Title :
Dispersive wave processing: a model-based solution
Author :
Candy, J.V. ; Chambers, D.C.
Author_Institution :
Lawrence Livermore Nat. Lab., CA, USA
Abstract :
Wave propagation through various media represents a significant problem in many applications in acoustics and electromagnetics especially when the medium is dispersive. We pose a general dispersive wave propagation model that could easily represent many classes of dispersive waves and proceed to develop a model-based processor employing this underlying structure. The general solution to the model-based dispersive wave estimation problem is developed using the Bayesian maximum a-posteriori (MAP) approach which leads to the nonlinear extended Kalman filter (EKF) processor.
Keywords :
Bayes methods; Kalman filters; acoustic dispersion; acoustic signal processing; acoustic wave propagation; dispersion (wave); electromagnetic wave propagation; filtering theory; maximum likelihood estimation; nonlinear filters; Bayesian maximum a-posteriori approach; MAP approach; acoustics; dispersive wave estimation problem; dispersive wave processing; dispersive wave propagation model; electromagnetics; model based solution; nonlinear extended Kalman filter processor; wave propagation; Acoustic propagation; Acoustic signal detection; Bayesian methods; Dispersion; Electromagnetic propagation; Electromagnetic scattering; Frequency; Radar detection; Radar tracking; Sensor arrays;
Conference_Titel :
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7646-9
DOI :
10.1109/ACSSC.1996.599146
