• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

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


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.


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Cite this article

[IEEE Style]
W. Rao, C. Lu, Y. Liu, J. Zhang, "Low-Complexity Hybrid Adaptive Blind Equalization Algorithm for High-Order QAM Signals," KSII Transactions on Internet and Information Systems, vol. 10, no. 8, pp. 3772-3790, 2016. DOI: 10.3837/tiis.2016.08.019.

[ACM Style]
Wei Rao, Changlong Lu, Yuanyuan Liu, and Jianqiu Zhang. 2016. Low-Complexity Hybrid Adaptive Blind Equalization Algorithm for High-Order QAM Signals. KSII Transactions on Internet and Information Systems, 10, 8, (2016), 3772-3790. DOI: 10.3837/tiis.2016.08.019.

[BibTeX Style]
@article{tiis:21190, title="Low-Complexity Hybrid Adaptive Blind Equalization Algorithm for High-Order QAM Signals", author="Wei Rao and Changlong Lu and Yuanyuan Liu and Jianqiu Zhang and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2016.08.019}, volume={10}, number={8}, year="2016", month={August}, pages={3772-3790}}