Title: <title>MATSurv: multisensor air traffic surveillance system</title>
Abstract: This paper deals with the design and implementation of MATSurv 1--an experimental Multisensor Air Traffic Surveillance system. The proposed system consists of a Kalman filter based state estimator used in conjunction with a 2D sliding window assignment algorithm. Real data from two FAA radars is used to evaluate the performance of this algorithm. The results indicate that the proposed algorithm provides a superior classification of the measurements into tracks (i.e., the most likely aircraft trajectories) when compared to the aircraft trajectories obtained using the measurement IDs (squawk or IFF code).
Publication Year: 1995
Publication Date: 1995-09-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 11
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