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http://dx.doi.org/10.3837/tiis.2016.08.019

Low-Complexity Hybrid Adaptive Blind Equalization Algorithm for High-Order QAM Signals  

Rao, Wei (Department of Electronic Engineering, Fudan University)
Lu, Changlong (Department of electronic information engineering, Jingdezhen Ceramic Institute)
Liu, Yuanyuan (Faculty of information engineering, China University of Geoscience)
Zhang, Jianqiu (Department of Electronic Engineering, Fudan University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.8, 2016 , pp. 3772-3790 More about this Journal
Abstract
It is well known that the constant modulus algorithm (CMA) presents a large steady-state mean-square error (MSE) for high-order quadrature amplitude modulation (QAM) signals. In this paper, we propose a low-complexity hybrid adaptive blind equalization algorithm, which augments the CMA error function with a novel constellation matched error (CME) term. The most attractive advantage of the proposed algorithm is that it is computationally simpler than concurrent CMA and soft decision-directed (SDD) scheme (CMA+SDD), and modified CMA (MCMA), while the approximation of steady-state MSE of the proposed algorithm is same with CMA+SDD, and lower than MCMA. Extensive simulations demonstrate the performance of the proposed algorithm.
Keywords
Blind Equalization; Constant Modulus Algorithm; Inter-Symbol Interference; Hybrid Algorithm; Low-Complexity;
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