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Sensors 2015, 15(8), 20152-20168; doi:10.3390/s150820152

A Charrelation Matrix-Based Blind Adaptive Detector for DS-CDMA Systems

National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China
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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 1 July 2015 / Revised: 30 July 2015 / Accepted: 10 August 2015 / Published: 14 August 2015
(This article belongs to the Section Physical Sensors)
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Abstract

In this paper, a blind adaptive detector is proposed for blind separation of user signals and blind estimation of spreading sequences in DS-CDMA systems. The blind separation scheme exploits a charrelation matrix for simple computation and effective extraction of information from observation signal samples. The system model of DS-CDMA signals is modeled as a blind separation framework. The unknown user information and spreading sequence of DS-CDMA systems can be estimated only from the sampled observation signals. Theoretical analysis and simulation results show that the improved performance of the proposed algorithm in comparison with the existing conventional algorithms used in DS-CDMA systems. Especially, the proposed scheme is suitable for when the number of observation samples is less and the signal to noise ratio (SNR) is low. View Full-Text
Keywords: blind source separation; DS-CDMA; charrelation matrix; joint diagonalization blind source separation; DS-CDMA; charrelation matrix; joint diagonalization
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

Luo, Z.; Zhu, L. A Charrelation Matrix-Based Blind Adaptive Detector for DS-CDMA Systems. Sensors 2015, 15, 20152-20168.

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