通过对离散曲线进行扩散叠加,可将量测数据关联问题转化为二维平面的峰值检测问题。仿真实验表明,所提算法在几乎不影响关联正确率的前提下,能够有效提高运算效率,具有良好的工程应用前景。展开更多
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
文摘到达时间(time of arrival,TOA)量测数据关联是多发单收非协同探测系统中的关键技术之一。针对传统算法中由于需要排列组合导致运算量大的问题,提出一种基于探测区域搜索的TOA量测数据关联算法。首先通过方位搜索,得到多条TOA曲线的离散采样点,然后通过对离散曲线进行扩散叠加,可将量测数据关联问题转化为二维平面的峰值检测问题。仿真实验表明,所提算法在几乎不影响关联正确率的前提下,能够有效提高运算效率,具有良好的工程应用前景。
基金Project(61101186)supported by the National Natural Science Foundation of China
文摘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.
