An Improved Blind Multiuser Detector Algorithm Based on Subspace Tracking

Abstract:

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Adaptive OPAST algorithm can ensure the orthogonality of weighted matrix in every iterations, and accelerate the convergence rate, improve the performance of error stably. However, it also enhance the complexity of algorithm. In this paper, an improved OPAST algorithm is proposed. The algorithm reduce cumulative error in the process of every iterations by inducting the dual Gram-Schmidt orthogonalization, ensure the algorithm has a better stability. Simulation results show this algorithm has stability convergence.

Info:

Periodical:

Advanced Materials Research (Volumes 301-303)

Edited by:

Riza Esa and Yanwen Wu

Pages:

737-741

DOI:

10.4028/www.scientific.net/AMR.301-303.737

Citation:

Z. S. Hou et al., "An Improved Blind Multiuser Detector Algorithm Based on Subspace Tracking", Advanced Materials Research, Vols. 301-303, pp. 737-741, 2011

Online since:

July 2011

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Price:

$35.00

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