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Feature Evaluation of Radar Emitter Signal Based on Logistic Regression Model

机译:基于Logistic回归模型的雷达辐射源信号特征评估。

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This paper presents a method which is feature evaluation of radar emitter signal based on logistic regression model by different features of radar emitter signal. Firstly, using the signal to noise ratio and the correct recognition rate of features establishes mathematical models. Secondly, it is posed the evaluation measures and evaluation criterions. Lastly, feature evaluation of radar emitter signal is completed. The simulation results show that the method is effective and feasible. It provides a new idea and approach for the feature evaluation of the radar emitter signal.
机译:提出了一种基于logistic回归模型,根据雷达辐射源信号的不同特征对雷达辐射源信号进行特征评估的方法。首先,利用信噪比和正确的特征识别率建立数学模型。其次,提出了评价措施和评价标准。最后,完成了雷达发射器信号的特征评估。仿真结果表明该方法是有效可行的。它为雷达发射器信号的特征评估提供了新的思路和方法。

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