Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Shibo Yuan"'
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3215 (2024)
Accurately classifying the intra-pulse modulations of radar emitter signals is important for radar systems and can provide necessary information for relevant military command strategy and decision making. As strong additional white Gaussian noise (AW
Externí odkaz:
https://doaj.org/article/b4e9160d826845e0b69433cdefbb8e5c
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 108 (2023)
Radar emitter signal intra-pulse modulation recognition is important for modern electronic reconnaissance systems to analyze target radar systems. In the actual environment, the intra-pulse modulations of the sampled radar emitter signals contain not
Externí odkaz:
https://doaj.org/article/968b0f1e3f74427dbfa1c512362fffba
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 4998 (2023)
Solar generation has become increasingly important in grid applications. In order to improve the energy efficiency of the photovoltaic array (PV), factors such as temperature, nonlinear characteristics, and partial shadow conditions (PSCs) of the PV
Externí odkaz:
https://doaj.org/article/697b0754ef4944ff9a09092c9d83945f
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3690 (2022)
In the modern electromagnetic environment, the intra-pulse modulations of radar emitter signals have become more complex. Except for the single-component radar signals, dual-component radar signals have been widely used in the current radar systems.
Externí odkaz:
https://doaj.org/article/30d89f1b0fab4e4cb4c41dc0cc1832ee
Publikováno v:
Energies, Vol 15, Iss 14, p 5139 (2022)
In this paper, a novel adaptive second-order sliding mode (2-SM) control approach, based on online zero-crossing detection, was proposed to solve the problems of the chattering and fixed control gain for buck converters with multi-disturbances. In mo
Externí odkaz:
https://doaj.org/article/0e831b83351d42cda58c46407f7437f0
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1950 (2022)
To solve the difficulty associated with radar signal classification in the case of few-shot signals, we propose an adaptive focus loss algorithm based on transfer learning. Firstly, we trained a one-dimensional convolutional neural network (CNN) with
Externí odkaz:
https://doaj.org/article/474c7e5a32564b988ffbebd74d82386f
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2059 (2022)
Intra-pulse modulation classification of radar emitter signals is beneficial in analyzing radar systems. Recently, convolutional neural networks (CNNs) have been used in classification of intra-pulse modulation of radar emitter signals, and the resul
Externí odkaz:
https://doaj.org/article/eac40f4b0daa493d9b91131e253b0e0b
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2799 (2021)
The intra-pulse modulation of radar emitter signals is a key feature for analyzing radar systems. Traditional methods which require a tremendous amount of prior knowledge are insufficient to accurately classify the intra-pulse modulations. Recently,
Externí odkaz:
https://doaj.org/article/aa733653ac35445a8404ee1e82b93f96
Publikováno v:
Sensors, Vol 20, Iss 21, p 6350 (2020)
As the real electromagnetic environment grows complex and the quantity of radar signals turns massive, traditional methods, which require a large amount of prior knowledge, are time-consuming and ineffective for radar emitter signal recognition. In r
Externí odkaz:
https://doaj.org/article/28ca9cc6ef4148b3a689baed72e5495e
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb6b89b7f167845d9926125755d5a5f3
https://doi.org/10.1109/iecon49645.2022.9968510
https://doi.org/10.1109/iecon49645.2022.9968510