DocumentCode
3054659
Title
A parametric technique for adaptive signal detection
Author
Porat, Boaz ; Friedlander, B.
Author_Institution
Haifa, Israel
fYear
1983
fDate
- Dec. 1983
Firstpage
1337
Lastpage
1342
Abstract
A parametric technique is presented for detection of Gaussian signals with unknown statistics in white Gaussian noise. The proposed method models the signal as an autoregressive process, and computes a test statistic (likelihood ratio) based on the limiting properties of the likelihood ratios used in the case of known statistics. Approximate distributions of the likelihood ratio are derived to predict the performance of the adaptive detection scheme. Some numerical examples are presented to validate the analysis.
Keywords
Adaptive signal detection; Ambient intelligence; Cost accounting; Hafnium; Instruction sets; Open systems; Sonar applications; Testing; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1983. The 22nd IEEE Conference on
Conference_Location
San Antonio, TX, USA
Type
conf
DOI
10.1109/CDC.1983.269744
Filename
4047775
Link To Document