DocumentCode
1007920
Title
Asymptotic theory for a fast frequency detector
Author
Yakowitz, S.
Author_Institution
Dept. of Syst. & Ind. Eng., Arizona Univ. Tucson, AZ
Volume
39
Issue
3
fYear
1993
fDate
5/1/1993 12:00:00 AM
Firstpage
1031
Lastpage
1036
Abstract
A fast technique for efficient online signal detection and tracking is extended by analyzing the asymptotic distribution of the detector. A version of the technique is seen to have potentially greater precision than other fast estimators, the upper bound being O (1/n 2/3). Coupled with another device, there is potential for achieving the convergence precision of the maximum likelihood estimate, which, by conventional methods, entails considerably computational expense
Keywords
convergence; signal detection; tracking; asymptotic theory; contraction mapping; convergence precision; fast frequency detector; maximum likelihood estimate; signal detection; tracking; Chaos; Convergence; Costs; Detectors; Frequency estimation; Maximum likelihood detection; Maximum likelihood estimation; Power harmonic filters; Signal detection; Spread spectrum communication; Upper bound;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.256509
Filename
256509
Link To Document