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

Shunsuke Koshita, Keita Miyoshi, Masahide Abe, Masayuki Kawamata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538668115
DOIs
Publication statusPublished - 2019 Jan 31
Event23rd IEEE International Conference on Digital Signal Processing, DSP 2018 - Shanghai, China
Duration: 2018 Nov 192018 Nov 21

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2018-November

Conference

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

ASJC Scopus subject areas

  • Signal Processing

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