A low power MOSFET-C filter for low frequency applications with polynomial regressive design

摘要

In this work, a novel current mode MOSFET-C filter is proposed for a wide range of low frequency applications from biomedical signal sensing up to speech processing region. Presented filter consumes only 2μW under 1V supply voltage. Besides, proposed filter is given with novel design methodology based on polynomial regressive small signal models. In this way, promising interaction between design parameters such as VGS, VDS, channel width (W) and channel length (L) and filter specs such as f0, Q and power is provided. Simulation results in 0.18μm CMOS technology are given and proposed filter is tested to process a real fetal PCG signal. It is shown that proposed filter attains a promising performance in comparison with the previously presented counterparts for low frequency applications.