
Proceedings Paper
Point source localization from de-ramped phase history bound on interferometric synthetic aperture radar (IFSAR) accuracyFormat | Member Price | Non-Member Price |
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Paper Abstract
The almost unique ability of azimuth deramping to preserve a smooth phase function in azimuth is exploited here
to link two disparate spatial processing methods, Direction of Arrival (DOA) localization and Interferometric
Synthetic Aperture Radar (IFSAR) and explore the achievable accuracy inherent in their common measurement
scenario. Deramping in range quickly provides a
rst component for point source localization. Deramping
in azimuth is phase preserving and provides an approximate localization in azimuth that is more accurate
over narrower apertures and can be corrected in scenarios involving range migration and for its point source,
azimuth location dependence. In cross-track IFSAR two antenna measurements azimuth/elevation DOAs can be
calculated from their smooth azimuth functions at each range with a 1 D parametric estimate (exponential model)
of point sources. Joint frequency estimates (both antennae) provide the azimuth DOA while the phase di¤erence
between antenna amplitude estimates provides the elevation DOA. The cross track antenna measurements can
also be processed via the IFSAR methodology producing two SAR images and the phase di¤erence between
the two (an interferogram). This provides two images coordinates and a height for each pixel. The connection
between the phase history DOA localization and the IFSAR is used to attain accuracy bounds for IFSAR.
Extrapolation of the bounds is provided from two spatially un-aliased antennas to IFSAR scenarios with large
baseline separations of the antennas. In addition imaging from the azimuth-elevation-range localization data and
its ability to minimize layover (building tops imaged closer than their bases) is explored.
Paper Details
Date Published: 23 May 2013
PDF: 15 pages
Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX, 874605 (23 May 2013); doi: 10.1117/12.2015782
Published in SPIE Proceedings Vol. 8746:
Algorithms for Synthetic Aperture Radar Imagery XX
Edmund Zelnio; Frederick D. Garber, Editor(s)
PDF: 15 pages
Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX, 874605 (23 May 2013); doi: 10.1117/12.2015782
Show Author Affiliations
Matthew Pepin, The Univ. of New Mexico (United States)
Majeed M. Hayat, The Univ. of New Mexico (United States)
Published in SPIE Proceedings Vol. 8746:
Algorithms for Synthetic Aperture Radar Imagery XX
Edmund Zelnio; Frederick D. Garber, Editor(s)
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