（1.國防科學技術大學ATR重點實驗室，長沙 410073；2.駐廣元地區軍代室，廣元 628017）
摘要：目標編群是態勢估計的基礎。文中提出了一種面向態勢估計的多拍編群算法。首先，對目標編群問題進行了描述；其次，給出了一種緊湊群提取算法實現初始編群；最后，根據緊湊群之間的關系特征以及貝葉斯定理計算它們的合群概率，并按照定義的合群判決準則進行群的合并，得到最終的編群結果。仿真實驗證實了該算法的有效性。
關鍵詞：態勢估計； 目標編群； 貝葉斯定理； 合群判決
An Algorithm For Multi-frame Target Clustering
In Situation Assessment
Zhao Bang-xu1,2， Yang Hong-wen1
(1. ATR Key Lab., National University of Defense Technology, Changsha 410073, China; 2.Military Representation Department In Guangyuan Area, Guangyuan 628017, China)
Abstract: Target clustering is an important component in situation assessment. This paper presents an algorithm for multi-frame target clustering in situation assessment. Firstly, the problem of target clustering is described. Secondly, an extracting algorithm of compact sets is used to implement initial clustering. Finally, the clustering probability between compact sets is calculated based on their relation features and bayes theorem. And the final clustering result is obtained through combining the initial group based on the user-defined rule. The simulation has proved the effectiveness of the algorithm.
Key words: situation assessment; target clustering; bayes theorem ; combining determinant
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作者簡介：趙幫緒(1985-)，男，黑龍江雙城人，碩士生，主要研究方向為陣群目標跟蹤、數據融合。
