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Design of an Adaptive Noise Cancellation System in a Time Varying, Non-Linear Automobile Environment

S. Thilagam*, P. Karthigaikumar**

* Assistant Professor, Department of Electronics and Communication Engineering, Kumaraguru College of Technology, Coimbatore, India.

** Professor, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore, India.

Periodicity:July - September'2016
DOI : https://doi.org/10.26634/jdp.4.3.8141

Abstract

There are various types of noises in an automobile. It includes tire noises, belt noises, noises due to braking systems, and engine. The engine noise reduction techniques play a major role to improve the life and efficiency of the engine. However, these noises need to be reduced and cancelled in a real-time environment using statistical Digital Processing techniques. This paper proposes the use of adaptive filters using LMS and RLS algorithms to cancel the engine noise. The performance analysis is done using MATLAB through proven simulation results and by comparing the parameters like Mean Square Error, Convergence speed, and Stability of the system.

Keywords

Engine Noise Cancellation, ECU, Adaptive Filters, LMS Algorithm, RLS Algorithm, Mean Square Error.

How to Cite this Article?

Thilagam.S., and Karthigaikumar.P. (2016). Design of An Adaptive Noise Cancellation System in A Time Varying, Non-Linear Automobile Environment. i-manager’s Journal on Digital Signal Processing, 4(3), 1-5. https://doi.org/10.26634/jdp.4.3.8141

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