Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142746
Title: Blind equalization in the presence of co-channel interference based on higher-order statistics
Authors: Wang, Guohua
Kapilan, Balagobalan
Razul, Sirajudeen Gulam
Ting, Shang Kee
See, Samson Chong Meng
Keywords: Science::Mathematics
Issue Date: 2018
Source: Wang, G., Kapilan, B., Razul, S. G., Ting, S. K., & See, S. C. M. (2018). Blind equalization in the presence of co-channel interference based on higher-order statistics. Circuits, Systems, and Signal Processing, 37(9), 4150-4161. doi:10.1007/s00034-017-0744-x
Journal: Circuits, Systems, and Signal Processing
Abstract: An improved blind channel equalization method is proposed based on the generalized eigenvector algorithm (GEA) in this paper. This new method can blindly equalize the desired signal in the presence of strong co-channel interference. The basic idea underlying the improved GEA method is that higher-order cumulants can be sensitive to frequency offset. By exploiting this property of higher-order statistics, blind equalizer can be designed to equalize the desired signal with known frequency offset while suppressing the interference with a different frequency offset. Simulation results are shown to demonstrate the effectiveness of the proposed method.
URI: https://hdl.handle.net/10356/142746
ISSN: 0278-081X
DOI: 10.1007/s00034-017-0744-x
Rights: © 2018 Springer Science+Business Media, LLC, part of Springer Nature. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:TL Journal Articles

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