An airport surveillance function operating on surface movement radar (SMR) images is proposed and evaluated. The main contributions presented are the statistical error models of the target centroid and attributes extracted from radar images, developed and applied to the design of its main data processing blocks. Besides a multihypothesis image-to-tracks assignment method, a tracking filter using the extracted orientation and a classification scheme based on target attributes is detailed. The error models confidence and processing methods performance are demonstrated through simulation in representative scenarios.
Surface movement radar data processing methods for airport surveillance
IEEE Transactions on Aerospace and Electronic Systems ; 37 , 2 ; 563-585
2001-04-01
833828 byte
Article (Journal)
Electronic Resource
English
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