Name
Title | ||
|---|---|---|
Adaptive MSER Reduced-Rank Decision Feedback Receiver for Large-Scale Multiple-Antenna Systems |
Abstract | ||
|---|---|---|
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. |
Year | Venue | Field |
|---|---|---|
2015 | WSA | Conjugate gradient method,Decimation,Computer science,Control theory,Matrix (mathematics),Filter (signal processing),Algorithm,Minification,Preprocessor,Estimation theory,Computational complexity theory |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Boya Qin | 1 | 19 | 3.38 |
| Yunlong Cai | 2 | 238 | 25.39 |
| Lamare, Rodrigo C.de | 3 | 6 | 2.18 |
| Minjian Zhao | 4 | 118 | 27.18 |