International Journal of Electrical and Electronics Research ISSN 2348-6988 (online) Vol. 10, Issue 2, pp: (1-8), Month: April - June 2022, Available at: www.researchpublish.com
MINIMIZATION OF ACOUSTIC NOISE IN A BROADCASTING STUDIO USING AN ADAPTIVE NOISE CANCELLER 1 1,2
Onogwu J.O., 2Prof. Onoh G.N.
Enugu State University of Science and Technology
Abstract: This work presents the minimization of acoustic noise in the Nigerian broadcasting industry using the adaptive noise canceller. This was embarked upon to address the problem of poor quality of service due to acoustic noise in broadcasting studio. To achieve this, empirical study to determine the level of noise in the broadcasting signal was conducted at Dream FM radio station, via characterization. A model of adaptive noise canceller was then developed using least square algorithm and noise canceller algorithm. The noise canceller detects the noise in the broadcasting signal, and then the least square algorithm filters the noise using reference noise value and gives throughput of clear broadcast service. This adaptive noise cancelling scheme was deployed on the radio station mixer using Simulink and then simulated for results and evaluations. The result showed that noise was reduced from 0.56dB to 0.22dB. Keywords: Acoustic Noise, Adaptive Noise Canceller, Least Square Algorithm, Broadcasting Signal.
I. INTRODUCTION Over the years, noise has remained a major issue affecting the quality of service in all forms of information communication technologies (Rosselti, 2011). Noise is an unwanted signal which degrades the quality of service in communication systems via interrupting the real signal to upset the standard (Lim and Oppenheim, 2017; Gibson et al., 2019; Lakshmikanth et al., 2014). One of the major sections of communication which has suffered this problem of noise the most is the radio broadcasting studio. This studio are designed be default to mitigate noise from the environment via studio padding, however acoustic noise from the mixer and other components like amplifiers, contributes negatively to the quality of broadcasting signal. This type of noise (acoustic) is an unpleasant signal which affects the quality of other real signals and has remained a very big problem to the quality of broadcasting signal in radio studio (Mohanaprasad et al., 2017; Zhengyou et al., 2016). To address this problem, many solutions have been proposed such as linear filter, kalman filter among others, but despite the success the tolerance level of noise mitigated by these algorithms still leaves room for improvement (Rudolph, 2016; So and Paliwal, 2011; Greg and Gary, 2015). To achieve this desired quality of service, the use of adaptive noise canceller is proposed. This will be developed using least mean square algorithm and noise filter to improve the adaptivity and reliability of noise filter to mitigate acoustic noise to the lowest gain. This when achieved will go a long way to improve the quality of service in the radio broadcasting industries. Aim and Objective of this research The aim is to minimize acoustic noise in broadcasting studio using adaptive noise canceller with the following set out objectives; i. To perform empirical study of a testbed and determine the acoustic noise level ii. To develop an adaptive noise canceller to mitigate the acoustic noise iii. To implement the noise canceller on the testbed using simulation iv. To evaluate the performance
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