DocumentCode
2148672
Title
Modulation classification of higher order MQAM signals using mixed-order moments and Fisher criterion
Author
An, Ning ; Li, Bingbing ; Huang, Min
Author_Institution
Nat. Key Lab. of ISN., Xidian Univ., Xi´´an, China
Volume
3
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
150
Lastpage
153
Abstract
Automatic modulation classification (AMC) is widely used in both civilian and military applications. This paper presents a new method for the automatic classification of higher order QAM signals via Rayleigh fading channel, using a modified Joint Power Estimation and Modulation Classification (JPEMC) algorithm and Fisher criterion. The proposed algorithm has low computational complexity. The advantages of our new algorithm are we don´t need the channel information as a prior and the estimation value of SNR. The proposed approach was evaluated in Monte Carlo simulations. The experimental results show that the percentage of identification can reach 98% when SNR is more than 5 dB.
Keywords
Monte Carlo methods; Rayleigh channels; quadrature amplitude modulation; signal classification; Fisher criterion; Monte Carlo simulations; Rayleigh fading channel; automatic modulation classification; higher order MQAM signals; higher order QAM signals; mixed-order moments; modified joint power estimation and modulation classification algorithm; AWGN; Additive white noise; Classification algorithms; Computational complexity; Fading; Frequency; Monte Carlo methods; Partial response channels; Rayleigh channels; Signal processing algorithms; AMC; JPEMC algorithm; MQAM signals; fisher criterion;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451214
Filename
5451214
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