An Adaptive Detection Algorithm

A general problem of signal detection in a background of unknown Gaussian noise is addressed, using the techniques of statistical hypothesis testing. Signal presence is sought in one data vector, and another independent set of signal-free data vectors is available which share the unknown covariance...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 1986-03, Vol.AES-22 (2), p.115-127
Main Author: Kelly, E.J.
Format: Article
Language:English
Subjects:
Applied sciences
Colored noise
Covariance matrix
Detection algorithms
Detectors
Exact sciences and technology
Gaussian noise
Information, signal and communications theory
Interference
Matched filters
Signal detection
Signal to noise ratio
Telecommunications and information theory
Testing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A general problem of signal detection in a background of unknown Gaussian noise is addressed, using the techniques of statistical hypothesis testing. Signal presence is sought in one data vector, and another independent set of signal-free data vectors is available which share the unknown covariance matrix of the noise in the former vector. A likelihood ratio decision rule is derived and its performance evaluated in both the noise-only and signal-plus-noise cases.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.1986.310745