Signal Selection for Robust Matched Filtering

Sergio Verdu, H. Vincent Poor

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

The optimum signal selection problem under a power constraint for minimax robust discrete-time finite-length matched filtering is studied. The classical solution, which is to choose the signal as a minimum-eigenvalue eigenvector of the noise covariance matrix, is generalized to cases in which the transmitted signal is subject to channel distortion modeled by mean-square, maximum-absolute, and mean-absolute distortion uncertainty classes.

Original languageEnglish (US)
Pages (from-to)667-670
Number of pages4
JournalIEEE Transactions on Communications
Volume31
Issue number5
DOIs
StatePublished - Jan 1 1983

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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