CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
Reseach Article

Comparative Study of Acoustic Beam forming Techniques for Removal of Interference

by Devi Sivaraman, Neeraj Kr. Shukla, Ajith Kumar P.c
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 15
Year of Publication: 2015
Authors: Devi Sivaraman, Neeraj Kr. Shukla, Ajith Kumar P.c
10.5120/20627-3211

Devi Sivaraman, Neeraj Kr. Shukla, Ajith Kumar P.c . Comparative Study of Acoustic Beam forming Techniques for Removal of Interference. International Journal of Computer Applications. 117, 15 ( May 2015), 1-4. DOI=10.5120/20627-3211

@article{ 10.5120/20627-3211,
author = { Devi Sivaraman, Neeraj Kr. Shukla, Ajith Kumar P.c },
title = { Comparative Study of Acoustic Beam forming Techniques for Removal of Interference },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 15 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number15/20627-3211/ },
doi = { 10.5120/20627-3211 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:59:27.251547+05:30
%A Devi Sivaraman
%A Neeraj Kr. Shukla
%A Ajith Kumar P.c
%T Comparative Study of Acoustic Beam forming Techniques for Removal of Interference
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 15
%P 1-4
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Beam forming system helps in quality communication by increasing the signal to noise ratio (SNR). The purpose of this system is to recover the source signal from the interference. This paper explains the concept and algorithms of beam forming based on review of relevant literature. Conventional methods as well as advanced algorithms regarding acoustic beam forming are discussed. There are basically two types of beam formers, signal independent beam formers or conventional beam formers and signal dependent beam formers or adaptive beam formers. The main purpose is to allow signal from a desired direction and to remove interference. This paper theoretically compares the features of various techniques, to enable the use of appropriate ones for acoustic beam forming.

References
  1. Emanuel A. P. Habets, Jacob Benesty, "A Two Stage Beamforming Approach for Noise reduction and Dereverberation," IEEE Transactions on Audio, Speech, and Language Processing, Vol. 21, N0. 5, May 2013, pp. 945-958.
  2. Michael L. Seltzer, Richard M. Stern, "Subbands Likelihood- Maximizing Beamforming for Speech Recognition in Reverberant Environments," IEEE Transactions on Audio, Speech and Language Processing, Vol. 14, No. 6 Nov 2006, pp. 2109-2121.
  3. Alaa Abdeen, Laura Ray, "Design and Performance of a real-time Acoustic Beamforming System," IEEE, 2013.
  4. Jacob Benesty, Jingdong Chen,etal, "On Microphone-Array Beamforming From a MIMO Acoustic Signal Processing Perspective," IEEE Transactions on Audio, Speech, and Language processing, Vol. 15, No. 3, Mar 2007, pp. 1053-1065.
  5. Tshilidzi Mukwevho, Jaco Jordaan, Guillaume Noel, "Advanced Beamforming Techniques for Acoustic Source Localization," IEEE AFRICON, 23-25 September 2009, pp. 1-6.
  6. T. S. Jeyali Laseetha,Dr. R. Sukanesh, "A Novel Robust Adaptive Beamformer using Diagonal Loading", International Journal of Computer Applications, Volume 19– No. 5, April 2011,pp. 35-40.
  7. Balasem. S. S , S. K. Tiong, S. P. Koh, "Beamforming Algorithms Technique by Using MVDR and LCMV," World Applied Programming, Vol (2), Issue (5), May 2012, pp. 315-324
  8. S. N. Bhuiya, F. Islam, and M. A. Matin, "Analysis of Direction of Arrival Techniques Using Uniform Linear Array," International Journal of Computer Theory and Engineering, Vol. 4, No. 6, December 2012, pp. 931-934.
  9. Tanuja S. Dhope (Shendkar), Dina Simunic, Radovan Zentner, "Comparison of DoA Estimation Algorithms in SDMA System," AUTOMATIKA, Vol 54, No. 2, 2013, pp. 199–209.
  10. S. S. Godbole, P. M. Palsodkar, V. P. Raut, "FPGA Implementation of Adaptive LMS Filter," Proceedings of SPIT-IEEE Colloquium and International Conference, pp. 2226-2229.
  11. Jashvir Chhikara, Jagbir Singh, "Noise cancellation using adaptive algorithms," International Journal of Modern Engineering Research, Vol. 2, Issue 3, May-June 2012, pp. 792-795.
  12. Sayed A. Hadei, M. Lotfizad, "A Family of Adaptive Filter Algorithms in Noise Cancellation for Speech Enhancement," International Journal of Computer and Electrical Engineering, Vol. 2, No. 2, April 2010
  13. Asit Kumar Subudhi, Biswajit Mishra, Mihir Narayan Mohanty, "VLSI Design and Implementation for Adaptive Filter using LMS Algorithm," International Journal of Computer and Communication Technology, Volume-2, Issue-VI, 2011,pp. 84-88.
  14. Kenichi Kumatani, John McDonough, etal, "Beamforming with a Maximum Negentropy Criterion," IEEE Transactions on Audio, Speech, and Language processing, Vol. 17, No. 5, July 2009, pp. 99.
  15. Kenichi Kumatani, John McDonough, Bhiksha Raj, "Microphone Array Processing for Distant Speech Recognition," IEEE signal Processing Magazine,November 2012,pp. 127-140.
Index Terms

Computer Science
Information Sciences

Keywords

Beam forming Delay and Sum MVDR MUSIC Root MUSIC ESPRIT Least Mean Square.