الفهرس 
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Abstract
“Millimeter Wave Receiver Front End for Phased Array System”
Automated parasitic-aware simulation-based optimization design tool is presented in this thesis. Knowledge-aware simulation-based optimization and weighting factor methodologies are proposed to reach an optimal and speedy design. The optimization core uses Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimization methodology. Parasitic estimation is done before the sizing process to speed up the design and help obtain an optimum and efficient design. This parasitic estimation is done via a parasitic model generator which models both the interconnects’ effects on active devices and the non-linearities of passive devices. Compared to the state-of-the-art tools, the proposed tool gives limitless solutions when compared to template-based algorithms and a guaranteed converged solution compared to random optimization ones. The tool works in a wide range of RF frequencies. It uses the design of mm-wave front end receiver circuits of phased array systems, such as low noise amplifier (LNA), N-bits digitally controlled active phase shifter (PS), and current steering variable gain amplifier (VGA) using the 65nm CMOS technology as a validation of its efficiency. To our knowledge, it is the first reported automated tool used to design current steering VGA and active PSs. The output of the tool is generated at the output interface. The outputs are as listed, the circuit schematic, the optimal design parameters, and a generic layout with the GDSII file for further modifications.