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Method of recognition the radar emitting sources based on the naive Bayesian classifier

机译:基于Naive Bayesian分类器的雷达发射源的识别方法

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摘要

The method of recognition the radar emitting sources based on the naive Bayesian classifier is considered in the article. A feature of the method is the comparison of the received radar parameters of the object with the parameters that are contained in the a priori database. The probability of object recognition is revealed based on the results of the comparison. The article shows an algorithm for applying the method in the case of the normal distribution of each radar parameters. The applied conditions of the method are determined depended on the number of non-zero features and the size of the database. Simulation modeling was performed, which showed the possibility of using the recognition algorithm in software and hardware radar systems.
机译:在文章中考虑了识别基于天真贝叶斯分类器的雷达发射源的方法。 该方法的特征是将对象的接收到的雷达参数与先验数据库中包含的参数进行比较。 基于比较的结果,揭示了对象识别的概率。 本文示出了一种用于在每个雷达参数的正常分布的情况下应用该方法的算法。 确定该方法的应用条件依赖于非零特征的数量和数据库的大小。 进行仿真建模,这表明了在软件和硬件雷达系统中使用识别算法的可能性。

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