PT  - JOURNAL ARTICLE
AU  - Kapoor, Janak
AU  - Pathak, Ajita
AU  - Rai, Manish
AU  - Mishra, G. R
TI  - Vehicle Cabin Noise Cancellation Model Using Pre-Filter for Improved Convergence Rate and Better Stability
DP  - 2023 Jan 25
TA  - Communications - Scientific Letters of the University of Zilina
PG  - C1--C12
VI  - 25
IP  - 1
AID - 10.26552/com.C.2023.003
IS  - 13354205
AB  - 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.