Title :
Frequency tracking performance of adaptive lattice filters
Author :
Zeidler, J.R. ; Chew, K.C. ; Axford, R.A. ; Ku, W.H.
Author_Institution :
US Naval Ocean Syst. Center, San Diego, CA, USA
Abstract :
Adaptive linear prediction filters have been proposed for the detection of narrowband signals in nonstationary noise and for the removal of narrowband interference from spread spectrum communications signals. In the present work, analytical results and computer models for the PARCOR coefficients, signal recovery error, and output misadjustment of the stochastic gradient adaptive lattice filter are obtained for a complex linear chirp FM signal in white Gaussian noise. From these expressions an optimal adaptation rate is obtained as a function of the filter order and the chirp rate. These results indicate that short filter lengths are sufficient for tracking chirp signals
Keywords :
adaptive filters; filtering and prediction theory; frequency modulation; spread spectrum communication; tracking; white noise; PARCOR coefficients; complex linear chirp FM signal; frequency tracking; narrowband signals; nonstationary noise; optimal adaptation rate; output misadjustment; short filter lengths; signal recovery error; spread spectrum communications signals; stochastic gradient adaptive lattice filter; white Gaussian noise; Adaptive filters; Adaptive signal detection; Chirp; Frequency; Interference; Lattices; Narrowband; Nonlinear filters; Signal detection; Spread spectrum communication;
Conference_Titel :
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-2470-1
DOI :
10.1109/ACSSC.1991.186527
