A Monolithic Gm-C Filter based Very Low Power, Programmable, and Multi-Channel Harmonic Discrimination System using Analog Signal Processing

Author

Gavin Benjamin Long, University of TennesseeFollow

Date of Award

5-2019

Degree Type

Thesis

Degree Name

Master of Science

Major

Electrical Engineering

Major Professor

Benjamin J. Blalock

Committee Members

M. Nance Ericson, Charles L. Britton, Syed K. Islam

Abstract

A highly selective monolithic band-pass filter with programmable characteristics at micro-power operation is presented. Very low power signal processing is of great interest in wireless sensing and Internet-of-Things applications. This filter enables long-term battery powered operation of a highly selective harmonic signal discriminator for an analog signal processing system. The Gm-C biquadratic circuits were fabricated in a 0.18-μm [micrometer] CMOS process. Each 2nd-order biquad filter nominally consumes 20 μW [microwatt] and can be programmed for the desired gain (0db3dB), quality factor (5 to 20), and center-frequency from 1kHz to 100kHz. The 8th-order filter channel achieved an effective quality factor of 30 at 100kHz with an overall power consumption of 108 μW.

Recommended Citation

Long, Gavin Benjamin, "A Monolithic Gm-C Filter based Very Low Power, Programmable, and Multi-Channel Harmonic Discrimination System using Analog Signal Processing. " Master's Thesis, University of Tennessee, 2019.
https://trace.tennessee.edu/utk_gradthes/5481