Efficient Design of CMOS Bi-Quad BPF and Performance Evaluation Using MLP Neural Network for Bio-Medical Applications

Authors

  • T. Muruganantham Assistant Professor, Department of Electronics and Communication Engineering, K.Ramakrishnan College of Engineering, Trichy - 621112, Tamil Nadu, India
  • G. Mohan Professor, Department of Electrical Engineering, Annamalai University, Chidambaram, Tamil Nadu, India
  • M. Maheswari Professor, Department of Electronics and Communication Engineering, K.Ramakrishnan College of Engineering, Trichy - 621112, Tamil Nadu, India
  • Manjunathan Alagarsamy Assistant Professor, Department of Electronics and Communication Engineering, K.Ramakrishnan College of Technology, Trichy - 621112, Tamil Nadu, India

Keywords:

Biquad Analog filter, Third order input intercepts point (TIIP3), Multi layer perceptron, output noise, Gm-C structure

Abstract

Development of chip design includes analog, digital and mixed signal IC design and filters are the main part of it. In this article, performance measure of Gm-C based structure of a CMOS biquad filter for suitable wireless applications using ANN was examined. This paper proposes the CMOS based biquad analog bandpass continuous time filter with low power consumption. This proficient analog filter is designed using cadence with 90nm technology. The achieved gain of the proposed biquad filter is4.73 dB for310Hz to 2.7KHz by the projected structure and the planned filter topology ultimately suppresses the noise with 1.2uV/Sqrt(Hz). It also achieves IIP3(Third order input intercept point) of 3.4dB at1.8v.The proposed Gm-C based structure produces enhanced linearity and gain and the established design is validated by comparison its results using Multilayer perceptron neural network with Back propagation algorithm. It is inferred that MLP also produces comparable results with that of cadence simulation.

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Proposed biquadbandpass filter with NMOSand PMOS structure

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Published

16.12.2022

How to Cite

Muruganantham, T. ., Mohan, G. ., Maheswari, M. ., & Alagarsamy, M. . (2022). Efficient Design of CMOS Bi-Quad BPF and Performance Evaluation Using MLP Neural Network for Bio-Medical Applications. International Journal of Intelligent Systems and Applications in Engineering, 10(4), 313–319. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/2264

Issue

Vol. 10 No. 4 (2022)

Section

Research Article

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