Autofocusing Slow-moving Objects Sensed by an Airborne SAR

J.L. PASCIARONI; J. E. COUSSEAU; N.B. GÁLVEZ

Rome

Conferencia; 5th International Conference on Integrated Modeling and Analysis in Applied Control and Automation; 2011

The 8th International Mediterranean and Latin American Modelling Multiconference

During the processing of synthetic aperture radar (SAR) images, unknown-moving objectscause phase modulations in their phase histories. Depending on the motion, such modulations cause unde-sirable image distortions such as blurring and object-displacement artifacts. This paper discusses the estimation of time-frequency representations of nonstationary signals, by means of autoregressive moving-average (ARMA) model with time-dependent coefficients. This estimate will determine the object?s motion law and consequently the possibility of reconstructing and plotting the true trajectory.