Loughborough University
Browse
- No file added yet -

Joint transceiver design for MIMO channel shortening.

Download (717.8 kB)
journal contribution
posted on 2009-11-26, 15:28 authored by Cenk Toker, Sangarapillai LambotharanSangarapillai Lambotharan, Jonathon Chambers
Channel shortening equalizers can be employed to shorten the effective impulse response of a long intersymbol interference (ISI) channel in order, for example, to decrease the computational complexity of a maximum-likelihood sequence estimator (MLSE) or to increase the throughput efficiency of an orthogonal frequency-division multiplexing (OFDM) transmission scheme. In this paper, the issue of joint transmitter–receiver filter design is addressed for shortening multiple-input multiple-output (MIMO) ISI channels. A frequency-domain approach is adopted for the transceiver design which is effectively equivalent to an infinite-length time-domain design. A practical space–frequency waterfilling algorithm is also provided. It is demonstrated that the channel shortening equalizer designed according to the time-domain approach suffers from an error-floor effect. However, the proposed techniques are shown to overcome this problem and outperform the time-domain channel shortening filter design. We also demonstrate that the proposed transceiver design can be considered as a MIMO broadband beamformer with constraints on the time-domain multipath length. Hence, a significant diversity gain could also be achieved by choosing strong eigenmodes of the MIMO channel. It is also found that the proposed frequency-domain methods have considerably low computational complexity as compared with their time-domain counterparts.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

TOKER, C., LAMBOTHARAN, S. and CHAMBERS, J.A., 2007. Joint transceiver design for MIMO channel shortening. IEEE Transactions on Signal Processing, 55 (7), pt.2, pp. 3851-3866.

Publisher

© IEEE

Version

  • VoR (Version of Record)

Publication date

2007

Notes

This article was published in the journal IEEE Transactions on Signal Processing [© IEEE] and is also available at: http://ieeexplore.ieee.org/. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

ISSN

1053-587X

Language

  • en