Adaptive minimum-BER linear multiuser detection

Author

Chen, S. ; Samingan, A.K. ; Mulgrew, B. ; Hanzo, L.

Author_Institution

Dept. of Electron. & Comput. Sci., Southampton Univ., UK

Volume

4

fYear

2001

fDate

2001

Firstpage

2253

Abstract

An adaptive minimum bit error rate (MBER) linear multiuser detector (MUD) is proposed for DS-CDMA systems. Based on the approach of kernel density estimation for approximating the bit error rate (BER) from training data, a least mean squares (LMS) style adaptive algorithm is developed for training linear MUDs. Computer simulation results show that this adaptive MBER linear MUD outperforms two existing LMS-style adaptive MBER algorithms

Keywords

adaptive signal detection; code division multiple access; error statistics; estimation theory; least mean squares methods; multiuser channels; spread spectrum communication; DS-CDMA; LMS algorithm; adaptive signal detection; approximation; kernel density estimation; least mean squares algorithm; minimum bit error rate; minimum-BER linear detection; multiuser detection; training data; Bit error rate; Computer science; Detectors; Equalizers; Error probability; Kernel; Least squares approximation; Multiaccess communication; Multiuser detection; Niobium;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940447

Filename

940447