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Adaptive Minimum BER Reduced-Rank Interference Suppression Algorithms Based on Joint and Iterative Optimization of Parameters

2013/02/17 by Yunlong Cai, Rodrigo C. de Lamare · 1 citation
Computer Science · Mathematics · #cs.IT #math.IT

paper · pdf

published as IEEE Communications Letters, 2012 · 3 figures

arxiv created 2013/02/17 · arxiv updated 2013/02/19

Abstract

In this letter, we propose a novel adaptive reduced-rank strategy based on joint iterative optimization (JIO) of filters according to the minimization of the bit error rate (BER) cost function. The proposed optimization technique adjusts the weights of a subspace projection matrix and a reduced-rank filter jointly. We develop stochastic gradient (SG) algorithms for their adaptive implementation and introduce a novel automatic rank selection method based on the BER criterion. Simulation results for direct-sequence code-division-multiple-access (DS-CDMA) systems show that the proposed adaptive algorithms significantly outperform the existing schemes.

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