基于决策树算法的AWGN信道调频识别分析

2018 4th International Conference on Wireless and Telematics (ICWT) Pub Date : 2018-07-01 DOI:10.1109/icwt.2018.8527784

M. R. Hidayat, M. A. Wibisono, Yana Yohana, S. Sambasri, Y. Zainal

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引用次数: 0

摘要

提出了一种用于调频模拟信号和数字信号识别的决策树算法。在AWGN信道中，利用最小的信号特性知识构造了数字信号和模拟信号之间的识别参数。此外，还绘制了每个已识别调制的绘图噪声。基于二值决策阈值的指示性能通过计算机仿真得到了高达5 dB的信噪比

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Analysis of Frequency Modulation Identification Based on Decision Tree Algorithm with AWGN Channel

A decision tree algorithm for identification of frequency modulation analog and digital signal are formulated. The paper constructed identification parameters with minimized knowledge of signal characterization between digital and analog signal with AWGN Channel. Moreover the plotting noise is being plotted for each identified modulation. Indication performance based on binary decision threshold has represented and resulted signal-to-noise as high as 5 dB with computer simulation

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2018 4th International Conference on Wireless and Telematics (ICWT)

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