DocumentCode
1980107
Title
Tracking model of an adaptive lattice filter for a linear chirp signal in noise
Author
Chew, Kay C. ; Zeidler, James R. ; Ku, Walter H.
Author_Institution
Center for Ultra-High Speed Integrated Circuits & Syst., California Univ., San Diego, La Jolla, CA, USA
fYear
1991
fDate
14-17 Apr 1991
Firstpage
1869
Abstract
The authors study the behavior of the partial correlation (PARCOR) coefficients of the stochastic gradient adaptive lattice filter in response to a complex linear chirp FM signal in white Gaussian noise. A single-stage model for the behavior of the coefficients is developed, and the recovery error is derived. Also, an accurate model for a two-stage filter is derived
Keywords
adaptive filters; correlation theory; digital filters; filtering and prediction theory; frequency modulation; tracking; white noise; FM signal; PARCOR; adaptive lattice filter; linear chirp signal; partial correlation coefficient; recovery error; single-stage model; stochastic gradient filter; tracking model; two-stage filter; white Gaussian noise; Adaptive filters; Analytical models; Chirp; Finite impulse response filter; Gaussian noise; Integrated circuit noise; Lattices; Least squares approximation; Nonlinear filters; Stochastic resonance;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.150732
Filename
150732
Link To Document