Communications - Scientific Letters of the University of Zilina 2023, 25(1):C1-C12 | DOI: 10.26552/com.C.2023.003
Vehicle Cabin Noise Cancellation Model Using Pre-Filter for Improved Convergence Rate and Better Stability
- 1 Department of Electronics and Communication Engineering, Amity University, Lucknow, India
- 2 Electronics and Communication Engineering Department, FET MJP Rohilkhand University, Bareilly, India
- 3 Physics and Electronics Department, Dr. RML Avadh University, Ayodhya, India
Adaptive algorithms are used in updating the filter coefficients for active noise cancellation applications in reduction of vehicle cabin noise. The performance of the adaptive algorithms in low-frequency noise cancellation depends on how efficiently it alters the filter coefficient to minimize the difference between the approximated signal and the original one. Here is proposed an active noise cancellation model, using the low pass fixed coefficient filter before the adaptive filter, in order to improve the performance of the adaptive algorithm. Convergence rate, SNR and error vector magnitude are analysed for of adaptive algorithm in support of our research results.
Keywords: active noise cancellation, adaptive algorithms, adaptive filtering, noise signal, convergence rate, SNR
Grants and funding:
The authors received no financial support for the research, authorship, and/or publication of this article.
Conflicts of interest:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Received: March 17, 2022; Accepted: October 11, 2022; Prepublished online: November 9, 2022; Published: January 25, 2023 Show citation
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