NDLI: On optimal beamforming for noise reduction and interference rejection

Content Provider	IEEE Xplore Digital Library
Author	Souden, M. Benesty, J. Affes, S.
Copyright Year	2009
Description	Author affiliation: INRS- ÉMT, 800, de la Gauchetière Ouest, Suite 6900, Montréal, H5A 1K6, Qc, Canada (Souden, M.; Benesty, J.; Affes, S.)
Abstract	In this paper, we study the performance of the minimum variance distortionless response (MVDR) and linearly constrained minimum variance (LCMV) noise reduction filters when a source of interference and ambient noise coexist with the target signal. We demonstrate that both filters are related as we decompose the MVDR filter into the LCMV and a matched filter (MVDR solution in the absence of interference). Both components are properly weighted to achieve maximum interference-plus-noise reduction at each frequency bin. Furthermore, we elaborate new closed-form expressions for the signal-to-interference ratio (SIR) and signal-to-noise ratio (SNR) at the output of the LCMV, MVDR, and matched filters. These expressions theoretically prove that a tradeoff between noise reduction and interference rejection has to be made. In fact, the total removal of the interference may severely amplify the output ambient noise. Conversely, totally focussing on noise reduction leads to increased level of residual interference. The proposed study is finally supported by numerical examples.
Starting Page	109
Ending Page	112
File Size	207594
Page Count	4
File Format	PDF
ISBN	9781424436781
ISSN	19311168
DOI	10.1109/ASPAA.2009.5346525
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Array signal processing Noise reduction Speech enhancement Working environment noise Matched filters Microphone arrays Wiener filter Acoustic distortion Interference constraints Signal to noise ratio linearly constrained minimum variance (LCMV) speech enhancement minimum variance distortionless response (MVDR)
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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