Soft Decision Directed Dual-layer Channel Estimation for Time-Varying MIMO Channels

被引：0

作者：

Mao, Xuehong ^{[1
]}

Hashemizadeh, S. K. ^{[2
]}

Chen, Rong-Rong ^{[2
]}

Farhang-Boroujeny, Behrouz ^{[2
]}

机构：

[1] Cadence Design Syst, San Jose, CA 95134 USA

[2] Univ Utah, ECE Dept, Salt Lake City, UT USA

来源：

2017 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2017年

关键词：

Turbo receiver; channel estimation; MIMO; Linear MMSE detector; MCMC detector;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we study soft decision directed channel estimation algorithms for joint data detection and channel estimation over time-varying multiple-input multiple-output (MIMO) channels. The optimal Wiener filter (OWF) channel estimator is data dependent, and requires high complexity due to the computation of matrix inversion at each time instance. We develop a low-complexity, dual-layer channel estimation algorithm aiming to achieve the performance of OWF with a significantly reduced complexity. Excellent performance of the proposed design is achieved for both the soft minimum mean square error (soft-MMSE) MIMO detector and the Markov Chain Monte Carlo (MCMC) MIMO detector. The MCMC detector is shown to be significantly more robust to channel estimation error than the soft-MMSE detector.

引用

页数：6

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