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PRI METHOD FOR RECOGNIZING PRI MODULATION TYPE USING NEURAL NETWORK FUSE WITH GENETIC ALGORITHM AND APPARATUS THEREOF

机译:遗传算法的神经网络融合识别PRI调制类型的PRI方法及其装置

摘要

The present invention relates to a method for recognizing a PRI modulation type and a device thereof, capable of being easily automated due to a simplified algorithm, lowering time complexity, and improving a modulation type recognition ratio. The method for recognizing a PRI modulation type according to the present invention comprises: a step of training a neural network using a heredity algorithm; a step of generating a DDTOA code using the time of arrival (TOA) of an input pulse; a step of generating a DDTOA matrix from the DDTOA code; a step of extracting seven PRI modulation type elements from the DDTOA matrix; a step of recognizing the PRI modulation type by inputting the seven elements to the neural network and outputting an output layer result of the neural network; a step of generating a result code from the output layer result of the neural network; and a step of recognizing the PRI modulation type by comparing the result code with a predetermined PRI modulation code.
机译:本发明涉及一种识别PRI调制类型的方法及其设备,该方法由于简化的算法而易于自动化,降低了时间复杂度,并且提高了调制类型的识别率。根据本发明的用于识别PRI调制类型的方法包括:使用遗传算法训练神经网络的步骤;以及使用输入脉冲的到达时间(TOA)产生DDTOA代码的步骤;根据DDTOA码生成DDTOA矩阵的步骤;从DTDOA矩阵中提取七个PRI调制类型元素的步骤;通过将七个元素输入到神经网络并输出神经网络的输出层结果来识别PRI调制类型的步骤;从神经网络的输出层结果生成结果代码的步骤;通过将结果码与预定的PRI调制码进行比较来识别PRI调制类型的步骤。

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