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Pattern representations and syntactic classification of radar measurements of commercial aircraft

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2 Author(s)
Sands, O.S. ; Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA ; Garber, F.D.

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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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:12 ,  Issue: 2 )