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Proceedings Paper

Motion estimation in ISAR focusing
Author(s): John R. Bennett; David S. Brown; Barton P. Schade; John D. McGlynn
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Paper Abstract

Inverse-synthetic aperture radar (ISAR) processing algorithms require an explicit or implicit model of the motion of the target, since this information is not measurable at the sensor. A major unsolved problem is whether it is better to develop a deterministic model of the motion or to fit the observations to a mathematical model which may be ambiguous with a wide range of physical target motions. This question is particularly important for the imaging of small targets in ground clutter since the available information on the target motion may be very limited. By contrast, the imaging of large ships in sea clutter yields a wealth of information of the motion of the body. This paper explores the effectiveness of models of the second kind by testing a set of motion estimation algorithms against motor vehicle targets imaged by a high-frequency SAR at long range and low grazing angle. The algorithms attempt to estimate the bulk motion of the vehicle and its rotation about its mean position by fitting many small pieces of information gathered from low quality or short duration scatterers detected in either the raw range- compressed signal history or in the complex image. In forming the motion model, the algorithm avoids undue reliance on particular bright or narrow-Doppler targets in favor of a global fit to many partially resolved or glinting features. The algorithm is demonstrated for 0.3 meter resolution SAR data of a Winnebago van from a Ku-band radar.

Paper Details

Date Published: 24 September 1997
PDF: 8 pages
Proc. SPIE 3161, Radar Processing, Technology, and Applications II, (24 September 1997); doi: 10.1117/12.279479
Show Author Affiliations
John R. Bennett, Science Applications International Corp. (United States)
David S. Brown, Science Applications International Corp. (United States)
Barton P. Schade, Science Applications International Corp. (United States)
John D. McGlynn, Science Applications International Corp. (United States)


Published in SPIE Proceedings Vol. 3161:
Radar Processing, Technology, and Applications II
William J. Miceli, Editor(s)

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