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

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School of Electronic Information, Wuhan University, Luojiashan, Wuhan 430072, China
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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
Information 2015, 6(1), 3-13; https://doi.org/10.3390/info6010003
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)
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
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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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