RT Journal Article
SR Electronic
A1 Kapoor, Janak
A1 Pathak, Ajita
A1 Rai, Manish
A1 Mishra, G. R
T1 Vehicle Cabin Noise Cancellation Model Using Pre-Filter for Improved Convergence Rate and Better Stability
JF Communications - Scientific Letters of the University of Zilina
YR 2023
VO 25
IS 1
SP C1
OP C12
DO 10.26552/com.C.2023.003
UL https://komunikacie.uniza.sk/artkey/csl-202301-0001.php
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.