NDLI: Numerically efficient mean squared error threshold SNR prediction for adaptive arrays

Content Provider	IEEE Xplore Digital Library
Author	Richmond, C.D.
Copyright Year	2010
Description	Author affiliation: MIT Lincoln Laboratory 244 Wood Street, Lexington, MA 02420 (Richmond, C.D.)
Abstract	The method of interval estimation (MIE) is an established technique for extending asymptotic mean squared error (MSE) predictions like the Cramér-Rao bound to lower signal-to-noise ratio. While application of MIE to the adaptive array problem was successful in [1], the numerical integration required to compute the pairwise error probabilities central to MIE is computationally expensive. This is primarily due to the double integral required, moreover, the integrand itself involves the Marcum Q-function, a specialize function that can be represented as an integral or infinite series. System analysis and design often requires computing MSE performance over a wide search space that easily demands hundreds to tens of thousands of repeated calculations of the pairwise error probabilities. To support this demand two approaches to approximating the required error probabilities are explored herein, one yielding a near ~235 times speedup factor in computation without major loss in accuracy of MSE prediction.
Starting Page	101
Ending Page	104
File Size	367024
Page Count	4
File Format	PDF
ISBN	9781424489787
ISSN	2151870X
e-ISBN	9781424489770
e-ISBN	9781424493951
DOI	10.1109/SAM.2010.5606709
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-04
Publisher Place	Israel
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal to noise ratio Arrays Maximum likelihood estimation Error probability Approximation methods
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
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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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