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
fDate :
3/1/2009 12:00:00 AM
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;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2008.924991