多目標(biāo)跟蹤是多傳感器數(shù)據(jù)融合中的一個(gè)重要問題。基于模式識(shí)別理論,提出了一種通過對(duì)傳感器測(cè)量數(shù)據(jù)集類,以區(qū)分源于不同目標(biāo)的測(cè)量數(shù)據(jù)集合。對(duì)各個(gè)類對(duì)應(yīng)的目標(biāo)狀態(tài)估計(jì)進(jìn)行融合,從而實(shí)現(xiàn)了對(duì)多目標(biāo)的實(shí)時(shí)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(jì)算量。實(shí)際數(shù)據(jù)實(shí)驗(yàn)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