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2 May 2012Detection and tracking of prominent scatterers in SAR data
Tracking prominent scatterers provides a mechanism for scene-derived motion compensation of Synthetic Aperture
Radar (SAR) data. Such a process is useful in environments where GPS is unavailable and a lack of precise sensor
position data makes standard motion compensation difficult. Our approach to sensor positioning estimates range
histories of multiple isolated scatterers with high accuracy, then performs a geometric inversion to locate the scatterers in
three dimensions and estimate the platform's motion.
For high-accuracy scatterer range tracking, we first detect prominent scatterers using a CFAR criterion automatic
algorithm and then track them with a two-input Kalman Filter (KF) operation. These two steps provide accurate range
estimates of multiple scatterers over a sequence of SAR pulses. The KF state space is range and range-rate. We derive
data inputs to the KF algorithm from multiple SAR pulses, divided into Coherent Processing Intervals (CPI). Within
each CPI, individual scatterer peak amplitudes and phases are available to the algorithm.
Our approach to scene-derived motion compensation combines the high accuracy range history estimates with a novel
three-dimensional geometric inversion. This geometric inversion uses the range histories to estimate both 3D scatterer
location and 3D relative motions of the radar. We illustrate our KF-based approach to high-accuracy tracking and
demonstrate its application to estimating scene scatterer locations on synthetic and real collected SAR data.
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Benjamin Shapo, Mark Stuff, Christopher Kreucher, Ron Majewski, "Detection and tracking of prominent scatterers in SAR data," Proc. SPIE 8394, Algorithms for Synthetic Aperture Radar Imagery XIX, 83940G (2 May 2012); https://doi.org/10.1117/12.919250