Детайли за публикацията
(Publication details)

Оригинал (Original)
Автори: Плешкова-Бекярска, С. Г.
Заглавие: MICROPHONE ARRAYS BEAMFORMING METHODS WITH LEAST MEAN SQUARE SPATIAL FILTRATION FOR NOISE SUPPRESSION
Ключови думи: beamforming method, microphone array, SNR, Least Mean Squares

Абстракт: Beamforming is a group of methods with spatial filtering of sound signals captured from an array of sound sensors or microphones.The objective is to estimate the direction of arrival of sound source signal in the presence of noise and other interfering signals. A spatial filtering is prepared from beamformer to separates the signals with overlapping frequency content arriving from different directions. The goal of this article is to study the different beamforming methods using the algorithm of Least Mean Squares (LMS) filters for spatial filtering of sound signals from microphone array sensors. It is proposed to use a least mean square algorithm capable of iteratively adapting the weights of the sound sensor microphone array to minimize the noise in output microphone array signal. Two methods of microphone arrays are simulated and compared: the simple delay and sum beamformer and statistically optimum beamformer. The simulation results of are analyzed to estimate the SNR improvement

Библиография

  1. Barry Van Veen, 2000, Beamforming Techniques for Spatial Filtering, London, CRC Press LLC
  2. NHS Evidence, 2011, National Libraries of Guidlines, <http://www.engnetbase.com/Guidlines>, Дата на последен преглед (Last accessed on): 04.06.2013
  3. Raykar C.V., 2001, A Study of a various beamforming techniques of the Constrained Least Mean Squares (LMS) algorithm for Beamforming University of Maryland, London, College Park
  4. Simon S. Haykin, Bernard Widrow, 2003, Least-Mean- Square Adaptive Filters, New York, Wiley, 2003
  5. SPHSC 503, Adaptive directional microphones. Speech Signal Processing, UW – Summer 2000.

Издание
, 2013, България,

Autors: PleshkovaBekjarska, S. G.
Title: MICROPHONE ARRAYS BEAMFORMING METHODS WITH LEAST MEAN SQUARE SPATIAL FILTRATION FOR NOISE SUPPRESSION
Keywords: beamforming method, microphone array, SNR, Least Mean Squares

Abstract:

References

  1. Barry Van Veen, 2000, Beamforming Techniques for Spatial Filtering, London, CRC Press LLC
  2. NHS Evidence, 2011, National Libraries of Guidlines, <http://www.engnetbase.com/Guidlines>, Дата на последен преглед (Last accessed on): 04.06.2013
  3. Raykar C.V., 2001, A Study of a various beamforming techniques of the Constrained Least Mean Squares (LMS) algorithm for Beamforming University of Maryland, London, College Park
  4. Simon S. Haykin, Bernard Widrow, 2003, Least-Mean- Square Adaptive Filters, New York, Wiley, 2003
  5. SPHSC 503, Adaptive directional microphones. Speech Signal Processing, UW – Summer 2000.

Issue
, 2013, Bulgaria,

Вид: публикация в международен форум, публикация в реферирано издание

Въведена от: проф. д-р Снежана Георгиева Плешкова-Бекярска