An RKHS Approach to Robust L2 Estimation and Signal Detection

R. J. Barton, H. Vincent Poor

Research output: Contribution to journalArticle

6 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 languageEnglish (US)
Pages (from-to)485-501
Number of pages17
JournalIEEE Transactions on Information Theory
Volume36
Issue number3
DOIs
StatePublished - Jan 1 1990
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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