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

页码：878 / 882

页数：5