Loading...
Loading...

Go to the content (press return)

Blind multiuser detection using hidden markov models theory

Author
Anton, C.; Fonollosa, José A. R.; R. Fonollosa, Javier
Type of activity
Presentation of work at congresses
Name of edition
4th International Symposium on Spread Spectrum Techniques and Applications
Date of publication
1996
Presentation's date
1996-09
Book of congress proceedings
ISSSTA 1996: 4th International Symposium on Spread Spectrum Techniques and Applications: Electoral Palace, Mainz, Germany: September 22-25, 1996
First page
1248
Last page
1252
Publisher
BOB WERNER IEEE
DOI
https://doi.org/10.1109/ISSSTA.1996.563505 Open in new window
Repository
http://hdl.handle.net/2117/102833 Open in new window
URL
http://ieeexplore.ieee.org/document/563505/ Open in new window
Abstract
We present an adaptive algorithm based on the theory of hidden Markov models (HMM) which is capable of jointly detecting the users in a DS-CDMA system. The proposed technique is near-far resistant and completely blind in the sense that no knowledge of the signature sequences, channel state information or training sequences is required for any user. In addition to this, an estimate of the signature of each user convolved with its physical channel impulse response (CIR), and an estimate of the bac...
Citation
Anton, C., Fonollosa, José A. R., R. Fonollosa, J. Blind multiuser detection using hidden markov models theory. A: International Symposium on Spread Spectrum Techniques and Applications. "ISSSTA 1996: 4th International Symposium on Spread Spectrum Techniques and Applications: Electoral Palace, Mainz, Germany: September 22-25, 1996". BOB WERNER IEEE, 1996, p. 1248-1252.
Keywords
Adaptive signal detection, Code division multiple access, Hidden Markov models, Parameter estimation, Pseudonoise codes, Spread spectrum communication, Telecommunication channels
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SPCOM - Signal Processing and Communications Group
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

Participants

Attachments