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/n2/3). 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 :
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