A novel low power MOSFET-C band pass filter for low frequency applications with subthreshold models based on polynomial regression

Ozenli D., Kuntman H. H.

ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, cilt.97, sa.1, ss.97-105, 2018 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 97 Sayı: 1
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1007/s10470-018-1227-0
  • Dergi Adı: ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.97-105
  • Anahtar Kelimeler: MOS only, MOS-C, Current mode, Polynomial regression, PCG, EMG, ECG, BIOMEDICAL APPLICATIONS, DESIGN
  • Marmara Üniversitesi Adresli: Hayır

Özet

A novel current mode MOSFET-C filter is presented for a wide range of low frequency applications ranging from biomedical signal sensing up to speech processing region. Presented filter consumes only 2.3 mu W with symmetrical supply voltages as low as +/- 0.5 V. The filter structure can be easily adjusted by means of changing external capacitor values. Furthermore, proposed filter is given with a novel design methodology based on polynomial regressive small signal models. In this way, promising interaction between design parameters such as V-GS, V-DS, channel width (W), channel length (L) and filter specifications such as f(0), Q and power is provided. Simulation results with 0.18 mu m TSMC CMOS technology are given, furthermore proposed filter is tested to process a real fetal PCG signal at 355.4 Hz. It is shown that proposed filter attains a promising performance in comparison with the previously presented counterparts for low frequency applications.