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Information 2015, 6(1), 3-13; doi:10.3390/info6010003

The Kalman Filtering Blind Adaptive Multi-user Detector Based on Tracking Algorithm of Signal Subspace

1
School of Electronic Information, Wuhan University, Luojiashan, Wuhan 430072, China
2
Department of Electrical and Computer Engineering, University of Calgary, 2500 University Dr N.W., Calgary, AB, T2N 1N4, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: Gordana Dodig-Crnkovic
Received: 13 May 2014 / Revised: 5 January 2014 / Accepted: 14 January 2015 / Published: 20 January 2015
(This article belongs to the Section Information and Communications Technology)
View Full-Text   |   Download PDF [979 KB, uploaded 20 January 2015]   |  

Abstract

Multi-user detection is an effective method to reduce multiple access interference in code division multiple access (CDMA) systems. This paper discusses a signal subspace based blind adaptive multiuser detector and a Kalman filtering blind adaptive multiuser detector. Combining them together, a new Kalman filtering blind adaptive multiuser detector based on a tracking algorithm of the signal subspace is proposed. Analysis and simulation show that the proposed blind multiuser detector achieves better suppression of multiple access interference and has a higher convergence rate. View Full-Text
Keywords: multiple access interference; blind adaptive detector; signal subspace; Kalman filter; multi-user detector multiple access interference; blind adaptive detector; signal subspace; Kalman filter; multi-user detector
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Zhou, L.; Leung, H.; Xu, P.; Ru, G.; Zhao, Q.; Xu, D. The Kalman Filtering Blind Adaptive Multi-user Detector Based on Tracking Algorithm of Signal Subspace. Information 2015, 6, 3-13.

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