Radar imaging using 2D adaptive non-parametric extrapolation and autoregressive modeling

Abstract

Two approaches are described to obtain range-Doppler images using either adaptive weighted norm extrapolation or autoregressive modeling. These approaches are used to extend two dimensional data in the frequency-space aperture plane. The data collection process is viewed as sampling limited to a two dimensional window area, corresponding to a set of frequency bounds and observation angles. Image formation is achieved by Fourier processing of the data. The effect of extending this observation window is to increase the resolution in both range and Doppler. The improvement in resolution makes it possible to observe closely-spaced point scatterers. Examples using these data extrapolation methods are presented.<>