Details of Grant 

EPSRC Reference:	GR/L26605/01
Title:	LARGE SIGNAL CHARACTERISATION AND DESIGN OF MILLIMETRE-WAVE INTEGRATED CIRCUITS
Principal Investigator:	Snowden, Professor C
Other Investigators:	Howes, Professor M
Researcher Co-Investigators:
Project Partners:
Department:	Electronic and Electrical Engineering
Organisation:	University of Leeds
Scheme:	Standard Research (Pre-FEC)
Starts:	17 October 1996	Ends:	16 March 1997	Value (£):	14,936
EPSRC Research Topic Classifications:
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Related Grants:
Panel History:
Summary on Grant Application Form
The project at Leeds centres around the large-signal characterisation and the development of 38 GHz monolithic power amplifier designs. A highly efficient large-signal physical pHEMT model is being developed and coupled to a physics-based non-linear equivalent circuit model, interfaced to non-linear CAD software for mm-wave circuit design. The model is being applied to both discrete and integrated devices with validation being performed using on-wafer measurements. A fully automated on-wafer load-pull and intermodulation distortion measurement system is being developed to characterise pHEMTs and the finished monolithic 38 GHz power amplifiers (this is a unique facility with Europe). The amplifiers are being designed for fabrication using the GMMT H40 pHEMT process. The finished designs will form part of a complete transmitter-receiver demonstrator system, together with sub-systems from the project partners at Kings College London and Queens University Belfast.The project has suffered delays due to lengthy contractual exchanges between EPSRC (DRAL) and GMMT, which set back the schedule for the delivery of the MMICs from the first fabrication run by 5 months. Although progress has continued on the development of the model, non-linear simulation and measurement system, the delay in supply of the first fabricated designs means that, in the absence of a funded extension, it will not be possible to evaluate and characterise the final designs (2nd fabrication run), which in turn will prevent IMD characterisation and full validation of the models.
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Organisation Website:	http://www.leeds.ac.uk