Abstract
This paper presents an efficient Bayesian blind multiuser receiver for long code multipath CDMA systems. The proposed receiver employs the adaptive sampling method for the Bayesian inference procedure to estimate the data symbols and multipath parameters. Compared to the other reported Bayesian Monte Carlo receivers for long code multipath CDMA systems the proposed one achieves a faster convergence and a lower computational complexity to attain comparable performance. Simulation results are presented to demonstrate the effectiveness of the proposed Bayesian blind multiuser receiver.
Original language | English |
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Pages (from-to) | 265-278 |
Number of pages | 14 |
Journal | Wireless Personal Communications |
Volume | 39 |
Issue number | 3 |
DOIs | |
Publication status | Published - Nov 2006 |
Externally published | Yes |
Keywords
- Adaptive sampling
- Bayesian inference
- Long-code CDMA
- Markov chain Monte Carlo procedure
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering