Autoregressive modeling of dechirped spotlight-mode sar rawdata in transform domain

Author

Ikuma, Takeshi ; Naraghi-Pour, Mort ; Lewis, Thomas

Author_Institution

Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA

fYear

2010

fDate

25-30 July 2010

Firstpage

4640

Lastpage

4643

Abstract

Raw data collected by synthetic aperture radar (SAR) is commonly assumed to be uncorrelated and with a zero-mean Gaussian distribution. In this paper, we show-both analytically and numerically-that the range-wise inverse Fourier transform of the dechirp-on-receive circular SAR data exhibits significant correlation in the azimuth direction. Moreover, we show that a block adaptive autoregressive model well represents the transformed SAR data.

Keywords

Fourier transforms; Gaussian distribution; autoregressive processes; inverse transforms; surface acoustic waves; synthetic aperture radar; autoregressive modeling; block adaptive autoregressive model; dechirp-on-receive circular SAR data; dechirped spotlight-mode SAR raw data; range-wise inverse Fourier transform; synthetic aperture radar; transform domain; zero-mean Gaussian distribution; Adaptation model; Correlation; Data models; Fourier transforms; Gain; Synthetic aperture radar; Technological innovation; AR model; SAR; data compression; estimation; prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Conference_Location

Honolulu, HI

ISSN

2153-6996

Print_ISBN

978-1-4244-9565-8

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2010.5653086

Filename

5653086