Design of a neural network-based VCO with high linearity and wide tuning range

• المؤلفون الرئيسيون: Guo, Rui, Qian, Kun, Wei, Jinping, Chen, Tupei, Liu, Yanchen, Kong, Deyu, Wang, J. J., Wu, Yuancong, Hu, S. G., Yu, Qi, Liu, Yang
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2019
• الموضوعات: LC-VCO; Neural Network; DRNTU::Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/106452; http://hdl.handle.net/10220/48929; http://dx.doi.org/10.1109/ACCESS.2019.2915335
• المؤسسة: Nanyang Technological University

In this paper, a 2 GHz LC-VCO with neural network (Multilayer Perceptron) has been designed in a 0.13 ţm CMOS technology. With the integrated neural network, the linearity and tuning range of the LC-VCO has been substantially improved. Compared to a conventional VCO design, the proposed technique can improve the linearity by selecting optimized bias voltages obtained from the output of the neuron network. The result shows that the tuning nonlinearity of the proposed VCO is further optimized from 0.335% to 0.254%.