Widely Linear Prediction for Blind Equalization

This paper proposes a new blind equalization scheme based on widely linear (WL) prediction. It permits to compensate non-minimum phase channels with or without spectral nulls, since the received signal can be interpreted as a convolution of a real-valued data sequence and a complex baseband channel....

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Bibliographic Details
Main Authors: de Aquino, F.J.A., da Rocha, C.A.F., Resende, L.S.
Format: Conference Proceeding
Language:English
Subjects:
Baseband
Blind equalizers
Communications Society
Computational complexity
Convolution
Finite impulse response filter
GSM
Quadrature amplitude modulation
Signal processing
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Summary:This paper proposes a new blind equalization scheme based on widely linear (WL) prediction. It permits to compensate non-minimum phase channels with or without spectral nulls, since the received signal can be interpreted as a convolution of a real-valued data sequence and a complex baseband channel. Such a transmission model applies, for instance, to the ASK, OQAM and binary MSK-type modulations. The WL prediction technique uses a linear combination of the complex delayed samples of the received signal and its complex conjugate to predict the current sample. The proposed WL blind equalizer presents a low computational complexity and a higher convergence rate as compared to others blind equalization techniques.
ISSN:1550-3607
1938-1883
DOI:10.1109/ICC.2007.496