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Performance Analysis of Data Association Applied Frequency Weighting in 3-Passive Linear Array Sonars  

구본화 (고려대학교 영상정보처리학과)
윤제한 (고려대학교 전자컴퓨터공학과)
홍우영 (해군사관학교)
고한석 (고려대학교 전자컴퓨터공학과)
Abstract
This paper deals with data association using 3 sets of passive linear array sonars (PUS) geometrically positioned in a Y-shaped configuration, but fixed in an underwater environment. The data association problem is directly transformed into a 3-D assignment problem, which is known to be NP-hard. For generic passive sensors, it can be sotted using conventional algorithms, while it in PLAS becomes a formidable task due to the presence of bearing ambiguity. In particular, we proposed data association method robust to bearing measurements errors by incorporating frequency information and analyze a region of ghost problem by geometrical relation PUS and target. We analyzed the effectiveness of the proposed method by representative simulation in multi-target.
Keywords
Data association; 3D-assignment; Bearing ambiguity; Ghost problem; Passive linear array sonars;
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