A State-Space Approach to High-order Adaptive Band-Pass Filtering

Shunsuke Koshita, Keita Miyoshi, Masahide Abe, Masayuki Kawamata

研究成果: Conference contribution

抄録

This paper proposes a new method of high-order adaptive band-pass filtering for detection of narrowband signals in white noise. In our proposed method we realize a desired adaptive filter in state-space form, which leads to high-accuracy detection of narrowband signals under finite wordlength constraints. We achieve this goal by describing a gradient-based adaptive algorithm for our previously proposed tunable band-pass state-space filters. It is demonstrated that our adaptive state-space filters show the robust convergence behavior against quantization effects, whereas the convergence behavior of the conventional direct-form adaptive filters is very sensitive to the quantization effects.

本文言語English
ホスト出版物のタイトル2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538668115
DOI
出版ステータスPublished - 2019 1月 31
イベント23rd IEEE International Conference on Digital Signal Processing, DSP 2018 - Shanghai, China
継続期間: 2018 11月 192018 11月 21

出版物シリーズ

名前International Conference on Digital Signal Processing, DSP
2018-November

Conference

Conference23rd IEEE International Conference on Digital Signal Processing, DSP 2018
国/地域China
CityShanghai
Period18/11/1918/11/21

ASJC Scopus subject areas

  • 信号処理

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