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. 2015 Aug 14;15(8):20152-68.
doi: 10.3390/s150820152.

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

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

Zhongqiang Luo et al. Sensors (Basel). .

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.

Keywords: DS-CDMA; blind source separation; charrelation matrix; joint diagonalization.

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Figures

Figure 1
Figure 1
Blind adaptive detector based DS-CDMA Systems.
Figure 2
Figure 2
ISR performance comparison of JADE and the proposed method.
Figure 3
Figure 3
BER performance comparison between JADE and the proposed method for user separation in DS-CDMA systems.
Figure 4
Figure 4
BER performance comparison among the proposed blind separation scheme and conventional scheme.
Figure 5
Figure 5
Performance of estimate the chip code for four users in a DS-CDMA system.
Figure 6
Figure 6
Estimation accuracy of the chip code for different users in a DS-CDMA system with the JADE method and the proposed method.

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