Compressed sensing of mono-static and multi-static SAR
Ivana Stojanovic, W. Clem Karl, Müjdat Çetin
SPIE Defense and Security Symposium, Algorithms for Synthetic Aperture Radar Imagery XVI, E. G. Zelnio and F. D. Garber, Eds., Orlando, Florida, April 2009
In this paper we study the impact of sparse aperture data collection of a SAR sensor on reconstruction quality of a scene of interest. Different mono and multi-static SAR measurement conﬁgurations produce different Fourier sampling patterns. These patterns reﬂect different spectral and spatial diversity trade-offs that must be made during task planning. Compressed sensing theory argues that the mutual coherence of the measurement probes is related to the reconstruction performance of sparse domains. With this motivation we compare the mutual coherence and corresponding reconstruction behavior of various mono-static and ultra-narrow band multi-static conﬁgurations, which trade-off frequency for geometric diversity. We investigate if such simple metrics are related to SAR reconstruction quality in an obvious way.