DocumentCode :
62842
Title :
On Symbol-Wise Variational Bayesian CSI Estimation and Detection for Distributed Antenna Systems Subjected to Multiple Unknown Jammers
Author :
Ke Zhong ; Shaoqian Li
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume :
21
Issue :
7
fYear :
2014
fDate :
Jul-14
Firstpage :
782
Lastpage :
786
Abstract :
This letter develops a novel iterative joint channel state information estimation (CSIE), jammer estimation (JE) and data detection (DD) algorithm for orthogonal frequency division multiplexing (OFDM)-based distributed antenna systems in the presence of multiple unknown jammers. In contrast to existing methods that only heuristically combine CSIE, JE and DD, the proposed algorithm rigorously casts the three problems under a unified variational Bayesian inference framework. Simulation results demonstrate that the proposed algorithm converges rapidly, and after convergence, the bit-error-rate performance of the proposed algorithm is very close to that of the ideal case which supposes perfect knowledge of CSI and jammer. In addition, it is shown that the proposed algorithm significantly outperforms other state-of-the-art methods.
Keywords :
OFDM modulation; antenna arrays; channel estimation; error statistics; iterative methods; jamming; CSIE algorithm; DD algorithm; JE algorithm; OFDM-based distributed antenna systems; bit-error-rate performance; data detection algorithm; distributed antenna system detection; iterative joint channel state information estimation algorithm; jammer estimation algorithm; orthogonal frequency division multiplexing; symbol-wise variational Bayesian CSI estimation; unified variational Bayesian inference framework; Approximation methods; Bayes methods; Inference algorithms; Jamming; Joints; Signal processing algorithms; Vectors; Bayesian estimation and detection; distributed antenna systems; unknown jammers; worst case;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2014.2315529
Filename :
6782751
Link To Document :
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