Modulation classification for burst-mode qam signals in multipath fading channels

Authors:
H. R. Nikoofar;A. R. Sharafat
Affiliations:
Dept. of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, lran;Dept. of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, lran
Venue:
Iranian Journal of Science and Technology, Transaction B: Engineering
Year:
2010

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Abstract

We present a new and efficient method for identifying the modulation type of a butrsty QAM signal in the presence of additive white Gaussian noise (AWGN) in umknown fading channels and with umknown carrier phase. Outr approach is based on an iterative combination of blind equalization and soft-clustering techniques, utilizes the constant modulus algorithm (CMA) for an initial reconstruction of the received signal constellation, and employs a nonpmametric soft clustering method to identify a small set of possible modulations based on the partition coefficient (PC) criterion. We then use an iterative approach in utilizing the decision adjusted modulus algorithm (DAMA) to refine om choices until we reach two hypotheses. Besides, we propose a parallel implementation of the proposed method, and provide an asymptotic analysis as well as simulation results to demonstrate the validity and usefidness of the proposed method. Simudatinn results indicate that outr proposed method achieves a significant gain as compared to the cmmdant-based approach for butrst mode transmissions in lading channels.