Compressed sensing of monostatic and multistatic SAR
Stojanovic, Ivana and Çetin, Müjdat and Karl, W. Clem (2013) Compressed sensing of monostatic and multistatic SAR. IEEE Geoscience and Remote Sensing Letters, 10 (6). pp. 1444-1448. ISSN 1545-598X
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Official URL: http://dx.doi.org/10.1109/LGRS.2013.2259794
In this letter, we study the impact of compressed data collections from a synthetic aperture radar (SAR) sensor on the reconstruction quality of a scene of interest. Different monostatic and multistatic SAR measurement configurations produce different Fourier sampling patterns. These patterns reflect different spectral and spatial diversity tradeoffs 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 propose a closely related t%-average mutual coherence parameter as a sensing configuration quality parameter and examine its relationship to the reconstruction behavior of various monostatic and ultranarrow-band multistatic configurations. We investigate how this easily computed metric is related to SAR reconstruction quality.
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