DocumentCode
1230231
Title
Performance limits of the innovations-based detection algorithm
Author
Zhang, Qitu ; Haykin, Simon ; Yip, P.
Author_Institution
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
Volume
35
Issue
6
fYear
1989
fDate
11/1/1989 12:00:00 AM
Firstpage
1213
Lastpage
1222
Abstract
A theoretical evaluation of the performance limits of the innovations-based detection algorithm, which provides an adaptive algorithm for discriminating between two hypotheses parameterized as autoregressive (AR) models, is presented. Two particular cases are considered. One pertains to a situation in which the variance of the interference (modeled as an AR process) acting alone is known a priori. The other pertains to a situation in which no such knowledge is available. Detailed computer simulations are carried out to confirm the practical validity of the theory
Keywords
interference (signal); signal detection; adaptive algorithm; autoregressive models; computer simulations; innovations-based detection algorithm; interference; performance limits; signal detection; Clutter; Computational modeling; Computer simulation; Detection algorithms; Interference; Radar detection; Signal detection; Signal processing; Technological innovation; Testing;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.45277
Filename
45277
Link To Document