Distributed Blind Adaptive Equalization for Sensor Networks Based on the Minimum Variance Distortionless Response

書誌事項

公開日
2020-11-09
DOI
  • 10.34385/proc.74.a4l-d-1
公開者
The Institute of Electronics, Information and Communication Engineers

説明

This report proposes a novel distributed blind adaptive equalization algorithm for sensor networks where each node estimates the data disturbed by inter-symbol interference using time-domain filtering. We apply the Minimum Variance Distortionless Response (MVDR), which is known to be useful for centralized blind equalization, to distributed equalization by introducing multiple distortionless response constraints. Unlike a conventional algorithm, each node requires only one filter and sends one signal to the other nodes. Simulation results demonstrate the effectiveness of the proposed algorithm.

収録刊行物

  • IEICE Proceeding Series

    IEICE Proceeding Series 74 142-145, 2020-11-09

    The Institute of Electronics, Information and Communication Engineers

詳細情報 詳細情報について

  • CRID
    1390859635831698944
  • DOI
    10.34385/proc.74.a4l-d-1
  • ISSN
    21885079
  • 本文言語コード
    en
  • データソース種別
    • JaLC
  • 抄録ライセンスフラグ
    使用不可

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