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http://dx.doi.org/10.12673/jant.2011.15.4.487

A Multi Radar Fusion Algorithm for Reliable Maneuvering Target Tracking  

Cho, Tae-Hwan (Electronic Eng., Inha University)
Lee, Chang-Ho (Electronic Eng., Inha University)
Kim, Jin-Wook (Electronic Eng., Inha University)
Won, In-Su (Electronic Eng., Inha University)
Jo, Yun-Hyun (Electronic Eng., Inha University)
Park, Hyo-Dal (Electronic Eng., Inha University)
Choi, Sang-Bang (Electronic Eng., Inha University)
Publication Information
Journal of Advanced Navigation Technology / v.15, no.4, 2011 , pp. 487-494 More about this Journal
Abstract
Data Fusion algorithm is essential in Target Detection using radar, and it has more reliability. In this paper, Multi Radar Fusion algorithm using IMM(Interacting Multiple Model) filter is suggested. This well-known IMM filter has better performance than Kalman filter has. In this simulation, Distributed Data Fusion process was applied, and three sub-filters and one main filter were employed. In addition, this simulation was evaluated by virtual radar data which include constant velocity, constant accelerate, turn rate. The result of an evaluation shows better performance in the maneuvering section of aircraft.
Keywords
Multi radar tracking; IMM; Kalman filter; data fusion; Distributed fusion;
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