Adaptive minimum-BER linear multiuser detection

被引：5

作者：

Chen, S ^{[1
]}

Samingan, AK ^{[1
]}

Mulgrew, B ^{[1
]}

Hanzo, L ^{[1
]}

机构：

[1] Univ Southampton, Dept Elect & Comp Sci, Southampton SO17 1BJ, Hants, England

来源：

2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING | 2001年

关键词：

D O I：

10.1109/ICASSP.2001.940447

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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.

引用

页码：2253 / 2256

页数：4

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