多目標(biāo)跟蹤是多傳感器數(shù)據(jù)融合中的一個重要問題。基于模式識別理論,提出了一種通過對傳感器測量數(shù)據(jù)集類,以區(qū)分源于不同目標(biāo)的測量數(shù)據(jù)集合。對各個類對應(yīng)的目標(biāo)狀態(tài)估計進(jìn)行融合,從而實現(xiàn)了對多目標(biāo)的實時跟蹤。這種算法聚數(shù)據(jù)關(guān)聯(lián)、數(shù)據(jù)融合和目標(biāo)跟蹤于一體,大大降低了多目標(biāo)跟蹤問題的復(fù)雜性和計算量。實際數(shù)據(jù)實驗充分表明了本算法的有效性。
關(guān)鍵詞: 目標(biāo)跟蹤; 數(shù)據(jù)聚類; 數(shù)據(jù)融合
Abstract : Multi2target tracking is an important problem in the field of multisensor data fusion. In this paper clustering method is applied to measurements of multisensor ,then fuse the measurements in the same cluster. A multi2target tracking algorithm has been set up by using fusion data of measurements. Practice data show that the algorithm is very effective.
Key words : target tracking ; data clustering ; data fusion