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

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2 Author(s)
Yunlong Cai ; Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China ; Rodrigo C. de Lamare

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 (DSCDMA) systems show that the proposed adaptive algorithms significantly outperform the existing schemes.

Published in:

IEEE Communications Letters  (Volume:17 ,  Issue: 4 )