Direct Blind Equalization Corresponding to Noisy Environment using Rayleigh Quotient

Minoru Komatsu, Nari Tanabe, Toshihiro Furukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes direct blind equalization corresponding to noisy environment using Rayleigh Quotient. Direct blind equalization using Zero-Forcing (ZF) criterion as the conventional method has problem that the performance of equalizer is lower because this method is used for the signals including noises. To solving this problem, in this paper, we propose Direct Blind Equalization based on Data least Square (DLS) method consideration on the noises. The proposed method is directly estimated equalizer by observed signals for modeling input-output relation of equalizer based on constrain conditions of ZF criterion and the matrix constructed observed signals is input signals of systems. The noises of the matrix constructed observed signals is suppressed DLS method based on Rayleigh Quotient. The features of proposed method are (i) realization of high performance and stable equalizer estimation with Rayleigh Quotient and (ii) construction of new model for suppressing the noises. We show the effectiveness of the proposed method using computer simulation.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 15th International Colloquium on Signal Processing and its Applications, CSPA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages35-38
Number of pages4
ISBN (Electronic)9781538675632
DOIs
Publication statusPublished - 22 Apr 2019
Event15th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2019 - Penang, Malaysia
Duration: 8 Mar 20199 Mar 2019

Publication series

NameProceedings - 2019 IEEE 15th International Colloquium on Signal Processing and its Applications, CSPA 2019

Conference

Conference15th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2019
CountryMalaysia
CityPenang
Period8/03/199/03/19

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Keywords

  • Data Least Square
  • Direct Blind Equalization
  • Noisy environment
  • Rayleigh Quotient
  • Zero-Forcing

Cite this

Komatsu, M., Tanabe, N., & Furukawa, T. (2019). Direct Blind Equalization Corresponding to Noisy Environment using Rayleigh Quotient. In Proceedings - 2019 IEEE 15th International Colloquium on Signal Processing and its Applications, CSPA 2019 (pp. 35-38). [8696078] (Proceedings - 2019 IEEE 15th International Colloquium on Signal Processing and its Applications, CSPA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSPA.2019.8696078