A testbed for automatic modulation recognition using artificial neural networks

被引：0
|
作者：
Kremer, SC
Shiels, J
机构：
来源：
1997 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, CONFERENCE PROCEEDINGS, VOLS I AND II: ENGINEERING INNOVATION: VOYAGE OF DISCOVERY | 1997年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Automatic modulation recognition, the identification of the modulation scheme used to encode an unknown radio transmission, is an important component of electronic warfare communications systems. Existing technology is able to classify reliably (success rate greater than or equal to 90%) only at signal-to-noise ratios (SNRs) above 10dB. In this paper, an artificial neural network is developed to classify signals with SNRs as low as 5dB. Preprocessing steps and network performance on an initial test set are described.
引用
收藏
页码：67 / 70
页数：4
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