|Table of Contents|

Changeable step blind multi-user detector based on momentum factor

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2014年02期
Page:
287-290
Research Field:
Publishing date:

Info

Title:
Changeable step blind multi-user detector based on momentum factor
Author(s):
Li Yanping1Wu Fei1Hao Qingli2Gao Zhongbao1
1.College of Information Engineering,Taiyuan University of Technology,Taiyuan 030024,China; 2.Key Laboratory of Soft Chemistry and Functional Materials,Ministry of Education,NUST, Nanjing 210094,China
Keywords:
signal and information processing blind multi-user detection multi-access interference suppression changeable step least mean square algorithm momentum factors
PACS:
TN911.23
DOI:
-
Abstract:
For the three classical blind multiuser detection algorithms,the convergence rate of the least mean squares(LMS)is slower,and the recursive least squares(RLS)and the Kalman algorithm have higher computational complexity,a new changeable step algorithm based on the momentum factor is proposed.By using a larger step value in initial moment and dynamically adjusting step in iteration phases according to the detector output error of the same symbol received in two adjacent iteration processes,the algorithm has the better convergence performance.Simulation results show that the convergence performance of the improving algorithms is better than that of the classical LMS,the stable output performance is close to that of the RLS and Kalman,and the computational complexity is a little higher than that of the LMS.The method can instantaneously and effectively suppress the multiaccess interference.

References:

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[3]He H,Wu C C,Yang T,et al.Analysis of smart antenna interference suppression base on LMS improved algorithm[J].Key Engineering Materials,2011,474-476:1019-1023.
[4]Wang L H,He W,Zhou K H,et al.Adaptive channel equalization based on RLS algorithm[A].2011 International Conference on System Science,Engineering Design,and Manufacturing Informatization(ICSEM)[C].Guiyang,China:ICSEM,2011,2:105-108.
[5]Zhang Xianda,Wei Wei.Blind adaptive multiuser detection based on Kalman filtering[J].IEEE Transactions on Signal Processing,2002,50(1):87-95.

Memo

Memo:
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Last Update: 2014-04-30