NDLI: Broadband sensor location selection using convex optimization in very large scale arrays

Content Provider	IEEE Xplore Digital Library
Author	Lai, Y.M. Balan, R. Claussen, H. Rosea, J.
Copyright Year	2013
Description	Author affiliation: Siemens Corp. Corp. Technol., Princeton, NJ, USA (Claussen, H.; Rosea, J.) \|\| Dept. of Math., Univ. of Maryland, College Park, MD, USA (Lai, Y.M.; Balan, R.)
Abstract	Consider a sensing system using a large number of N microphones placed in multiple dimensions to monitor a broadband acoustic field. Using all the microphones at once is impractical because of the amount of data generated. Instead, we choose a subset of D microphones to be active. Specifically, we wish to find the set of D microphones that minimizes the largest interference gain at multiple frequencies while monitoring a target of interest. A direct, combinatorial approach - testing all N choose D subsets of microphones - is impractical because of the problem size. Instead, we use a convex optimization technique that induces sparsity through a l1-penalty to determine which subset of microphones to use. We test the robustness of the our solution through simulated annealing and compare its performance against a classical beamformer which maximizes SNR. Since switching from a subset of D microphones to another subset of D microphones at every sample is possible, we construct a space-time-frequency sampling scheme that achieves near optimal performance.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	1
Ending Page	4
File Size	2280233
Page Count	4
File Format	PDF
ISBN	9781479909728
ISSN	19311168
DOI	10.1109/WASPAA.2013.6701889
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microphones Interference Convex functions Acoustics Simulated annealing Monitoring simulated annealing array processing multi-frequency beam pattern design sensor selection very large scale arrays convex optimization
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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