Open AccessPerformance enhancement of a VCO using symbolic modelling and optimisation
Author(s) -
Panda Madhusmita,
Patnaik Santosh Kumar,
Mal Ashis Kumar
Publication year - 2018
Publication title -
iet circuits, devices and systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 49
ISSN - 1751-8598
DOI - 10.1049/iet-cds.2017.0271
Subject(s) - voltage controlled oscillator , phase noise , spice , electronic engineering , cmos , noise (video) , engineering , voltage , computer science , electrical engineering , artificial intelligence , image (mathematics)
This study proposed an application of symbolic technique on the characterisation of a ring voltage controlled oscillator (VCO) for optimum performance. Here nullor‐based symbolic noise modelling and analysis of the CMOS ring VCO is carried out. Circuit equations are processed through modelling of all the metal–oxide–semiconductor field‐effect transistors with their nullor equivalent. The closed‐form expressions for the total output noise density and phase noise of VCO are obtained. With this technique, the total output noise density and phase noise calculated are compared with the results obtained from the transistor‐level simulation. From the comparison, it has been observed that the nullor‐based modelling and analysis simplifies the noise expression as well as reduces CPU execution time. The performance enhancement of the VCO is carried out using two different optimisation techniques. These are particle swam optimisation and non‐dominated sorting genetic algorithm. The results obtained for the optimised VCO are then tested using SPICE. The SPICE result shows a significant improvement in phase noise, power consumption and tuning range for the optimised VCO.