RADAR IMAGE DESCRIPTION USING AUTOREGRESIVE AR(4) TIME SERIES AND HIGH ORDER SPECTRAL MOMENTS APPROACH

DOYNOV Bozhidar; ZACHARY Popov; CHAVDAR Alexandrov
4/1/2013
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Marine sciences and engineering; Renewable energies; Marine renewable energies and Sustenability; Advanced; technologies for MET; Climate changes
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Abstract
This article presents an attempt for modeling and estimation of radar images of a ship (presented as a rough surface) using high order spectral moments and time series. Experiments with real images obtained by a costal surveillance radar are described. The results are estimated by using autoregressive models of fourth order. Experimental results with AR(2) and AR(4) have been compared and discussed.
Keywords
Radar image spectral moments AR(4) time series estimation
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About the Authors
DOYNOV Bozhidar;
Technical University - Varna
ZACHARY Popov;
Technical University - Varna
CHAVDAR Alexandrov
Nikola Vaptsarov Naval Academy, Varna, Bulgaria