Title :
Blind multiuser detection using hidden Markov models theory
Author :
Antón-Haro, Carles ; Fonollosa, José A R ; Fonollosa, Javier R.
Author_Institution :
Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain
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 background noise variance are provided once convergence is achieved (as well as estimated data sequences). At this moment, and using that CIR estimate, we can switch to any decision-directed (DD) adaptation scheme
Keywords :
adaptive signal detection; code division multiple access; hidden Markov models; parameter estimation; pseudonoise codes; spread spectrum communication; telecommunication channels; DS-CDMA system; HMM; adaptive algorithm; background noise variance; blind multiuser detection; channel impulse response; decision directed adaptation; estimated data sequences; hidden Markov models; near-far resistant technique; signature estimation; Adaptive algorithm; Background noise; Channel state information; Convergence; Digital communication; Equalizers; Hidden Markov models; Multiaccess communication; Multiuser detection; Switches;
Conference_Titel :
Spread Spectrum Techniques and Applications Proceedings, 1996., IEEE 4th International Symposium on
Conference_Location :
Mainz
Print_ISBN :
0-7803-3567-8
DOI :
10.1109/ISSSTA.1996.563505