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Adaptive image reconstruction for sparse arrays using single-cycle terahertz pulses

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Abstract

We demonstrate a noniterative adaptive reconstruction technique to significantly improve the imaging performance of sparse terahertz arrays employing single-cycle pulses. Grating lobe artifacts are suppressed by an adaptive weighting factor derived from the temporal coherence of signals from neighboring array elements. Image quality is further improved by a second weighting factor based on the spatial coherence of signals across the entire array. Experiments are performed with a synthetic aperture two-dimensional sparse array of 56×56 elements. Our reconstruction technique suppresses artifacts by 30dB.

© 2010 Optical Society of America

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