Design of a Neural Network-Based VCO With High Linearity and Wide Tuning Range

Rui Guo, Kun Qian, Jinping Wei, Tupei Chen, Yanchen Liu, Deyu Kong, Junjie Wang, Yuancong Wu, Shaogang Hu, Qi Yu, Yang Liu

Abstract: 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%.