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Proceedings Paper

Clutter suppression interferometry system design and processing
Author(s): Chad Knight; Ross Deming; Jake Gunther
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Paper Abstract

Clutter suppression interferometry (CSI) has received extensive attention due to its multi-modal capability to detect slow-moving targets, and concurrently form high-resolution synthetic aperture radar (SAR) images from the same data. The ability to continuously augment SAR images with geo-located ground moving target indicators (GMTI) provides valuable real-time situational awareness that is important for many applications. CSI can be accomplished with minimal hardware and processing resources. This makes CSI a natural candidate for applications where size, weight and power (SWaP) are constrained, such as unmanned aerial vehicles (UAVs) and small satellites. This paper will discuss the theory for optimal CSI system configuration focusing on sparse time-varying transmit and receive array manifold due to SWaP considerations. The underlying signal model will be presented and discussed as well as the potential benefits that a sparse time-varying transmit receive manifold provides. The high-level processing objectives will be detailed and examined on simulated data. Then actual SAR data collected with the Space Dynamic Laboratory (SDL) FlexSAR radar system will be analyzed. The simulated data contrasted with actual SAR data helps illustrate the challenges and limitations found in practice vs. theory. A new novel approach incorporating sparse signal processing is discussed that has the potential to reduce false- alarm rates and improve detections.

Paper Details

Date Published: 13 May 2015
PDF: 18 pages
Proc. SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, 947507 (13 May 2015); doi: 10.1117/12.2177595
Show Author Affiliations
Chad Knight, Space Dynamics Lab. (United States)
Ross Deming, Solid State Scientific Corp. (United States)
Jake Gunther, Utah State Univ. (United States)

Published in SPIE Proceedings Vol. 9475:
Algorithms for Synthetic Aperture Radar Imagery XXII
Edmund Zelnio; Frederick D. Garber, Editor(s)

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