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Closed-form expressions for digital-holographic detection in a laboratory setting
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Paper Abstract

Digital-holographic detection provides a distinct way forward to combat the low signal-to-noise ratios (SNRs) associated with tactical applications. With that said, past efforts studied the major digital-holographic recording geometries used with tactical applications and derived closed-form expressions for their SNRs. They also used wave-optics simulations to validate the use of these closed-form expressions and found that for real-world scenarios, where we interfere a comparatively weak-signal beam with a strong-reference beam, the associated “weak-strong” expressions are accurate. For a laboratory setting, however, we often set the signal and reference beams to be nearly equal in power. As such, in this paper we derive closed-form expressions for this specific use case. We also use wave-optics simulations to explore the accuracy of these “equal-power” expressions. Overall, the results show that the equal-power expressions are accurate.

Paper Details

Date Published: 6 September 2019
PDF: 18 pages
Proc. SPIE 11135, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2019, 111350C (6 September 2019); doi: 10.1117/12.2529645
Show Author Affiliations
Cameron J. Radosevich, Air Force Research Lab. (United States)
Mark F. Spencer, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 11135:
Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2019
Jean J. Dolne; Mark F. Spencer; Markus E. Testorf, Editor(s)

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