Syntactic classification of radar measurements of commercial aircraft

O. Sands, F. Garber
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引用次数: 1

Abstract

A syntactic pattern recognition system for applications to radar signal identification is designed, and the performance of the resulting classification system is evaluated. Two different techniques for generating symbolic patterns from radar backscatter signals are considered. The classification utility of the symbolic patterns is assessed in terms of the performance of maximum-likelihood classification of the observed symbol strings. A syntax analysis algorithm that makes use of symbolic patterns derived from radar backscatter measurements is developed from the likelihood function classifier. Performance results obtained from simulated classification experiments for both maximum-likelihood and language-theoretic classifiers are presented.<>
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商用飞机雷达测量的句法分类
设计了一种适用于雷达信号识别的句法模式识别系统,并对分类系统的性能进行了评价。考虑了从雷达后向散射信号生成符号模式的两种不同技术。根据观察到的符号串的最大似然分类性能来评估符号模式的分类效用。在似然函数分类器的基础上,提出了一种利用雷达后向散射测量得到的符号模式的语法分析算法。给出了最大似然分类器和语言理论分类器的模拟分类实验结果。
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