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Pattern Representations and Syntactic Classification of Radar Measurements of Commercial Aircraft
February 1990 (vol. 12 no. 2)
pp. 204-211

A syntactic pattern recognition system is evaluated for applications to radar signal identification. Three different level-crossing-based pattern representation algorithms are considered. The utility of the resulting symbolic pattern representations is assessed by evaluating the performance of a maximum-likelihood classifier when the observed symbol strings are used as inputs to the decision algorithm. A syntax analysis algorithm is derived from the likelihood function classifier. Performance results of simulated classification experiments for both maximum-likelihood and language-theoretic classifiers are presented.

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Index Terms:
computerised pattern recognition; radar measurements; commercial aircraft; syntactic pattern recognition; radar signal identification; symbolic pattern representations; maximum-likelihood classifier; symbol strings; decision algorithm; language-theoretic classifiers; artificial intelligence; computerised pattern recognition; radar measurement
O.S. Sands, F.D. Garber, "Pattern Representations and Syntactic Classification of Radar Measurements of Commercial Aircraft," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 2, pp. 204-211, Feb. 1990, doi:10.1109/34.44406
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