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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 1986-03, Vol.AES-22 (2), p.115-127
1. Verfasser:	Kelly, E.J.
Format:	Artikel
Sprache:	eng
Schlagworte:	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
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	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