MATSurv: multisensor air traffic surveillance system

Murali Yeddanapudi; Yaakov Bar-Shalom; Krishna R. Pattipati; Richard R. Gassner

doi:10.1117/12.217710

1 September 1995 MATSurv: multisensor air traffic surveillance system

Murali Yeddanapudi, Yaakov Bar-Shalom, Krishna R. Pattipati, Richard R. Gassner

Proceedings Volume 2561, Signal and Data Processing of Small Targets 1995; (1995) https://doi.org/10.1117/12.217710
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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).

Citation Download Citation

Murali Yeddanapudi, Yaakov Bar-Shalom, Krishna R. Pattipati, and Richard R. Gassner "MATSurv: multisensor air traffic surveillance system", Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); https://doi.org/10.1117/12.217710

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