一貫性に基づいた,強固な周波数依存変数ステップサイズの方法
Siyuan Lian1,2, Jincheng Gu2, Shuping Wang1
1Key Laboratory of Modern Acoustics, Institute of Acoustics, Nanjing University, Nanjing 210093, China.
The Journal of the Acoustical Society of America
|August 20, 2025
まとめ
この研究は,安定性と収束速度を改善するアクティブ道路騒音制御 (ARNC) の新しいアルゴリズムを導入します. この方法は予測不能な乱れがある現実の世界でのパフォーマンスを高めます.
科学分野:
- エンジニアリング
- 音響学
- シグナル処理
背景:
- アクティブ・ロード・ノイズ・コントロール (ARNC) は,低周波キャビンノイズを効果的に軽減します.
- DWFDFeLMSのような既存のアルゴリズムは 急速な収束を示しているが,相関のない乱れに苦しんでいる.
研究 の 目的:
- 現実世界のノイズによって引き起こされる安定性と収束の問題に対処する堅固なARNCアルゴリズムを開発する.
- ダイナミックな環境でDWFDFeLMSアルゴリズムのパフォーマンスを向上させる.
主な方法:
- 一貫性に基づいた安定した周波数依存変数ステップサイズ方法を提案しました.
- ダイナミックなステップサイズ調整とシステムの安定性のために多チャネルコヒーレンス係数を使用します.
- DWFDFeLMSアルゴリズムと新しいステップサイズの方法を統合しました.
主要な成果:
- 新しいアルゴリズムは初期収束が速く 安定状態の誤差が最小であることを示した.
- キャビン内での干渉と無関係な干渉に対する回復力を高めました.
- 測定された道路騒音とリアルタイムのカーキャビンのテストを用いたシミュレーションで検証された.
結論:
- 提案された一貫性ベースの変数ステップサイズのDWFDFeLMSアルゴリズムは,ARNCシステムにとって優れた収束速度と安定性を提供します.
- この方法では,困難な現実の環境下での車両キャビンの道路騒音を効果的に軽減します.
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