DocumentCode
1209550
Title
Transceiver Design for Spatial Multiplexing Based on Prewhitening Detector
Author
Song, Lingyang ; Hjorungnes, A. ; Yahampath, Pradeepa ; Bhatnagar, Manav R.
Author_Institution
Philips Res. Labs., Guilford
Volume
58
Issue
3
fYear
2009
fDate
3/1/2009 12:00:00 AM
Firstpage
1345
Lastpage
1354
Abstract
In this paper, we propose a joint-transmitter-and-receiver design for spatial multiplexing based on a novel prewhitening detector (PWD). By using decision feedback equalization (DFE), Gaussian approximation, a prewhitening filter, and a matched filter, the proposed PWD transforms the multiple-input-multiple-output (MIMO) system into several parallel single-input-single-output (SISO) schemes and facilitates single-symbol detection. The proposed scheme achieves near-optimal symbol recovery with a complexity similar to that of a minimum-mean-square-error decision feedback equalizer (MMSE-DFE). The closed-form symbol error rate (SER) of the PWD is derived, which can be used to closely predict the ML performance for uncoded V-BLAST schemes. By assuming full channel knowledge at the transmitter side, we use a preequalizer and a precoder in a downlink scenario. The preequalizer can transfer the feedback part of the DFE to the transmitter side and thus provide better performance in a low signal-to-noise ratio (SNR) with reduced receiver complexity. The precoder designed to minimize the SER of this system can further improve performance without affecting the complexity at the receiver side.
Keywords
Gaussian processes; MIMO communication; communication complexity; decision feedback equalisers; error statistics; filtering theory; least mean squares methods; multiplexing; precoding; radio receivers; radio transmitters; transceivers; Gaussian approximation; MIMO system; SISO system; decision feedback equalization; joint-transmitter-and-receiver design; matched filter; minimum-mean-square-error; multiple-input-multiple-output system; precoder; prewhitening detector; prewhitening filter; reduced receiver complexity; signal-to-noise ratio; single-input-single-output system; single-symbol detection; spatial multiplexing; symbol error rate; symbol recovery; transceiver design; Gaussian approximation; MIMO; ML; MMSE-DFE; Spatial Multiplexing; maximum likelihood (ML); minimum mean square error decision feedback equalizer (MMSE-DFE); multiple-input multiple-output (MIMO); pre-equalizer; precoder; preequalizer; spatial multiplexing;
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2008.924991
Filename
4510723
Link To Document