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Proceedings Paper

MATSurv: multisensor air traffic surveillance system
Author(s): Murali Yeddanapudi; Yaakov Bar-Shalom; Krishna R. Pattipati; Richard R. Gassner
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Paper 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).

Paper Details

Date Published: 1 September 1995
PDF: 12 pages
Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); doi: 10.1117/12.217710
Show Author Affiliations
Murali Yeddanapudi, Univ. of Connecticut (United States)
Yaakov Bar-Shalom, Univ. of Connecticut (United States)
Krishna R. Pattipati, Univ. of Connecticut (United States)
Richard R. Gassner, Rome Lab. (United States)


Published in SPIE Proceedings Vol. 2561:
Signal and Data Processing of Small Targets 1995
Oliver E. Drummond, Editor(s)

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