Zobrazeno 1 - 10
of 39
pro vyhledávání: '"JinPei Yu"'
Publikováno v:
Sensors, Vol 24, Iss 19, p 6375 (2024)
In response to the conflicting demands between real-time satellite communication and high-resolution synthetic aperture radar (SAR) imaging, we propose a method that aligns the data transmission rate with the imaging data volume. This approach balanc
Externí odkaz:
https://doaj.org/article/0ee31b1d1381457c84a887832360bfea
Publikováno v:
Future Internet, Vol 15, Iss 3, p 114 (2023)
Satellite image compression technology plays an important role in the development of space science. As optical sensors on satellites become more sophisticated, high-resolution and high-fidelity satellite images will occupy more storage. This raises t
Externí odkaz:
https://doaj.org/article/7e1dd9183bb9454792a35b195813ab91
Publikováno v:
Aerospace, Vol 10, Iss 2, p 201 (2023)
Since deep space exploration tasks, such as space gravitational wave detection, put forward increasingly higher requirements for the satellite platform, the scale and complexity of the satellite management unit (SMU) software are also increasing, and
Externí odkaz:
https://doaj.org/article/af06172a1d634dbba3d321ec7481c230
Publikováno v:
Aerospace, Vol 10, Iss 1, p 88 (2023)
On-orbit object detection has received extensive attention in the field of artificial intelligence (AI) in space research. Deep-learning-based object-detection algorithms are often computationally intensive and rely on high-performance devices to run
Externí odkaz:
https://doaj.org/article/963ea9943d314040857740ca20de4b2d
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 6255 (2022)
The recently-emerging compressed sensing (CS) theory makes GNSS signal processing at a sub-Nyquist rate possible if it has a sparse representation in certain domain. The previously proposed code-domain compression acquisition algorithms have high com
Externí odkaz:
https://doaj.org/article/3a5128bc273646ec8fa8d68d8e3071e9
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 5866 (2022)
Due to the sparsity of GNSS signal in the correlation domain, compressed sensing theory is considered to be a promising technology for GNSS signal acquisition. However, the detection probability of the traditional compression acquisition algorithm is
Externí odkaz:
https://doaj.org/article/d8d7cfacae85488699463731482f5377
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 12 (2016)
Widely linear (WL) adaptive beamforming algorithms are proposed based on constrained minimum variance (CMV) and constrained constant modulus (CCM) criteria, respectively, to fully exploit both the desired signal and interferences' noncircularity. Mod
Externí odkaz:
https://doaj.org/article/77ab2b29ad98436089fc4784067ae8e4
Publikováno v:
IEEE Journal on Selected Areas in Communications. 41:1496-1515
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df05320f3c19bbf9af84b6d336119f36
https://doi.org/10.1109/jsac.2023.3240714
https://doi.org/10.1109/jsac.2023.3240714
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-13
Space-based Internet of Things (S-IoT) utilizes the characteristics of satellite network coverage, strong antidestructiveness, and full-time work to realize large-scale sensing and interconnection of everything in the sky, land, sea, and air. The use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8279c9f2a97653264f1661cf9eb3471
https://doi.org/10.1155/2022/8206660
https://doi.org/10.1155/2022/8206660
Publikováno v:
IEEE Signal Processing Letters. 29:1372-1376
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd4330c232051d33110271c9385d6cea
https://doi.org/10.1109/lsp.2022.3181783
https://doi.org/10.1109/lsp.2022.3181783