Zobrazeno 1 - 10
of 25
pro vyhledávání: '"H.L. Southall"'
Autor:
H.L. Southall, R.J. Mailloux
Publikováno v:
IEEE Antennas and Propagation Magazine. 39:27-32
The Butler matrix and the neural network have been compared to provide insights about the neural-network behavior for a direction-finding array. The goal of the paper has been tutorial, since the two systems are only really comparable in the very lim
Publikováno v:
IEEE Transactions on Magnetics. 33:735-738
The steering properties of a circular patch antenna array fabricated on a yttrium-iron-garnet substrate containing 6/spl times/6 elements have been calculated. The formulation assumes the interaction between patch elements can be neglected. Also, the
Publikováno v:
IEEE Transactions on Antennas and Propagation. 43:1369-1374
Adaptive neural network processing of phased-array antenna received signals promises to decrease antenna manufacturing and maintenance costs while increasing mission uptime and performance between repair actions. We introduce one such neural network
Publikováno v:
IEEE Antennas and Propagation Society Symposium, 2004..
A novel airborne shaped-beam antenna is designed with a robust genetic algorithm-based pattern synthesis technique. The NEC-BSC Code, a well-known high-frequency electromagnetic solver, is used to take into account the platform scattering.
Publikováno v:
IEEE Antennas and Propagation Society International Symposium. 1999 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (Cat. No.99CH37010).
This paper discusses an experimental neural network based smart antenna capable of performing direction finding. A cylindrical eight-element phased array antenna is used to collect complex signals radiated by two sources. Three direction of arrival (
Autor:
H.L. Southall
Publikováno v:
Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.
This paper is a summary of our research on applying neural network based signal processing to array antenna problems which we call neural beamforming. The objective is to train the network at certain training angles within the antenna field of view s
Publikováno v:
Proceedings International Radar Conference.
The goal of neural beamforming is to design neural processing algorithms which adapt to low cost phased array antennas, even when they behave non-linearly, are imperfectly manufactured, or become degraded. Neural beamforming techniques have the poten
Publikováno v:
Electronics Letters. 31:298-299
The authors introduce techniques for synthesising realistic multiple source antenna ‘measurements’ from single source measurements and for recalibrating single source baseline measurements after subsequent array failure. Synthesised data are comp
Autor:
H.L. Southall
We have developed neural network based signal processing techniques for array antennas. The objective is to train the network at angles within the antenna field of view to perform the desired antenna function with arrays which cost less to manufactur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77a9af7cd6afdec4a63a974f971bdcfa
https://zenodo.org/record/1264522
https://zenodo.org/record/1264522
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