Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Uday K. Khankhoje"'
We present a deep neural network-based framework for designing multi-band microstrip antennas given a desired impedance matching spectrum. The approach enables a design methodology that generates the desired antenna structures rapidly (under a second
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34570e2026318e560608a4489d35aed9
https://doi.org/10.36227/techrxiv.22336060
https://doi.org/10.36227/techrxiv.22336060
Autor:
Uday K. Khankhoje, Bhargav Ghanekar
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-11
Publikováno v:
2022 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON).
Efficient Mutual-Coupling Aware Fault Diagnosis of Phased Array Antennas Using Optimized Excitations
Antenna fault diagnosis for phased antenna arrays is an important research area since faulty elements deteriorate the expected field pattern, leading to degraded performance in various applications. While several compressive sensing-based techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1a5455171a0e75b07aface512bfc010
https://biblio.vub.ac.be/vubir/efficient-mutualcoupling-aware-fault-diagnosis-of-phased-array-antennas-using-optimized-excitations(8a539f81-2330-456c-88f4-c539ded676c1).html
https://biblio.vub.ac.be/vubir/efficient-mutualcoupling-aware-fault-diagnosis-of-phased-array-antennas-using-optimized-excitations(8a539f81-2330-456c-88f4-c539ded676c1).html
Publikováno v:
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI).
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 18:62-66
Reconstructing the permittivity of dispersive scatterers from the measurements of scattered electromagnetic fields is a challenging problem due to the nonlinearity of the associated optimization problem. Traditionally, this has been addressed by coll
Publikováno v:
IEEE Transactions on Computational Imaging. 6:46-56
In this paper, we introduce a deep-learning-based framework to solve electromagnetic inverse scattering problems. This framework builds on and extends the capabilities of existing physics-based inversion algorithms. These algorithms, such as the cont
Publikováno v:
IEEE Transactions on Wireless Communications. :1-1
Publikováno v:
Journal of Lightwave Technology. 37:5875-5884
Estimation of the accurate value of Brillouin frequency shift (BFS) in a Brillouin optical correlation domain analysis (BOCDA) is challenging due to the contributions to the Brillouin gain spectrum (BGS) from the locations other than corresponding to
Publikováno v:
Teaching Electromagnetics ISBN: 9781003149231
Teaching Electromagnetics
Teaching Electromagnetics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4d904a5d2a9f2a1ba17493d09b4b9dc
https://doi.org/10.1201/9781003149231-12
https://doi.org/10.1201/9781003149231-12