Abstract
We introduce a fast automatic sizing algorithm for a single-ended narrow-band CMOS cascode LNA adopting an inductive source degeneration based on an analytical approach without any optimization procedure. Analytical expressions for principle parameters are derived based on an ac equivalent circuit. Based on the analytical expressions and the power-constrained noise optimization criteria, the automatic sizing algorithm is developed. The algorithm is coded using Matlab, which is shown capable of providing a set of design variable values within seconds. One-time Spectre simulations assuming usage of a commercial 90 nm CMOS process are performed to confirm that the algorithm can provide the aimed first-cut design with a reasonable accuracy for the frequency ranging up to 5 GHz. This work shows one way how accurate automatic synthesis can be done in an analytical approach.
Highlights
In the field of RF transceiver design, there is a strong demand to digitalize even RF analog parts to mount a transceiver on a single chip [1,2] to utilize the capability of automatic synthesis in digital circuit design
We introduce a fast automatic sizing algorithm for a single-ended narrow-band CMOS cascode low noise amplifier (LNA) adopting an inductive source degeneration based on an analytical approach without any optimization procedure
We introduce a speedy automatic sizing algorithm for a single-ended narrow-band cascode LNA adopting inductive source degeneration based on an analytical approach without any optimization procedure
Summary
In the field of RF transceiver design, there is a strong demand to digitalize even RF analog parts to mount a transceiver on a single chip [1,2] to utilize the capability of automatic synthesis in digital circuit design. Many efforts have been done for design automation of LNA beforehand since the design of LNA is a time-consuming task that typically relies heavily on the experience of RF designers. LNA design automation can significantly simplify the design task, and opens a possibility towards digitalization. There are two basic methods for LNA design automation: simulation based or equation based. The simulation-based methods [3,4] are more accurate, they are time consuming due to optimization procedures. Equation-based methods [5,6,7] are faster, but are dependent on the accuracy of the models used. To overcome the disadvantages in some extent, advanced methods using both of equation-based and simulationbased approaches [8,9,10] have been suggested
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