Signal Selection for Robust Matched Filtering

Sergio Verdú, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


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
Issue number5
StatePublished - May 1983

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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