Presentation 1999/12/17
Tracking Analysis of a Gradient-Based Adaptive IIR Notch Filter with Constrained Poles and Zeros
Yoshihiro Takeshita, Yegui Xiao, Katsunori Shida,
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Abstract(in English) Gradient-type algorithms for adaptive IIR notch filters are very attractive in terms of performance and computation cost as well. However, it is generally quite difficult to assess their performances analytically. There are several trials to analyze their steady-state properties. Their tracking properties, however, have not been investigated yet. This paper analyzes, for the first time, the tracking properties of a gradient-based adaptive IIR notch filter with constrained poles and zeros for a linear chirped sinusoid in noise. Closed form expressions for the asymptotic tracking error and the mean square error (MSE) of frequency estimate are derived. First, theoretical expressions for asymptotic output signal of the notch filter and its corresponding gradient filter are developed based on Taylor series expansions of these two filters in the vicinity of the instantaneous signal frequency. Difference equations governing convergences in the mean and mean square of the algorithm are then established, and the asymptotic tracking error and MSE of the algorithm are derived from them. Extensive simulations are provided to support the analytical findings.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Adaptive IIR notch filters / Gradient algorithm / Tracking analysis
Paper # DSP99-150
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Conference Information
Committee DSP
Conference Date 1999/12/17(1days)
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Registration To Digital Signal Processing (DSP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Tracking Analysis of a Gradient-Based Adaptive IIR Notch Filter with Constrained Poles and Zeros
Sub Title (in English)
Keyword(1) Adaptive IIR notch filters
Keyword(2) Gradient algorithm
Keyword(3) Tracking analysis
1st Author's Name Yoshihiro Takeshita
1st Author's Affiliation Graduate school of Science and Engineering, Saga University()
2nd Author's Name Yegui Xiao
2nd Author's Affiliation Faculty of Human Life and Environmental Science, Hiroshima Women's University
3rd Author's Name Katsunori Shida
3rd Author's Affiliation Graduate school of Science and Engineering, Saga University
Date 1999/12/17
Paper # DSP99-150
Volume (vol) vol.99
Number (no) 505
Page pp.pp.-
#Pages 8
Date of Issue