DocumentCode
1337724
Title
Blind channel identification based on cyclic statistics
Author
Deneire, L. ; Slock, D.T.M.
Author_Institution
EURECOM, Sophia Antipolis, France
Volume
145
Issue
1
fYear
1998
fDate
2/1/1998 12:00:00 AM
Firstpage
58
Lastpage
62
Abstract
Use of cyclic statistics in fractionally sampled channels in subspace fitting and linear prediction for channel identification is proposed, possibly for multiuser and multiple antennas. Identification schemes are based on cyclic statistics using the stationary multivariate representation, leading to the use of all cyclic statistics. Compared with classical approaches, the methods proposed have an equivalent performance for subspace fitting, and an enhanced performance for linear prediction
Keywords
array signal processing; direction-of-arrival estimation; identification; land mobile radio; multi-access systems; prediction theory; signal representation; signal sampling; statistical analysis; telecommunication channels; SDMA communication system; antenna array; blind channel identification; cyclic statistics; fractionally sampled channels; linear prediction; mobile environments; multiple antennas; multiuser channels; performance; spatial division multiple access; stationary multivariate representation; subspace fitting;
fLanguage
English
Journal_Title
Radar, Sonar and Navigation, IEE Proceedings -
Publisher
iet
ISSN
1350-2395
Type
jour
DOI
10.1049/ip-rsn:19981808
Filename
660212
Link To Document