, Pranali B. KASHID 2
, Lalit N. PATIL 3
, Sayali S. JADHAV 4
, Pooja KOLI 2
, Vikash AGRAWAL 7
, Subhash GADHAVE 8
, Santosh D. SANCHETI 6
, Yashraj M. PATIL 7
, Atul A. PATIL 5
2Padmabhooshan Vasantraodada Patil Institute of Technology, Budhgaon, Sangli, 413008, India
3School of Mechanical and Manufacturing Science, Faculty of Science and Technology, JSPM University, Pune, 411033, India
4Department of Mechanical Engineering, Annasaheb Dange College of Engineering and Technology, Ashta, Sangli, 06283, India
5Department of Mechanical Engineering, Dr. D. Y. Patil Institute of Technology, Pune, 411018, India
6Department of Mechanical Engineering, SNJB's, Late Sau. Kantabai Bhavarlalji Jain College of Engineering, Chandwad, 423101, India
7Department of Automation and Robotics, Dr. D. Y. Patil Institute of Technology, Pune, 413008, India
8Department of Mechanical Engineering, Padmabhooshan Vasantraodada Patil Institute of Technology, Bavdhan, Pune, 416304, India
Abstract
Achieving high-quality sound in noisy environments is a significant challenge in audio applications, particularly in areas such as communications, broadcasting, and healthcare. This study explores the use of the Minimum Variance Distortionless Response (MVDR) algorithm in conjunction with a linear microphone array to improve audio beamforming. The objective is to enhance the signal-to-noise ratio (SNR) of desired signals while minimizing interference and reverberation. The MVDR algorithm is applied in the research using MAT-LAB to create directional beams that help isolate the target signal, and background noise is reduced. Comparative analysis against the traditional delay-and-sum beamformer shows that the MVDR scheme is much better in SNR, particularly in the multiple sources of interference environment. The major findings are that as the number of microphones increases to 20, the mean squared error (MSE) reduces by up to 33.8 dB and that the microphones work best when the spacing between them is carefully adjusted. These results indicate that MVDR-based beamforming would be able to offer excellent solutions to improving sound clarity in numerous realistic scenarios, including teleconferencing, sonar, and medical imaging.
