Automatic Recognition of M-Nary Digital Modulation Signals

Article Preview

Abstract:

For the using of multi-modulation, the precondition of receiving and demodulating signal is to decide the type of the modulation. So automatic recognition of modulation signal has significant influences on the analysis of communication signals. In this paper, nine types of M-nary digital modulations are recognized by using four effective key features and utilizing the decision-theoretic approachThe simulation results shows that overall success rate is over 99% at SNR4dBThis algorithm is verified its good performance. It has simple structure, less calculation and good performance of real time. It can realize automatic modulation recognition.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1665-1669

Citation:

Online since:

July 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Ramakonar V, Habibi D, Bouzerdoum A. Automatic recognition of digitally modulated communication signals[J]. Signal Processing and Its Application, 1999, 2(1): 753-756.

Google Scholar

[2] He Xiaohua, Xie Jianjing, Li Shiju. Modulation Recognition for Analog and Digital Mixed Signal Based on Decision Theory [J](In Chinese). Computer Engineering. 2010, 36(15): 286-290.

Google Scholar

[3] Wang Tingting, Yuan Jinsha, Zhao Jianli. Modulation Identification of Digital and Analog Signals Based on Decision Theory[J] (In Chinese). Electronic Science and Techonology. 2011, 24(8): 96-98. 收稿日期:2006-8-30 作者简介:张鸣(1978-),女,陕西商洛人,讲师,主要从事移动通信方向的研究.

Google Scholar