Vehicle’s Cabin Noise Reduction Techniques by Cost-Effective Embedded Processor
Keywords:
Analog Signal Filtration Techniques, Active Noise Cancellation, Digital Signal Filtration Techniques, Car Cabin’s NoiseAbstract
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.
Downloads
References
P. N. Samarasinghe, W. Zhang and T. . D. Abhayapala, "Recent advances in active noise control inside automobile cabins: Toward quieter cars," IEEE Signal Processing Magazine, vol. 33, no. 6, pp. 61-73, 2016.
M. A. Sahib and S. Streif, "Design of an Active Noise Controller for Reduction of Tire/Road Interaction Noise in Environmentally Friendly Vehicles," Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA). IEEE, pp. 59-62, September 2017.
J. Dungel , P. Zvolenský, J. Grenˇcík and J. Krivda, "Investigation of Noise Generated by Railway Freight Wagon Bogie Type Y25Ls (s) eK and Proposals of Noise Reduction," Vehicles, vol. 4, no. 1, pp. 124-136, 2022.
B. Lam, W.-S. Gan, D. Y. Shi, M. Nishimura and S. Elliott, "Ten questions Concerning Active Noise Control in the Built Environment," Building and Environment,200, p. 107928, 2021.
P. Nelson and S. Elliott, Active Control of Sound, Academic Press, 1991.
Y. Song, "Active Noise Cancellation and Its Applications," In Journal of Physics: Conference Series. IOP Publishing, vol. 2386, no. 1, p. 012042, 2022.
S. M. Kuo, "Adaptive Active Noise Control Systems: Algorithms and Digital Signal Processing (DSP) Implementations," In Digital Signal Processing Technology: A Critical Review. SPIE, vol. 10279, pp. 26-52, 1995.
P. Sas and W. Dehandschutter, "Active Structural and Acoustic Control of Structure-Borne Road Noise in a Passenger Car," Noise and Vibration Worldwide, vol. 30, no. 5, pp. 17-27, 1999.
Z. Jia, X. Zheng, Q. Zhou, Z. Hao and Y. Qiu, "A Hybrid Active Noise Control System for the Attenuation of Road Noise inside a Vehicle Cabin," Sensors, vol. 20, no. 24, p. 7190, 2020.
L. Zhu, X. Zhong, H. Wang, X. Qiu, S. Wu and D. Mao, "An Objective and Subjective Study on Global Active Control of Engine Noise in a Car," Journal of Vibration and Control, p. 10775463231174730, 2023.
S.-H. Oh, H.-s. Kim and Y. Park, "Active Control of Road Booming Noise in Automotive Interiors," The Journal of the Acoustical Society of America, vol. 111, no. 1, pp. 180-188, 2002.
U. Letens, G. Koners and T. J. Saunders, "Adaptive Road Noise Cancellation for a Midclass Estate Car," The Journal of the Acoustical Society of America, 105(2_Supplement), pp. 1243-1243, 1999.
S. Thilagam and P. Karthigaikumar, "Implementation of Interior Noise Control System using Digital Adaptive Filter for on-Road Car Applications," Wireless Personal Communications, vol. 104, pp. 339-356, 2019.
J.-g. Jiang and Y. Zeng, "Adaptive Active Control System of Vehicle Noise Design and Test," Advanced Materials Research, vol. 1028, pp. 251-256, 2014.
N. Kehtarnavaz, Real-Time Digital Signal Processing: based on the TMS320C6000, Newnes, 2004.
S. M. Kuo and B. H. Lee, Real-Time Digital Signal Processing: Implementaions, Applications and Experiements with the TMS320C55X, Hoboken, NJ, USA: Wiley, 2001.
A. N. Naeem and S. Ramadass, "A Review on Audio Sampling Rates Mismatch and Its Effect on the Acoustic Echo Cancellation of Persenol Computers.," Australian Journal of Basic and Applied Sciences, vol. 5, no. 9, pp. 1599-1605, 2011.
S. Dogra and N. Sharma, "Comparison of different Techniques to Design of Filter," International Journal of Computer Applications, vol. 97, no. 1, 2014.
Z. Shi , . B. Liu , H. Yue, X. Wu and S. Wang, "Noise Reduction of Two-Speed Automatic Transmission for Pure Electric Vehicles," Vehicles, vol. 5, no. 1, pp. 248-265, 2023.
S. Adachi and H. Sano, "Application of Two-Degree-of-Freedom Type Active Noise Control using IMC to Road Noise inside Automobiles," In Proceedings of 35th IEEE Conference on Decision and Control, vol. 3, pp. 2794-2795, 1996.
U. Sandberg, Tyre/Road Noise Myths and Realities, Statens väg-och transportforskningsinstitut, 2001.
A. R. Hamza and M. A. Hussein Shiekh, "Design and Implementation of Active Noise Cancellation for Car Cabin on Sulaimania Roads Using Arduino Embedded System," Journal of Engineering, vol. 28, no. 9, pp. 45-69, 2022.
M. Herrmann, J. Kralicek , W. Stein and F. Gauterin , "Describing Road Booming Noise with a Hybrid Simulation Model Using a Time Segmentation of the Excitation Load Approach," Vehicles, vol. 3, no. 3, pp. 469-479, 2021.
H. W. Z. L. K. a. L. H. Lee, " A review of active noise control applications on noise barrier in three-dimensional/open space: Myths and challenges," Fluctuation and Noise Letters, vol. 18, no. 4, pp. 1930002-1 -1930002-21, 2019.
H. I. T. T. A. T. K. a. N. Y. Sano, " Active control system for low-frequency road noise combined with an audio system," IEEE Transactions on speech and audio processing, vol. 9, no. 7, pp. 755-763, 2001.
S. K. K. a. G. W. Kuo, "Active Noise Control: Open Problems and Challenges," In The 2010 International Conference on Green Circuits and Systems. IEEE, pp. 164-169, June 2010.
T. Lampl, "Implementation of Adaptive Filtering Algorithms for Noise Cancellation," 2020.Nagendram, S., Singh, A., Harish Babu, G., Joshi, R., Pande, S.D., Ahammad, S.K.H., Dhabliya, D., Bisht, A. Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation (2023) Open Life Sciences, 18 (1), art. no. 20220665,
Emma Smith, Deep Learning for Gesture Recognition and Human-Computer Interaction , Machine Learning Applications Conference Proceedings, Vol 3 2023.
Ch.Sarada, C., Lakshmi, K. V. ., & Padmavathamma, M. . (2023). MLO Mammogram Pectoral Masking with Ensemble of MSER and Slope Edge Detection and Extensive Pre-Processing. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3), 135–144. https://doi.org/10.17762/ijritcc.v11i3.6330
Kamble, S.D., Saini, D.K.J.B., Jain, S., Kumar, K., Kumar, S., Dhabliya, D.A novel approach of surveillance video indexing and retrieval using object detection and tracking (2023) Journal of Interdisciplinary Mathematics, 26 (3), pp. 341-350.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Aven R. Hamza, Mohammed Abdullah Hussein El Shiekh
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.