In this brief, the design and implementation of an active headrest system are given. An efficient narrowband multichannel active noise control (ANC) algorithm known as filtered-e weighted-frequency Fourier linear combiner least mean square (FE-WFLC-LMS) is implemented in the proposed active headrest system to effectively control the undesired acoustic noise without hampering the desired sound such as speech and alarms. The computational complexity analysis along with simulation and real-time experiments are provided to demonstrate the efficiency of the proposed algorithm. Through simulation study, it is shown that the proposed multichannel FE-WFLC-LMS algorithm is capable of controlling the noise containing variable tonal frequencies effectively without use of reference microphone. In real-time experiments, it is observed that the proposed algorithm is able to track the frequency change to effectively control the noise without using any reference microphone.
Copyright:Copyright [2023]. All efforts have been made to respect the copyright to the best of our knowledge. Inadvertent omissions, if brought to our notice, stand for correction and withdrawal of document from this repository.