Title :
Minimum BER prefilter transform for communications systems with binary signaling and known FIR MIMO channel
Author :
Hjorungnes, A. ; Diniz, Paulo S R
Author_Institution :
Univ. Graduate Center, Univ. of Oslo, Kjeller, Norway
fDate :
3/1/2005 12:00:00 AM
Abstract :
The problem of designing an optimal prefilter transform for finite impulse response (FIR) multiple-input multiple-output (MIMO) communication systems is addressed. The bit error rate (BER) is minimized under a power constraint. Binary signaling is assumed. The transmitter requires knowledge of the channel transfer function coefficients and the receiver transform. It is shown that the proposed prefiltering transform outperforms three previously known prefilter transform methods in terms of BER versus channel quality. The proposed prefilter transform is applicable to downlink communication systems where the base station can estimate the channel while receiving data from the mobile station.
Keywords :
FIR filters; Gaussian noise; MIMO systems; channel estimation; discrete transforms; error statistics; radio receivers; radio transmitters; BER; FIR filter; Gaussian noise; MIMO; binary signaling; bit error rate; channel estimation; channel transfer function; discrete transforms; downlink communication systems; finite impulse response filter; multiple-input multiple-output communication system; optimal prefilter transform; receiver transform; transmitter optimization; Base stations; Binary phase shift keying; Bit error rate; Downlink; Finite impulse response filter; MIMO; Power system modeling; Signal design; Transfer functions; Transmitters; Discrete transforms; FIR MIMO filters; Gaussian noise; MIMO system; minimum BER; multiple-input; multiple-output; transmitter optimization;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2004.842272