JOURNAL ARTICLE

Widely Linear MMSE Transceivers for MIMO Channels

Fabio Sterle

Year: 2007 Journal:   IEEE Transactions on Signal Processing Vol: 55 (8)Pages: 4258-4270   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This paper considers the joint design of the transmitter and the receiver for linear multiple-input multiple-output (MIMO) channels when the channel state information (CSI) is available at both sides of the link. Assuming that the data symbols are mapped into points of fixed signal constellations, a transceiver structure employing widely linear (WL) filters, rather than linear ones, is proposed in order to exploit the statistical redundancy of some constellations, i.e., the correlation between the signals and their conjugate version. WL filters linearly and independently process both the in-phase and the quadrature components of the input signals and, with a limited increase in the computational complexity, allows one to improve the system performances. It is shown that, by representing the basic system model in terms of in-phase and quadrature components, the proposed structure can be derived by utilizing the already existing procedure for the design of the linear transceiver according to the minimum-mean-square-error (MMSE) criterion. The performances of the WL and linear transceivers are compared in terms of mean-square error, symbol error rate, and achieved multiplexing gain.

Keywords:
MIMO Minimum mean square error Transceiver Transmitter Linear filter Computer science Quadrature (astronomy) Mathematics Channel state information Multiplexing Redundancy (engineering) Control theory (sociology) Linear phase Algorithm Mean squared error Channel (broadcasting) Electronic engineering Telecommunications Wireless Filter (signal processing) Statistics

Metrics

34
Cited By
1.24
FWCI (Field Weighted Citation Impact)
24
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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