About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Proceedings of the 3rd International Conference on Mechanics, Electronics Engineering and Automation, ICMEEA 2026, April 24-26, 2026, Singapore, Singapore

Research Article

Comparative Analysis of First-Order, Second-Order, and Fourth-Order Low-Pass Filters in Amplitude Modulation Synchronous Demodulation Systems

Download12 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.24-4-2026.2364975,
        author={Gujiacheng  Tang},
        title={Comparative Analysis of First-Order, Second-Order, and Fourth-Order Low-Pass Filters in Amplitude Modulation Synchronous Demodulation Systems},
        proceedings={Proceedings of the 3rd International Conference on Mechanics, Electronics Engineering and Automation, ICMEEA 2026, April 24-26, 2026, Singapore, Singapore},
        publisher={EAI},
        proceedings_a={ICMEEA},
        year={2026},
        month={9},
        keywords={AM synchronous demodulation; Butterworth low-pass filter; Filter comparison; Noise suppression; Internet of Things communication},
        doi={10.4108/eai.24-4-2026.2364975}
    }
    
  • Gujiacheng Tang
    Year: 2026
    Comparative Analysis of First-Order, Second-Order, and Fourth-Order Low-Pass Filters in Amplitude Modulation Synchronous Demodulation Systems
    ICMEEA
    EAI
    DOI: 10.4108/eai.24-4-2026.2364975
Gujiacheng Tang1,*
  • 1: NUIST Waterford Institute, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, 210044, China
*Contact email: 202383890021@nuist.edu.cn

Abstract

Amplitude Modulation (AM) is both a ubiquitous modern communication technology and is used extensively in the low-power Internet of Things (IoT). In real-life settings, noise in a channel, system flaws, and electromagnetic interference are major factor that plagues the quality of communications, and this aspect requires proper filtering in order to obtain sound data recovery. The paper explores the behaviour of filters of different orders in an AM synchronous demodulation system. The simulation model includes the amplitude modulation, additive white and pink noise, phase-locked loop synchronous demodulation, and parallel low-pass filtering. Filter performance under the same system parameters is compared using gain accuracy, phase delay time, signal-to-noise ratio (SNR), carrier rejection ratio, total harmonic distortion (THD), and steady state error. Findings show that superior noise suppression, which enhances signal reliability, is attained at higher-order filters, which are susceptible to phase delay and sensitivity in terms of synchronization.

Keywords
AM synchronous demodulation; Butterworth low-pass filter; Filter comparison; Noise suppression; Internet of Things communication
Published
2026-09-02
Publisher
EAI
http://dx.doi.org/10.4108/eai.24-4-2026.2364975
Copyright © 2026–2026 EAI
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center
  • Cookie Preferences

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL