Referenced Items are not available for this document.
This paper describes the first implementation of an adaptable knowledge-based neural network (AKBNN) model in a high efficiency class F MMIC (monolithic microwave integrated circuit) amplifier design at Ka-band in a 0.25 μm GaAs PHEMT technology. A single-stage amplifier based upon the AKBNN model employed shows comparable results to measured performance of a gain of 7.5 dB, a PAE of 35%, and an output power of 17 dBm.
Published in:
Microwave Symposium Digest, 2003 IEEE MTT-S International
(Volume:1
)
Date of Conference: 8-13 June 2003
- Page(s):
- 615 - 618 vol.1
- ISSN :
- 0149-645X
- Print ISBN:
- 0-7803-7695-1
- INSPEC Accession Number:
- 7680181
- Digital Object Identifier :
- 10.1109/MWSYM.2003.1211014
- Product Type:
- Conference Publications
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