DocumentCode
1239730
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
Volume
12
Issue
3
fYear
2005
fDate
3/1/2005 12:00:00 AM
Firstpage
234
Lastpage
237
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;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2004.842272
Filename
1395948
Link To Document