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We propose a new sequential deconvolution algorithm, that is applicable to imaging using moving and synthetic aperture arrays. The new method results in a higher resolution and a more accurate estimation than commonly used methods when strong interfering sources are present inside and outside the field of view (terrestrial interference, confusing sources). We demonstrate the algorithm performance...
Achieving better imaging of weak sources in the presence of strong interfering sources is a major challenge in various fields of signal processing, such as radio astronomy, SAR imaging, SONAR and wideband signal processing. We present a new algorithm for parameter estimation that can be implemented when a moving array is used. This adaptive beamformer can be employed in a variety of applications,...
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