Conference paper
A novel multiuser detection scheme combining adaptive MMSE receiver and parallel interference canceller for near-far resistance
The adaptive minimum mean-squared error (MMSE) detector for direct-sequence code-division multiple access (DS-CDMA), is attractive because it has a simple structure. Also, the adaptive nature of the detector allows it to learn the required information and adjust it to the prevailing interference and noise environment.
However, it shows performance degradation in a severe near-far environment. On the other hand, a parallel interference cancellation (PIC) detector has the potential to combat the near-far problem, since it is designed to subtract out interference. However, this performance depends on its data estimates.
A novel multiuser detector is proposed to combat the near-far problem in DS-CDMA schemes. It utilizes the advantages of the two detectors by combining an adaptive MMSE multi-user detector and PIC detector. The focus of the paper is on the near-far resistance capability of the detector. Simulation studies shows that the proposed detector is immune to the near-far problem on top of its improved bit error rate.
Language: | English |
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Year: | 2002 |
Pages: | 119,120,121,122 |
Proceedings: | MWCN 2002 - 4th IEEE Conference on Mobile and Wireless Communications Networks |
ISBN: | 0780376056 and 9780780376052 |
Types: | Conference paper |
DOI: | 10.1109/MWCN.2002.1045707 |
BER Computer errors Concurrent computing DS-CDMA Degradation Detectors Drives Electric resistance Interference cancellation MAI MMSE detector Multiaccess communication Multiple access interference Multiuser detection PIC adaptive detector adaptive signal detection bit error rate code division multiple access data estimation direct-sequence code-division multiple access interference suppression least mean squares methods minimum mean-squared error multiple-access interference multiuser detection near-far resistance parallel interference canceller parameter estimation radio receivers radiofrequency interference spread spectrum communication