Title :
Asymptotic theory for a fast frequency detector
Author_Institution :
Dept. of Syst. & Ind. Eng., Arizona Univ. Tucson, AZ
fDate :
5/1/1993 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on