Adaptive MSER Reduced-Rank Decision Feedback Receiver for Large-Scale Multiple-Antenna Systems

Konferenz: WSA 2015 - 19th International ITG Workshop on Smart Antennas
03.03.2015 - 05.03.2015 in Ilmenau, Deutschland

Tagungsband: WSA 2015

Seiten: 6Sprache: EnglischTyp: PDF

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Autoren:
Qin, Boya; Cai, Yunlong; Zhao, Minjian (Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China)
Lamare, Rodrigo C. de (CETUC-PUC-Rio, 22453-900 Rio de Janeiro, Brazil)

Inhalt:
In this paper, we propose a novel adaptive reducedrank decision feedback (DF) receiver strategy based on the minimization symbol-error-rate (MSER) criterion for largescale multiple-antenna systems. In this strategy, a reduced-rank method for general parameter estimation using an adaptive joint and iterative preprocessing, decimation and filtering (JPDF) scheme is proposed for DF receive processing. We design a pre-stored decimation matrix and develop conjugate gradient (CG) and modified conjugate gradient (MCG) algorithms for computing the parameters of the preprocessor and reduced-rank filter. A computational complexity analysis is carried out for the existing and proposed adaptive DF algorithms. Simulation results are provided and show that the proposed adaptive MSER-JPDF reduced-rank DF receive processing strategy can achieve a superior performance to conventional adaptive linear and DF receive processing algorithms.