發(fā)布時間：2018-06-26 03:52

  本文選題：粒子濾波 + 多目標��； 參考：《信號處理》2017年09期

【摘要】：針對現(xiàn)有粒子濾波微弱多目標檢測前跟蹤(TBD)算法要求目標數(shù)目或者目標最大數(shù)目已知,且無法對鄰近微弱目標有效檢測的不足,提出了一種基于粒子濾波和目標相繼消除(PF-STC)的多目標TBD算法。該算法通過將多目標狀態(tài)的聯(lián)合搜索過程簡化為多個獨立的單目標檢測過程,實現(xiàn)數(shù)目未知的多目標跟蹤和檢測。與現(xiàn)有粒子濾波多目標TBD算法相比,新算法克服了現(xiàn)有方法在較弱目標接近較強目標時出現(xiàn)的檢測困難,并降低了算法復雜度,能對數(shù)目未知的微弱多目標進行有效檢測。
[Abstract]:The existing particle filter pre-tracking (TBD) algorithm for weak multi-target detection requires that the number of targets or the maximum number of targets are known and can not be effectively detected for adjacent weak targets. A multi-target TBD algorithm based on particle filter and target successive cancellation (PF-STC) is proposed. The algorithm simplifies the joint search process of multi-target states into several independent single-target detection processes to achieve the unknown number of multi-target tracking and detection. Compared with the existing particle filter multi-target TBD algorithm, the new algorithm overcomes the difficulty of detection when the weak target is close to the stronger target, reduces the complexity of the algorithm, and can effectively detect the unknown number of weak multi-targets.
【作者單位】： 中國人民解放軍92493部隊98分隊;海軍航空工程學院信息融合研究所;
【基金】：國家自然科學基金(61179018,61671462)
【分類號】：TN713;TP212
，

本文編號：2068958