Distributed Blind Adaptive Equalization for Sensor Networks Based on the Minimum Variance Distortionless Response
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- Zhao Songyuan
- Ibaraki University
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- Sugitani Yoshiki
- Ibaraki University
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- Miyajima Teruyuki
- Ibaraki University
書誌事項
- 公開日
- 2020-11-09
- DOI
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- 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
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- IEICE Proceeding Series
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IEICE Proceeding Series 74 142-145, 2020-11-09
The Institute of Electronics, Information and Communication Engineers
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詳細情報 詳細情報について
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- CRID
- 1390859635831698944
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- ISSN
- 21885079
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- 本文言語コード
- en
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- データソース種別
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- JaLC
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- 抄録ライセンスフラグ
- 使用不可