An RKHS Approach to Robust L2 Estimation and Signal Detection

R. J. Barton; H. V. Poor

doi:10.1109/18.54898

An RKHS Approach to Robust L2 Estimation and Signal Detection

R. J. Barton, H. V. Poor

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

The application of reproducing kernel Hilbert space (RKHS) theory to the problems of robust signal detection and estimation is investigated. It is shown that this approach provides a general and unified framework in which to analyze the problems of L2 estimation, matched filtering, and quadratic detection in the presence of uncertainties regarding the second-order structure of the random processes involved.

Original language	English (US)
Pages (from-to)	485-501
Number of pages	17
Journal	IEEE Transactions on Information Theory
Volume	36
Issue number	3
DOIs	https://doi.org/10.1109/18.54898
State	Published - May 1990
Externally published	Yes

All Science Journal Classification (ASJC) codes

Information Systems
Computer Science Applications
Library and Information Sciences

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10.1109/18.54898

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title = "An RKHS Approach to Robust L2 Estimation and Signal Detection",

abstract = "The application of reproducing kernel Hilbert space (RKHS) theory to the problems of robust signal detection and estimation is investigated. It is shown that this approach provides a general and unified framework in which to analyze the problems of L2 estimation, matched filtering, and quadratic detection in the presence of uncertainties regarding the second-order structure of the random processes involved.",

author = "Barton, {R. J.} and Poor, {H. V.}",

note = "Funding Information: Manuscript received July 15, 1989. This work was presented in part at the 1989 IEEE Workshop on Information Theory. Cornell University, Ithaca, NY, June 26-30, 1989. This work was supported in part by the National Science Foundation under Grant ECS-85.12314 and in part by the U.S. Office of Naval Research under Grant N00014-89-5-1321. R. Barton is with ORINCON Corporation, San Diego, CA 92121.",

year = "1990",

month = may,

doi = "10.1109/18.54898",

language = "English (US)",

volume = "36",

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journal = "IEEE Transactions on Information Theory",

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AU - Poor, H. V.

N1 - Funding Information: Manuscript received July 15, 1989. This work was presented in part at the 1989 IEEE Workshop on Information Theory. Cornell University, Ithaca, NY, June 26-30, 1989. This work was supported in part by the National Science Foundation under Grant ECS-85.12314 and in part by the U.S. Office of Naval Research under Grant N00014-89-5-1321. R. Barton is with ORINCON Corporation, San Diego, CA 92121.

PY - 1990/5

Y1 - 1990/5

N2 - The application of reproducing kernel Hilbert space (RKHS) theory to the problems of robust signal detection and estimation is investigated. It is shown that this approach provides a general and unified framework in which to analyze the problems of L2 estimation, matched filtering, and quadratic detection in the presence of uncertainties regarding the second-order structure of the random processes involved.

AB - The application of reproducing kernel Hilbert space (RKHS) theory to the problems of robust signal detection and estimation is investigated. It is shown that this approach provides a general and unified framework in which to analyze the problems of L2 estimation, matched filtering, and quadratic detection in the presence of uncertainties regarding the second-order structure of the random processes involved.

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DO - 10.1109/18.54898

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JO - IEEE Transactions on Information Theory

JF - IEEE Transactions on Information Theory

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ER -

An RKHS Approach to Robust L2 Estimation and Signal Detection

Abstract

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