Sequential processing of SAR phase history data for rapid detection

Author

Subotic, Nikola S. ; Thelen, Brian J.

Author_Institution

Environ. Res. Inst. of Michigan, Ann Arbor, MI, USA

Volume

1

fYear

1995

fDate

23-26 Oct 1995

Firstpage

144

Abstract

We apply a Wald sequential hypothesis test to synthetic aperture radar (SAR) phase history data. A 2D autoregressive (AR) signal model is applied to the SAR phase history data to exploit the signatures produced by cultural objects. We model the sequential probability ratio decision statistic as a Brownian motion process with drift. The test can then be simply approximated as a test for the drift in the Brownian motion process. We show that the required aperture extent (number of pulses) to determine the presence of a target within the scene is significantly smaller than the full aperture

Keywords

Brownian motion; autoregressive processes; probability; radar detection; radar imaging; radar target recognition; synthetic aperture radar; 2D autoregressive signal model; Brownian motion process; SAR phase history data; Wald sequential hypothesis test; cultural objects; drift; rapid detection; sequential probability ratio decision statistic; sequential processing; synthetic aperture radar; Cultural differences; History; Layout; Phase detection; Probability; Radar detection; Sequential analysis; Statistics; Synthetic aperture radar; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.529060

Filename

529060