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2013 | OriginalPaper | Chapter

13. A Novel Modulation Recognition Algorithms for Wireless Analog Signal

Authors : GuoHua Wang, Yu Shen

Published in: Informatics and Management Science IV

Publisher: Springer London

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Abstract

In this paper, a novel modulation recognition algorithm for wireless analog signal is proposed. Firstly, Hilbert transform is applied to construct the analytic signal and time–frequency analysis, and then the modulation recognition method based decision theory is introduced and whose drawbacks are indicated, finally, we propose the description of modulation recognition algorithm based on wavelet transform and BP neural network. Simulation results show that the proposed method can automatically recognize the wireless analog signal. Furthermore, the recognition rate of wireless analog signal can reach to 85 % when the Signal–Noise ratio (SNR) reduce to 0 dB.

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Literature
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Li X, Tian B, Jinkun A (2010) An ITD based automatic digital modulation recognition algorithm for broadband mobile multimedia communication system. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, vol 20(12) Shanghai, pp 1–5
2.
Ohara S, Kita M, Oka I et al (2009) Modulation classification based on amplitude and cosine moments. IEEE pacific rim conference on communications, Computers and signal processing. Victoria 205(99):158–162
3.
Tang XH, Li LY, Zhao L (2009) Identification of wavelet modulation based on gaussian detection and kurtosis of power spectrum. International conference on communications and mobile computing. River Edge 88(34):181–185
4.
Zhang J J, Li BB (2008) A new modulation identification scheme for OFDM in multipath rayleigh fading channel. International Symposium on Computer Science and Computational Technology, vol 34(12), Shanghai, pp 793–796
5.
Rilling G, Flandrin P (2009) One or two frequencies? The empirical mode decomposition answers. IEEE Trans Signal Proc 56(1):85–95MathSciNetCrossRef
Metadata
Title
A Novel Modulation Recognition Algorithms for Wireless Analog Signal
Authors
GuoHua Wang
Yu Shen
Copyright Year
2013
Publisher
Springer London
Book
Informatics and Management Science IV

Print ISBN: 978-1-4471-4792-3

Electronic ISBN: 978-1-4471-4793-0

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4471-4793-0_13

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