A software sampling frequency adaptive algorithm for reducing spectral leakage |
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Authors: | Pan Li-dong and Wang Fei |
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Affiliation: | (1) College of Electronic and Information Engineering, Hebei University, Baoding, 071002, China |
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Abstract: | Spectral leakage caused by synchronous error in a nonsynchronous sampling system is an important cause that reduces the accuracy
of spectral analysis and harmonic measurement. This paper presents a software sampling frequency adaptive algorithm that can
obtain the actual signal frequency more accurately, and then adjusts sampling interval base on the frequency calculated by
software algorithm and modifies sampling frequency adaptively. It can reduce synchronous error and impact of spectral leakage;
thereby improving the accuracy of spectral analysis and harmonic measurement for power system signal where frequency changes
slowly. This algorithm has high precision just like the simulations show, and it can be a practical method in power system
harmonic analysis since it can be implemented easily.
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Translated from Journal of North China Electric Power University, 2005, 32(6): 5–8 (in Chinese) |
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Keywords: | sampling frequency spectral leakage synchronous error self-adaptive harmonic analysis |
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