Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Nicholas E. Buris"'
Publikováno v:
Progress In Electromagnetics Research C. 108:171-185
Autor:
Chengyi Chu, Nicholas E. Buris
Publikováno v:
Progress In Electromagnetics Research M. 102:233-241
Publikováno v:
IEEE Systems Journal. 14:614-620
Massive multiple-input multiple-output (MIMO) is a key promising technology for 5G wireless networks that allows significant increase in spectral and energy efficiency without increasing the spectrum and/or the number of cell sites. However, the comp
Publikováno v:
Progress In Electromagnetics Research C. 98:1-16
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
Electronics, Vol 10, Iss 1057, p 1057 (2021)
Electronics
Volume 10
Issue 9
Electronics
Volume 10
Issue 9
Antenna element mutual coupling degrades the performance of Direction of Arrival (DoA) estimation significantly. In this paper, a novel machine learning-based method via Neural Tangent Kernel (NTK) is employed to address the DoA estimation problem un
Autor:
Qifeng Wang, Nicholas E. Buris
Publikováno v:
2020 International Symposium on Antennas and Propagation (ISAP).
This paper describes Direction-of-Arrival (DoA) estimation on a Multiple Input Multiple Output (MIMO) enabled handset. A 4-port antenna system is used in a realistic handset and all the electromagnetic effects are taken into consideration, including
Publikováno v:
2020 IEEE Asia-Pacific Microwave Conference (APMC).
In this paper, we employ a Gaussian Process Regression method based on the Polynomial Root Finding technique (PRF-GPR) to address the Direction of arrival (DoA) problem. Arrays whose electromagnetic coupling is taken into account in an exact way are
Autor:
Nicholas E. Buris, Xiaolin Hu
Publikováno v:
2020 IEEE Asia-Pacific Microwave Conference (APMC).
We employ a class of deep learning, known as Physics Informed Neural Networks (PINNs), to solve rectangular waveguide problems. In particular, we successfully apply PINNs to the task of solving electric and magnetic fields, which can be described by
Publikováno v:
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting.
This paper describes a drone assisted method to perform simplified 3D reconstruction of real-world buildings for Ray Tracing (RT) and wireless system analyses. The efficiency of the method is assessed via the accuracy in predicting the RF coverage an