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Proceedings Paper

Quantum enhanced lidar resolution with multi-spatial-mode phase sensitive amplification
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Paper Abstract

Phase-sensitive amplification (PSA) can enhance the signal-to-noise ratio (SNR) of an optical measurement suffering from detection inefficiency. Previously, we showed that this increased SNR improves LADAR-imaging spatial resolution when infinite spatial-bandwidth PSA is employed. Here, we evaluate the resolution enhancement for realistic, finite spatial-bandwidth amplification. PSA spatial bandwidth is characterized by numerically calculating the input and output spatial modes and their associated phase-sensitive gains under focused-beam pumping. We then compare the spatial resolution of a baseline homodyne-detection LADAR system with homodyne LADAR systems that have been augmented by pre-detection PSA with infinite or finite spatial bandwidth. The spatial resolution of each system is quantified by its ability to distinguish between the presence of 1 point target versus 2 closely-spaced point targets when minimum error-probability decisions are made from quantum limited measurements. At low (5-10 dB) SNR, we find that a PSA system with a 2.5kWatts pump focused to 25μm × 400μm achieves the same spatial resolution as a baseline system having 5.5 dB higher SNR. This SNR gain is very close to the 6 dB SNR improvement possible with ideal (infinite bandwidth, infinite gain) PSA at our simulated system detection efficiency (0.25). At higher SNRs, we have identified a novel regime in which finite spatial-bandwidth PSA outperforms its infinite spatial-bandwidth counterpart. We show that this performance crossover is due to the focused pump system's input-to-output spatial-mode transformation converting the LADAR measurement statistics from homodyne to heterodyne performance.

Paper Details

Date Published: 6 September 2011
PDF: 16 pages
Proc. SPIE 8163, Quantum Communications and Quantum Imaging IX, 81630Z (6 September 2011); doi: 10.1117/12.903351
Show Author Affiliations
Cesar A. Santivanez, Raytheon BBN Technologies (United States)
Saikat Guha, Raytheon BBN Technologies (United States)
Zachary Dutton, Raytheon BBN Technologies (United States)
Muthiah Annamalai, The Univ. of Texas at Arlington (United States)
Michael Vasilyev, The Univ. of Texas at Arlington (United States)
Brent J. Yen, Massachusetts Institute of Technology (United States)
Ranjith Nair, Massachusetts Institute of Technology (United States)
Jeffrey H. Shapiro, Massachusetts Institute of Technology (United States)

Published in SPIE Proceedings Vol. 8163:
Quantum Communications and Quantum Imaging IX
Ronald E. Meyers; Yanhua Shih; Keith S. Deacon, Editor(s)

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