The Research on Signal Modulation Mode Recognition Based on BP Neural Network

被引：0
|
作者：
Jiang, Yu [1 ]
Wang, Yuwen [1 ]
Zhang, Hong [1 ]
机构：
[1] UESTC, Chengdu 611731, Si Chuan Provin, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND ENVIRONMENT PROTECTION (ICSEEP 2015) | 2015年
关键词：
ALGORITHM;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Based on CCSDS, ESA and NASA's advice, this paper chose seven kinds of modulation method which is commonly used in TT&C, namely, 2FSK, 4FSK, BPSK, QPSK, MSK, PM, and CW. First extracted characteristic parameters of signals, then combined with BP neural network for signal modulation mode recognition. The simulation results show that BPSK, PM, and CW in signal-to-noise ratio between 5 dB to 15 dB's recognition accuracy is 100%.
引用
收藏
页码：878 / 882
页数：5
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