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16 June 1997 Multiple sensor fusion for long-range surveillance: design and performance issues
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Abstract
This paper provides a description and detailed review of a multiple hypothesis tracking system, which handles data from two radars, and a number of other sources. An efficient method for processing detections from two (time-offset) radars, and integrating them in the multiple hypothesis framework is described. The implications of such a methodology on the tracking filter also are discussed. The paper then explains the algorithm employed for fusion of automatic dependent surveillance reports into the system, and concludes with a demonstration of some sample results.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Graeme Jones "Multiple sensor fusion for long-range surveillance: design and performance issues", Proc. SPIE 3067, Sensor Fusion: Architectures, Algorithms, and Applications, (16 June 1997); https://doi.org/10.1117/12.276125
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