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Circuits, Systems, and Signal Processing

, Volume 37, Issue 9, pp 4150–4161 | Cite as

Blind Equalization in the Presence of Co-channel Interference Based on Higher-Order Statistics

  • Guohua Wang
  • Balagobalan Kapilan
  • Sirajudeen Gulam Razul
  • Shang Kee Ting
  • Chong Meng Samson See
Short Paper
  • 70 Downloads

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.

Keywords

Channel equalization Blind channel equalization High-order statistics Co-channel interference 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Temasek LaboratoriesNanyang Technological UniversitySingaporeRepublic of Singapore
  2. 2.ENTCUniversity of MoratuwaMoratuwaSri Lanka

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