Soft Decision-Directed Square Contour Algorithm for Blind Equalization

Authors:
Liu Shunlan;Dai Mingzeng
Affiliations:
School of Communication Engineering, Hangzhou Dianzi University, 310018, Hangzhou, Zhejiang, China and National Laboratory of Information Control Technology for Communication System, 314033, Jiaxi ...;School of Communication Engineering, Hangzhou Dianzi University, 310018, Hangzhou, Zhejiang, China
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Year:
2007

Citing 2
Cited 0

Square contour algorithm for blind equalization of QAM signals

Signal Processing - Special section: Distributed source coding
The multimodulus blind equalization and its generalized algorithms

IEEE Journal on Selected Areas in Communications

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Abstract

The recently introduced square contour algorithm (SCA) combines the benefits of the generalized Sato algorithm (GSA) and the constant modulus algorithm (CMA). It implicitly updates phase and is less likely to converge to incorrect solutions. But the SCA has relatively large residual error after the algorithm reaches its steady state for high-order constellations. A new blind equalization algorithm is proposed based on concurrent square contour algorithm (SCA) and soft decision-directed (SDD) adaptation. Like the SCA, the proposed concurrent SCA and SDD algorithm includes phase recovery and offers good convergence characteristics. Simulation results demonstrate that the proposed SCA+SDD algorithm offers practical alternatives to blind equalization of high-order QAM channels and provides significant equalization improvement over the CMA, GSA and SCA.