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).
MATSurv: multisensor air traffic surveillance system
Signal and Data Processing of Small Targets 1995 ; 1995 ; San Diego,CA,United States
Proc. SPIE ; 2561
1995-09-01
Conference paper
Electronic Resource
English
Integrating sensory information in a multisensor-system for battlefield surveillance
Tema Archive | 1979
|SAMuS : service-oriented architecture for multisensor surveillance in smart homes
BASE | 2014
|