Presentation 2001/10/18
Improvement on Accuracy of Adaptive Frequency Estimation by Direct Sampling Control
Kentaro NOGUCHI, Yoshiaki TADOKORO,
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Abstract(in English) As one of the applications for digital signal processing based on the time domain control, we have considered an adaptive frequency estimation algorithm for sinusoidal signals in additive noises. The proposed algorithms were implemented by the oversampling processing to control the time domain of the signal. Therefore, there is a problem that it has additions. This paper introduces an adaptive frequency estimation algorithm with a small amount of calculation, where the sampling frequency is directly controlled. This method using an FIR notch filter is based on a gradient algorithm to make the output signal zero. To improve the estimation accuracy we use an IIR bandpass filter, which can reduce the noise components. Simulations are presented to make clear the performance of the proposed method, and it leads that it can estimate the input frequency accurately, and the computational complexity is very low.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Direct sampling control / Adaptive frequency estimation / Notch filter / Bandpass filter
Paper # DSP2001-106,ICD2001-111,IE2001-90
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Conference Information
Committee DSP
Conference Date 2001/10/18(1days)
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Paper Information
Registration To Digital Signal Processing (DSP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improvement on Accuracy of Adaptive Frequency Estimation by Direct Sampling Control
Sub Title (in English)
Keyword(1) Direct sampling control
Keyword(2) Adaptive frequency estimation
Keyword(3) Notch filter
Keyword(4) Bandpass filter
1st Author's Name Kentaro NOGUCHI
1st Author's Affiliation Faculty of Engineering, Toyohashi University of Technology()
2nd Author's Name Yoshiaki TADOKORO
2nd Author's Affiliation Faculty of Engineering, Toyohashi University of Technology
Date 2001/10/18
Paper # DSP2001-106,ICD2001-111,IE2001-90
Volume (vol) vol.101
Number (no) 383
Page pp.pp.-
#Pages 6
Date of Issue