Signal Selection for Robust Matched Filtering

Sergio Verdú; H. Vincent Poor

doi:10.1109/TCOM.1983.1095861

Signal Selection for Robust Matched Filtering

Sergio Verdú, H. Vincent Poor

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

11 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 language	English (US)
Pages (from-to)	667-670
Number of pages	4
Journal	IEEE Transactions on Communications
Volume	31
Issue number	5
DOIs	https://doi.org/10.1109/TCOM.1983.1095861
State	Published - May 1983

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/TCOM.1983.1095861

Cite this

@article{b80e13836df64422b7f1c1a46249d131,

title = "Signal Selection for Robust Matched Filtering",

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.",

author = "Sergio Verd{\'u} and Poor, {H. Vincent}",

year = "1983",

month = may,

doi = "10.1109/TCOM.1983.1095861",

language = "English (US)",

volume = "31",

pages = "667--670",

journal = "IEEE Transactions on Communications",

issn = "0090-6778",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "5",

}

TY - JOUR

T1 - Signal Selection for Robust Matched Filtering

AU - Verdú, Sergio

AU - Poor, H. Vincent

PY - 1983/5

Y1 - 1983/5

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0020751337&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0020751337&partnerID=8YFLogxK

U2 - 10.1109/TCOM.1983.1095861

DO - 10.1109/TCOM.1983.1095861

M3 - Article

AN - SCOPUS:0020751337

SN - 0090-6778

VL - 31

SP - 667

EP - 670

JO - IEEE Transactions on Communications

JF - IEEE Transactions on Communications

IS - 5

ER -

Signal Selection for Robust Matched Filtering

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this