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Identification of cognitive radio modulation

机译:识别认知无线电调制

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摘要

For cognitive radio intelligent communication system, communication signals' modulation recognition has important significance. The seven character parameter reflecting the differences of the modulations were extracted. The neural network algorithm combining with decision-theoretic algorithm classifier is established. Simulation result shows that this classifier has better performance for modulation recognition.
机译:对于认知无线电智能通信系统,通信信号的调制识别具有重要意义。提取反映调制差异的七个字符参数。建立了结合决策理论算法分类器的神经网络算法。仿真结果表明,该分类器具有更好的调制识别性能。

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