Theerachet Soorapanth

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| This paper presents a novel RF IC varactor implemented in standard CMOS process. This device has shown a remarkable tuning range of 150, sensitivity of 300V, and quality factor of 23 at 1 GHz. A physical model of the varactor is presented and connrmed with measured data. Using the model derived, optimization has shown that a Q as high as 200 can be(More)
—A CMOS transceiver fully compliant with IEEE 802.11a in the unlicensed national information infrastructure (UNII) band (5.15–5.35 GHz) achieves a receiver sensitivity of 5 dBm for 64-QAM (quadrature amplitude modulation) with an error vector magnitude (EVM) of 29.3 dB. A single-sideband mixing technique for local-oscillator signal generation avoids(More)
This paper considers an optimization of weight factors in a multi-objective circuit design problem. The procedure is based on formulating the problem as a multi-objective geometric program (MOGP). Generally, solving the problem via GP requires multiple objectives be combined into a scalar objective by weighing the individual objectives with arbitrary, fixed(More)
iii I certify that I have read this dissertation and that in my opinion it is fully adequate, in scope and quality, as dissertation for the degree of Doctor of Philosophy. I certify that I have read this dissertation and that in my opinion it is fully adequate, in scope and quality, as dissertation for the degree of Doctor of Philosophy. I certify that I(More)
This paper provides a study into the impact of weight factors selection in a multi-objective geometric programming (MOGP) optimization. Typically, when solving a multi-objective design problem, a designer would arbitrarily assign weight factors based on his/her perception of each objective's significance, e.g. assigning higher weights to the more important(More)
This paper provides insights into the impact of weight factors in multi-objective geometric programming (MOGP) optimization. Optimization of the weight factors is also considered. Generally, solving the multi-objective problem via geometric programming requires multiple objectives be combined into a scalar objective by weighing the individual objectives(More)
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