A probabilistic method for blind multi-user detection using array observations

Author

Anton-Haro, Carles ; Fonollosa, Jose A R ; Fonollosa, Javier R.

Author_Institution

Dept. de Teoria del Senyal i Comunicacions, Univ. Politecnica de Catalunya, Barcelona, Spain

fYear

1997

fDate

16-18 April 1997

Firstpage

229

Lastpage

232

Abstract

In this paper, a blind algorithm for detecting active users in a DS-CDMA system is presented. This probabilistic algorithm relies on the theory of hidden Markov models (HMM) and is completely blind in the sense that no knowledge of the signature sequences, channel state information or training sequences is required for any user. Additionally, observation through an array of sensors is also considered. Performance is verified via computer simulations, showing the near-far resistance of the analyzed procedure.

Keywords

array signal processing; code division multiple access; hidden Markov models; probability; signal detection; spread spectrum communication; DS-CDMA system; active users detection; array observations; blind algorithm; blind multi-user detection; channel state information; computer simulations; hidden Markov models; near-far resistance; performance; probabilistic method; signature sequences; training sequences; Blind equalizers; Channel state information; Diversity reception; Hidden Markov models; Multiaccess communication; Multiple access interference; Multiuser detection; Sensor arrays; Timing; Tsunami;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications, First IEEE Signal Processing Workshop on

Conference_Location

Paris, France

Print_ISBN

0-7803-3944-4

Type

conf

DOI

10.1109/SPAWC.1997.630331

Filename

630331