DocumentCode :
2202746
Title :
Radar imaging using 2D adaptive non-parametric extrapolation and autoregressive modeling
Author :
Chen, Chiouguey ; Thomas, Gabriel ; Flores, Benjamin C. ; Cabrera, Sergio D.
Author_Institution :
Dept. of Electr. Eng., Texas Univ., El Paso, TX, USA
fYear :
1994
fDate :
21-24 Apr 1994
Firstpage :
70
Lastpage :
75
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
Keywords :
extrapolation; image processing; radar theory; stochastic processes; time series; 2D adaptive nonparametric extrapolation; Fourier processing; adaptive weighted norm extrapolation; autoregressive modeling; closely-spaced point scatterers; data collection process; frequency bound; frequency-space aperture plane; image formation; observation angles; range-Doppler images; two dimensional data; Apertures; Doppler radar; Extrapolation; Frequency; High-resolution imaging; Image resolution; Image sampling; Radar imaging; Radar scattering; Wideband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Interpretation, 1994., Proceedings of the IEEE Southwest Symposium on
Conference_Location :
Dallas, TX
Print_ISBN :
0-8186-6250-6
Type :
conf
DOI :
10.1109/IAI.1994.336682
Filename :
336682
Link To Document :
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