DocumentCode
1393372
Title
SAGE algorithms for multipath detection and parameter estimation in asynchronous CDMA systems
Author
Logothetis, Andrew ; Carlemalm, Catharina
Author_Institution
Div. of Autom. Control, R. Inst. of Technol., Stockholm, Sweden
Volume
48
Issue
11
fYear
2000
fDate
11/1/2000 12:00:00 AM
Firstpage
3162
Lastpage
3174
Abstract
Algorithms to estimate blindly the parameters and input sequences for a multiuser asynchronous code division multiple access (CDMA) system are proposed. The communication system is modeled as a frequency selective fading channel with multipath propagation, where the number of active propagation channels is unknown and highly time varying. Estimates of input sequences and unknown parameters are jointly computed via the SAGE algorithm. The SAGE algorithm provides a unified approach in combining jointly multiuser detection and parameter estimation in an optimal way. Depending on the realizations of the SAGE algorithm, well-known state and parameter estimation schemes of various complexities are optimally combined
Keywords
AWGN channels; code division multiple access; fading channels; multipath channels; parameter estimation; sequences; signal detection; state estimation; time-varying channels; SAGE algorithms; active propagation channels; asynchronous CDMA systems; communication system; complexities; frequency selective fading channel; input sequences; multipath detection; multipath propagation; multiuser asynchronous code division multiple access system; parameter estimation; state estimation; unknown parameters; AWGN; Detectors; Fading; Frequency; Iterative algorithms; Maximum likelihood detection; Maximum likelihood estimation; Multiaccess communication; Multiuser detection; Parameter estimation;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.875473
Filename
875473
Link To Document