Environmental Interference Suppression by Hybrid Segmentation Algorithm for Open-Area Electromagnetic Capability Testing

Yang, Shun; Chen, Shuai; Zhang, Fan; Yang, Xiaqing; Shi, Jun; Zhang, Xiaoling

doi:10.3390/app14072703

Open AccessArticle

Environmental Interference Suppression by Hybrid Segmentation Algorithm for Open-Area Electromagnetic Capability Testing

by

Shun Yang

^1,2,

Shuai Chen

¹,

Fan Zhang

^1,*

,

Xiaqing Yang

³

,

Jun Shi

¹ and

Xiaoling Zhang

¹

School of Information and Communication Engineering, Qingshuihe Campus, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China

²

AVIC Chengdu Aircraft Industrial (Group) Co., Ltd., Chengdu 610041, China

³

School of Resources and Environment, Qingshuihe Campus, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China

^*

Author to whom correspondence should be addressed.

Appl. Sci. 2024, 14(7), 2703; https://doi.org/10.3390/app14072703

Submission received: 18 January 2024 / Revised: 14 March 2024 / Accepted: 20 March 2024 / Published: 23 March 2024

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Abstract

Compared with electromagnetic compatibility (EMC) testing in anechoic rooms, open-area EMC testing takes advantage of in situ and engine running status measurement but suffers from non-negligible external electromagnetic interference. This paper proposes a novel environmental interference suppression method (named the EMC environmental interference suppression algorithm (

E^{2} I S A

)) that separates signals from backgrounds via image segmentation and recognizes the near–far site signal via a group of time-varying features based on the difference in the near-site EM radiative characteristic. We find that the proposed

E^{2} I S A

method, which combines the deep learning segmentation network with the classical recognition methods, is able to suppress environmental interference signals accurately. The experiment results show that the accuracy of

E^{2} I S A

reaches up to 95% in the face of VHF (Very High Frequency) EMC testing tasks.

Keywords: open-area EMC testing; near–far site; image segmentation; time–frequency spectrum

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MDPI and ACS Style

Yang, S.; Chen, S.; Zhang, F.; Yang, X.; Shi, J.; Zhang, X. Environmental Interference Suppression by Hybrid Segmentation Algorithm for Open-Area Electromagnetic Capability Testing. Appl. Sci. 2024, 14, 2703. https://doi.org/10.3390/app14072703

AMA Style

Yang S, Chen S, Zhang F, Yang X, Shi J, Zhang X. Environmental Interference Suppression by Hybrid Segmentation Algorithm for Open-Area Electromagnetic Capability Testing. Applied Sciences. 2024; 14(7):2703. https://doi.org/10.3390/app14072703

Chicago/Turabian Style

Yang, Shun, Shuai Chen, Fan Zhang, Xiaqing Yang, Jun Shi, and Xiaoling Zhang. 2024. "Environmental Interference Suppression by Hybrid Segmentation Algorithm for Open-Area Electromagnetic Capability Testing" Applied Sciences 14, no. 7: 2703. https://doi.org/10.3390/app14072703

APA Style

Yang, S., Chen, S., Zhang, F., Yang, X., Shi, J., & Zhang, X. (2024). Environmental Interference Suppression by Hybrid Segmentation Algorithm for Open-Area Electromagnetic Capability Testing. Applied Sciences, 14(7), 2703. https://doi.org/10.3390/app14072703

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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Environmental Interference Suppression by Hybrid Segmentation Algorithm for Open-Area Electromagnetic Capability Testing

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