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Akademický článek

An asymptotically unbiased 3D source localisation method based on frequencies and angles measurements

Autor: Chenggeng Zhao, Heyue Huang, Xingpeng Mao, Junjie Lang, Xiuquan Dou

Publikováno v: IET Radar, Sonar & Navigation, Vol 18, Iss 11, Pp 2281-2294 (2024)

Abstract Based on frequency of arrival (FOA) and angle of arrival (AOA) measurements, the localisation of a moving source using a number of stationary stations is discussed. A closed‐form solution and bias reduction method using FOA and AOA measure

Externí odkaz: https://doaj.org/article/499b444619a440628f06ad300c77c7d2

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Akademický článek

A short wave radar beam sharpening method based on generalised oblique projection operator with flexible parameter

Autor: Xingpeng Mao, Ju Li, Heyue Huang, Yiming Wang, Junjie Lang

Publikováno v: IET Radar, Sonar & Navigation, Vol 18, Iss 7, Pp 1132-1144 (2024)

Abstract Beamforming is an effective way of resolving target direction and anti‐jamming in short wave (SW) radar systems. In conventional beamforming (CBF) at a certain frequency, to get high resolution, the array aperture should be increased, and

Externí odkaz: https://doaj.org/article/4c1d084eb42a461ea4eff6101df3c563

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Akademický článek

Novel Adversarial Unsupervised Subdomain Adaption Multi-Channel Deep Convolutional Network for Cross-Operating Fault Diagnosis of Rolling Bearings

Autor: Bo Zhang, Tianlong Huo, Zheng Liu, Baoquan Hu, Heyue Huang, Zehai Ren, Jianbo Ji

Publikováno v: IEEE Access, Vol 12, Pp 42068-42082 (2024)

Rolling bearings in production practice usually serve in a healthy state. Some fault state labels are scarce or even no labels, resulting in unbalanced data categories. Meanwhile, frequent working condition switching results in significant difference

Externí odkaz: https://doaj.org/article/9bd48f28b3564262add9dcd424d60499

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