An Effective Algorithm For Automatic Modulation Recognition

被引：0

作者：

Ghasemi, Saeed ^{[1
]}

Gangal, Ali ^{[1
]}

机构：

[1] Karadeniz Tech Univ, Elekt Elekt Muhendisligi Bolumu, Trabzon, Turkey

来源：

2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2014年

关键词：

automatic digital modulation recognition; continuous wavelet transform; higher order cumulants; multi-layer neural networks;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Based on the previous studies, this article proposes an effective modulation recognition algorithm which is a combination of Higher Order Cumulants (HOC) and Continues Wavelet Transform (CWT). In the Additive White Gaussian Noise (AWGN) the identification of QAM16, QAM32, QAM64, BPSK, QPSK and PSK8 types of modulation were almost successful. In the case of the signal-to-noise ratio (SNR) was higher than -7dB, the identification of QAM16, QAM32 and QAM64 modulation types were 100% successful. While SNR was higher than -2dB, BPSK, QPSK and PSK8 modulation types were identified with success percentage of 100 %, 98% and 99% respectively.

引用

页码：903 / 906

页数：4

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