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

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.