DocumentCode
1443007
Title
An almost leakage free method for assessing Σ-Δ modulator spectra
Author
Breitenbach, Arvid ; Kale, I.
Author_Institution
Lehrstuhl fur Elektrische Messtech., Tech. Univ. Munchen, Germany
Volume
47
Issue
1
fYear
1998
fDate
2/1/1998 12:00:00 AM
Firstpage
40
Lastpage
44
Abstract
This paper addresses the problem of spectral analysis of Σ-Δ modulator output spectra. Often, data containing a periodic signal are evaluated using fast-Fourier-transform (FFT) based spectral analysis. If the data set is not sampled coherently, long- and short-range leakage can hamper or prevent the frequency domain analysis, particularly if frequencies near the excitation sine frequency are of interest. Techniques such as windowing or coherent sampling help, but unfortunately may add their own effects to the spectra under scrutiny. Where coherent sampling is not easily possible, another approach to reliable spectrum analysis is a hybrid computation of the spectrum using the output bit stream from a Σ-Δ modulator. This will yield spectral information and an assessment of modulator performance. The method is demonstrated on MATLAB simulated Σ-Δ modulator bit-stream data from a single-loop, first order modulator as well as a single-loop, third order modulator, both excited by a multitone sinusoidal excitation
Keywords
computer aided analysis; digital simulation; electronic engineering computing; fast Fourier transforms; sigma-delta modulation; signal sampling; spectral analysis; FFT; MATLAB; bit-stream data; coherent sampling; excitation sine frequency; fast-Fourier-transform; first order modulator; frequency domain analysis; hybrid computation; long-range leakage; multitone sinusoidal excitation; output bit stream; periodic signal; short-range leakage; sigma delta modulator; single-loop; spectral analysis; third order modulator; windowing; Analytical models; Computational modeling; Delta modulation; Distributed computing; Frequency domain analysis; MATLAB; Mathematical model; Power system harmonics; Sampling methods; Spectral analysis;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/19.728786
Filename
728786
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