Research on High Precision FFT Pre Scan Technology Based on RBW Adaptation

Yangqi Han; Yaqing Zheng; Jing Hu; Yajuan Chen

doi:10.1117/12.3010849

2 November 2023 Research on High Precision FFT Pre Scan Technology Based on RBW Adaptation

Yangqi Han, Yaqing Zheng, Jing Hu, Yajuan Chen

Proceedings Volume 12919, International Conference on Electronic Materials and Information Engineering (EMIE 2023); 1291911 (2023) https://doi.org/10.1117/12.3010849
Event: 3rd International Conference on Electronic Materials and Information Engineering (EMIE 2023), 2023, Guangzhou,, China

Abstract

Resolution Bandwidth (RBW) represents the difference of the lowest bandwidth between two signals with different frequencies that can be clearly distinguished, which determines the minimum resolvable frequency of Fast Fourier transform (FFT). In the pre scanning of electromagnetic interference (EMI), it will have some impact on the frequency characteristic diagram obtained from the pre scanning - reducing the frequency resolution. In order to ensure fast, highprecision and high accuracy FFT pre scanning, it is a Committed step to study the effect of RBW on frequency characteristics. The classic evaluation of EMI pre scanning accuracy mainly starts from the amplitude accuracy and frequency accuracy at the characteristic frequency in the amplitude frequency map. The RBW value has a significant impact on the overall spectrum amplitude and frequency accuracy, directly affecting the FFT pre-scan accuracy. The RBW value has a direct impact on the windowed FFT pre scan amplitude frequency diagram. For the dynamic condition problem of new energy vehicles, the signal is always changing, so it is necessary to study the RBW optimal solution to deal with different signals or Window function to achieve RBW adaptation.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yangqi Han, Yaqing Zheng, Jing Hu, and Yajuan Chen "Research on High Precision FFT Pre Scan Technology Based on RBW Adaptation", Proc. SPIE 12919, International Conference on Electronic Materials and Information Engineering (EMIE 2023), 1291911 (2 November 2023); https://doi.org/10.1117/12.3010849

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KEYWORDS

Signal to noise ratio

Windows

Electromagnetic coupling

Interference (communication)

Matrices

Signal processing

Analytics

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