Research on a new blind adaptive multi-user detector

Ding Jie Xu; Shao Bin Guo; Feng Shen

doi:10.3963/j.issn.1671-4431.2009.15.030

Research on a new blind adaptive multi-user detector

Ding Jie Xu^*
, Shao Bin Guo
, Feng Shen

^*Corresponding author for this work

Harbin Engineering University

Research output: Contribution to journal › Article › peer-review

Abstract

To solve the strong MAI in the stable CDMA system a new algorithm of normalized LMS blind multiuser detector based on kalman filter is proposed. The algorithm which combines the kalman filter and normalized LMS can estimates the adaptive vector to get the optimal estimation of the detection vector. Both experimental simulation and analysis show that the algorithm has fast convergence, high accuracy in tracking, excellent capability of anti-multiple access interference, low computation complexity and high engineering practical value.

Original language	English
Pages (from-to)	111-114
Number of pages	4
Journal	Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology
Volume	31
Issue number	15
DOIs	https://doi.org/10.3963/j.issn.1671-4431.2009.15.030
State	Published - 15 Aug 2009
Externally published	Yes

Keywords

Blind multiuser detector
CDMA
Kalman filter
Least mean square
Multiple access interference

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10.3963/j.issn.1671-4431.2009.15.030

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title = "Research on a new blind adaptive multi-user detector",

abstract = "To solve the strong MAI in the stable CDMA system a new algorithm of normalized LMS blind multiuser detector based on kalman filter is proposed. The algorithm which combines the kalman filter and normalized LMS can estimates the adaptive vector to get the optimal estimation of the detection vector. Both experimental simulation and analysis show that the algorithm has fast convergence, high accuracy in tracking, excellent capability of anti-multiple access interference, low computation complexity and high engineering practical value.",

keywords = "Blind multiuser detector, CDMA, Kalman filter, Least mean square, Multiple access interference",

author = "Xu, \{Ding Jie\} and Guo, \{Shao Bin\} and Feng Shen",

year = "2009",

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T1 - Research on a new blind adaptive multi-user detector

AU - Xu, Ding Jie

AU - Guo, Shao Bin

AU - Shen, Feng

PY - 2009/8/15

Y1 - 2009/8/15

N2 - To solve the strong MAI in the stable CDMA system a new algorithm of normalized LMS blind multiuser detector based on kalman filter is proposed. The algorithm which combines the kalman filter and normalized LMS can estimates the adaptive vector to get the optimal estimation of the detection vector. Both experimental simulation and analysis show that the algorithm has fast convergence, high accuracy in tracking, excellent capability of anti-multiple access interference, low computation complexity and high engineering practical value.

AB - To solve the strong MAI in the stable CDMA system a new algorithm of normalized LMS blind multiuser detector based on kalman filter is proposed. The algorithm which combines the kalman filter and normalized LMS can estimates the adaptive vector to get the optimal estimation of the detection vector. Both experimental simulation and analysis show that the algorithm has fast convergence, high accuracy in tracking, excellent capability of anti-multiple access interference, low computation complexity and high engineering practical value.

KW - Blind multiuser detector

KW - CDMA

KW - Kalman filter

KW - Least mean square

KW - Multiple access interference

UR - https://www.scopus.com/pages/publications/70349983542

U2 - 10.3963/j.issn.1671-4431.2009.15.030

DO - 10.3963/j.issn.1671-4431.2009.15.030

M3 - 文章

AN - SCOPUS:70349983542

SN - 1671-4431

VL - 31

SP - 111

EP - 114

JO - Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology

JF - Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology

IS - 15

ER -

Research on a new blind adaptive multi-user detector

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Keywords

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