Vehicle’s Cabin Noise Reduction Techniques by Cost-Effective Embedded Processor

Authors

  • Aven R. Hamza MSc in Communication System PhD Student in (Signal Processing) College of Engineering -Sulaimani Polytechnic University Sulaymaniyah, Iraq
  • Mohammed Abdullah Hussein El Shiekh PhD in Computer Science (Computer Architecture and AI), MSc in Computer Engineering, College of Engineering - University of Sulaimani, Sulaymaniyah, Iraq

Keywords:

Analog Signal Filtration Techniques, Active Noise Cancellation, Digital Signal Filtration Techniques, Car Cabin’s Noise

Abstract

Noise cancellation is currently important in digital signal processing and cost-effective fidelity surrounding sound achievement. The current development of digital technologies helps in the implementation of digital signal processing on cost-effective processors. As transportation heavily depends on vehicles, noise generation within their cabins has become a predominant concern over different vehicles speeds. Earlier attempts for reducing cabin’s noise involved analog electronics; however, the effectiveness of these approaches remains undocumented. In the recent times, digital signal processing has emerged as a preferred method for noise cancellation, yet an independent assessment of its efficiency is lacking.

This paper aims at implementing in-car noise cancellation via an embedded processor using two methods. The research emphasizes the effectiveness of digital noise cancellation in enhancing in-cabin environments by creating a quitter surround through acoustics techniques. In the first one, signals are generated inside a rectangular enclosure insulated from inside with a foam material. The signal is countered by an inverting noise signal of an equivalent amplitude and 180o degrees out of a phase with no filtration. Typical obtained noise cancellation values are in the range of 7 to 11 dB, for all vehicle’s speed.     

The second approach involves a digital Finite and Infinite Impulse Response noise cancellation through Low-Pass filters (2nd, 5th, 10th orders), designed by MATLAB and implemented on the embedded processor. The 2nd order LP-FIR filter demonstrates superior outcomes, achieving reductions of approximately 19 dB, 15.3 dB, and 17.6 dB for the driver, passenger, and rear sides, respectively, for different vehicle’s speeds. However, the 5th order BLP-IIR filter yields the highest noise reduction compared to the 2nd and 10th orders, as the average noise cancellation values are 11.6 dB, 10 dB, and 9.3 dB for the driver, passenger, and rear sides, respectively, at different speeds.

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Published

30.08.2023

How to Cite

Hamza, A. R. ., & Abdullah Hussein El Shiekh, M. . (2023). Vehicle’s Cabin Noise Reduction Techniques by Cost-Effective Embedded Processor. International Journal of Intelligent Systems and Applications in Engineering, 11(11s), 416–429. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3508

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Research Article