Research Article
High-Precision Harmonic Analysis Algorithm Based on Five-Term MSD Second-Order Self-convolution Window Four-Spectrum Line Interpolation
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@INPROCEEDINGS{10.1007/978-3-030-62483-5_32, author={Yang Qingjiang and Qu Xiangxiang}, title={High-Precision Harmonic Analysis Algorithm Based on Five-Term MSD Second-Order Self-convolution Window Four-Spectrum Line Interpolation}, proceedings={Green Energy and Networking. 7th EAI International Conference, GreeNets 2020, Harbin, China, June 27-28, 2020, Proceedings}, proceedings_a={GREENETS}, year={2020}, month={11}, keywords={Harmonic analysis Five-term MSD self-convolution window Four-spectrum line interpolation Polynomial fitting}, doi={10.1007/978-3-030-62483-5_32} }- Yang Qingjiang
Qu Xiangxiang
Year: 2020
High-Precision Harmonic Analysis Algorithm Based on Five-Term MSD Second-Order Self-convolution Window Four-Spectrum Line Interpolation
GREENETS
Springer
DOI: 10.1007/978-3-030-62483-5_32
Abstract
For the frequency spectrum leakage and fence effect generated in Fast Fourier Transform (FFT) during asynchronous sampling and integral period truncation affect the precision of harmonic detection, a new algorithm for harmonic analysis based on four-spectrum-line interpolation FFT with second-order self-convolution window with five-term Maximum-Sidelobe-Decay (MSD) was proposed and the polynomial fitting method was used to construct the four-spectrum-line interpolation correction formula. The simulation results showed that this algorithm could improve the detection accuracy of amplitude, phase and frequency by 1-2 orders of magnitude compared with other commonly used windowed interpolation algorithms.
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