Matched filtering (MF) of phase history data is a mathematically ideal but computationally
expensive approach to bistatic synthetic aperture radar (SAR) image formation. Fast …

This paper develops three-dimensional (3D), bistatic parametric models that describe
canonical radar scattering responses of several geometric objects. These models find use in …

The phase gradient autofocus (PGA) algorithm has seen widespread use and success
within the synthetic aperture radar (SAR) imaging community. However, its use and success …

A bistatic forward-looking synthetic aperture radar (BFSAR) is increasingly in the focus of
study, as it breaks through the limitations of imaging on a forward-looking terrain of a moving …

The range–Doppler (R–D) model is extensively employed for the geometric processing of
synthetic aperture radar (SAR) images. Refining the sensor motion state and imaging …

For unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) imaging, motion errors
cannot be obtained accurately when high precision motion sensors are not equipped on the …

A new precise estimator for use in along-track velocity parameter estimation is presented in
this letter. The proposed solution effectively determines flight parameters without using an …

An equivalent range equation with a monostatic equivalent component and a bistatic
synthetic aperture radar (BiSAR) compensation component was proposed. There were five …

BISTATIC SAR DATA PROCESSING ALGORITHMS Synthetic Aperture Radar (SAR) is
critical for remote sensing. It works day and night, in good weather or bad. Bistatic SAR is a …

This paper discusses reconstruction of three-dimensional surfaces from multiple bistatic
synthetic aperture radar (SAR) images. Techniques for surface reconstruction from multiple …