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
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;
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
DOI :
10.1109/ICCAE.2010.5451214
