粒子群最適化法を用いたマルチチャネルエコーキャンセラ

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2015/01/01

タイトル(英語): Multi-channel Acoustic Echo Canceler Based on Particle Swarm Optimization

著者名: 木許　雅則（日本工業大学工学部電気電子工学科），浅見　卓也（日本工業大学工学部電気電子工学科）

著者名(英語): Masanori Kimoto (Department of Electrical and Electronics Engineering, Nippon Institute of Technology), Takuya Asami (Department of Electrical and Electronics Engineering, Nippon Institute of Technology)

キーワード: マルチチャネルエコーキャンセラ，係数不定性，粒子群最適化法　　Multi-channel acoustic echo canceler，Mis-adjustment problem，Particle Swarm Optimization (PSO)

要約(英語): In multichannel acoustic echo canceler based on linear combination, the uniqueness problem exists that adaptive filter's can't identify the correct echo-paths due to highly cross-correlated multichannel input signals. Pre-processing for input signal are good candidates for solving this problem. However, it can have the drawbacks to deteriorate audio quality as a secondary problem. In this mis-adjustment problem, the universal solution is not led in the conventional adaptive filter's optimization. In this paper, we propose a new multichannel adaptive echo canceling algorithm based on particle swarm optimization (PSO) without pre-processing to input signals. PSO is a stochastic optimization technique inspired by social behavior of bird frocking or fish schooling, and this is the first attempt to apply it for multichannel acoustic echo cancelers. By performing various simulation we confirm the proposed method can be estimate correct echo-paths with highly cross-correlated input signals.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.135 No.1 （2015） 特集：インタフェース関連アナログ電子回路技術

本誌掲載ページ: 37-44 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/135/1/135_37/_article/-char/ja/