Paper
26 August 2008 Laboratory demonstration of a multiple beam Fourier telescopy imaging system
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Abstract
A detailed laboratory experiment has been completed which models a simultaneous multiple beam Fourier telescopy (FT) technique capable of imaging rapidly changing objects. Fourier telescopy uses multiple beams that illuminate the target with a complex fringe pattern that sweeps across it due to frequency differences between beams. Using this method, the target spatial frequency components are encoded in the temporal signal that is reflected from the target. Previous work has concentrated on system designs where the target is illuminated with 3 individual beams in order to use a standard phase closure process. Data processing and image reconstruction for this laboratory experiment invoked a novel reconstruction algorithm that has been previously developed. The algorithm compensates for atmospheric phase fluctuations affecting the large number of beams transmitted simultaneously and includes a new type of global phase closure which allows image reconstruction from the time history of measured total reflected intensity from the target. The reconstruction algorithm also solves for hundreds of image Fourier components simultaneously, permitting rapid reconstruction of the image. This multiple beam laboratory experiment includes effects from realistic photon and speckle noise. Additional effects have been expanded to include uplink turbulence, piston jitter, and beam scintillation on the target, which will be encountered in an actual FT imaging system. Experimental results have obtained reconstructed image Strehl values which are greater than 0.9 under scaled system conditions.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. Louise Cuellar, Justin Cooper, James Mathis, and Paul Fairchild "Laboratory demonstration of a multiple beam Fourier telescopy imaging system", Proc. SPIE 7094, Unconventional Imaging IV, 70940G (26 August 2008); https://doi.org/10.1117/12.798533
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Cited by 3 scholarly publications.
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KEYWORDS
Signal to noise ratio

Fourier transforms

Reconstruction algorithms

Sensors

Spatial frequencies

Satellites

Modulation

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