Title :
The adaptive line enhancer applied to chirp detection
Author :
Elliott, Glenn R. ; Stearns, Stephen D.
Author_Institution :
Sandia Nat. Labs., Albuquerque, NM, USA
Abstract :
The ability of an adaptive line enhancer (ALE) driven by the least-mean-square (LMS) algorithm to track the frequency of a chirping signal in broadband noise is discussed. The dynamic behavior of the weights is described, and a weight tracking error bound is derived in terms of the chirp rate. Frequency tracking and weight behavior are illustrated by means of examples
Keywords :
adaptive systems; interference (signal); noise; signal detection; adaptive line enhancer; broadband noise; chirp detection; chirp rate; frequency tracking; least-mean-square; linear predictor; weight behavior; weight tracking error bound; Chirp; Convergence; Delay; Filters; Frequency; Laboratories; Least squares approximation; Line enhancers; Narrowband; Signal processing;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112373
