DocumentCode
1276159
Title
Adaptive IIR filter design for single sensor applications
Author
Yeary, M.B. ; Griswold, N.C.
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
51
Issue
2
fYear
2002
fDate
4/1/2002 12:00:00 AM
Firstpage
259
Lastpage
267
Abstract
The goal of this research was to investigate the theoretical design and physical implementation of a digital adaptive IIR filter to serve as an enhancement to the traditional active RC or passive RLC anti-aliasing filter. This all-digital filter will reside directly on the DSP engine. As explained in the paper, the adaptive IIR filter is designed to process an oversampled signal coming from a single sensor to reject noise in an acquisition system. Differentiation between the noise and the signal is obtained by exploiting the different auto-correlation functions of the two signals. In contrast to oversampling techniques employed in sampled data systems that are designed to relax the requirements of an analog anti-aliasing filter, this filter will track a signal in the frequency domain. Several power spectral density plots are given to illustrate the performance of the new filter. The results also indicate that the new filter performs well as compared to the Wiener filter in the stationary case
Keywords
IIR filters; adaptive filters; antialiasing; data acquisition; digital filters; digital signal processing chips; electric sensing devices; integrated circuit noise; interference suppression; least squares approximations; signal sampling; DSP engine; Wiener filter; acquisition system; active RC anti-aliasing filter; adaptive IIR filter design; adaptive noise reduction; all digital filter; analog anti-aliasing filter; auto-correlation functions; digital adaptive IIR filter; filter performance; frequency domain signal tracking; least squares algorithm; noise rejection; noise/signal differentiation; oversampled signal processing; oversampling techniques; passive RLC anti-aliasing filter; physical implementation; power spectral density; sampled data systems; single sensor applications; Adaptive filters; Digital filters; Digital signal processing; Engines; IIR filters; Passive filters; Process design; Signal design; Signal processing; Wiener filter;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/19.997822
Filename
997822
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