New Method for Designing Analog Circuits in Deep Sub-micron CMOS Technology
In the field of semiconductor technology, designing analog circuits for deep sub-micron CMOS fabrication processes has always presented challenges. In this work, a new method is proposed that aims to streamline and expedite the design process, without relying on simulation software.
The key idea behind this method is the utilization of regression algorithms in conjunction with the transistor circuit model. By leveraging this approach, the sizing of a transistor in 0.18 um technology becomes faster and more efficient.
Addressing Nonlinear Parameters in Nano-scale Transistors
When it comes to nano-scale transistors, it becomes increasingly difficult to predict the behavior of key parameters such as threshold voltage, output resistance, and the product of mobility and oxide capacitance. Traditionally, circuit simulators have been relied upon to determine the values of these parameters.
However, this reliance on simulation software significantly increases design time. To overcome this challenge, the proposed method employs regression analysis to predict the values of these parameters, obviating the need for extensive simulations.
Performance Validation with Current Feedback Instrumentational Amplifier (CFIA)
To gauge the effectiveness of this new method, a Current Feedback Instrumentational Amplifier (CFIA) is designed and implemented using the proposed approach. The results are highly encouraging.
The accuracy achieved in predicting the desired value of W, a key parameter in transistor sizing, exceeds 90%. Moreover, this method reduces design time by over 97% when compared to conventional methods that rely on circuit simulations.
Impressive Circuit Performance Results
The designed circuit using this novel method exhibits impressive performance characteristics. It consumes a mere 5.76 uW of power, which is exceptionally low. Additionally, it boasts a Common Mode Rejection Ratio (CMRR) of 35.83 dB and achieves a gain of 8.17 V/V.
Overall, the application of this new method for designing analog circuits in deep sub-micron CMOS technology shows great promise. Its ability to accurately predict transistor parameters and significantly reduce design time makes it a valuable addition to the semiconductor industry.