Title :
Joint Transceiver Design for MIMO Channel Shortening
Author :
Toker, Cenk ; Lambotharan, Sangarapillai ; Chambers, Jonathon A.
Author_Institution :
Hacettepe Univ., Ankara
fDate :
7/1/2007 12:00:00 AM
Abstract :
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.
Keywords :
MIMO communication; computational complexity; transceivers; MIMO channel shortening; computational complexity; eigenmodes; error floor effect; frequency domain approach; infinite length time domain design; joint transceiver design; space frequency waterfilling algorithm; Computational complexity; Equalizers; Filters; Frequency estimation; Intersymbol interference; MIMO; Maximum likelihood estimation; Throughput; Time domain analysis; Transceivers; Broadband beamformer; channel shortening; equalization; joint transmitter–receiver design; multiple-input multiple-output (MIMO); waterfilling;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2007.894231