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Proceedings Paper

Monte Carlo Simulations Of Optical Processing Systems In Nuclear Environments
Author(s): Phillip L. Jessen
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Paper Abstract

A few mosaic focal plane sensors (to permit high data throughput) appear to be cost effective for space surveillance relative to larger numbers of low throughput sensors. Energetic space radiations generate noise which can be reduced by data processing. Throughput requirements dictate digital processes, which creates interest in digital noise reduction algorithms. Algorithms that reduce the noise due to Poisson distributed bursts of conduction (such as those which result from ionizing radiation and "spiking") in LWIR detectors were synthesized and evaluated using Monte Carlo techniques. These algorithms were chosen to provide improved performance at high event rates and for compatability with low background LWIR sensor systems using large numbers of detectors. The results show that quite useful sensor perfoTance 4s attainable for credible ranges of sensor parameters and for event rates in the range of 10 to 10 per second per detector. Also, signal amplitude and tracking accuracies are preserved at the expense of data throughput, whereas most current algorithms have exhibited large degradations in amplitude and track accuracy. While the data processing burden has not been assessed in detail, it is believed to be similar in magnitude to that for other algorithms which are being considered.

Paper Details

Date Published: 4 October 1979
PDF: 8 pages
Proc. SPIE 0187, System Aspects of Electro-optics, (4 October 1979); doi: 10.1117/12.965591
Show Author Affiliations
Phillip L. Jessen, Kaman Sciences Corporation (United States)

Published in SPIE Proceedings Vol. 0187:
System Aspects of Electro-optics
Harold B Jeffreys, Editor(s)

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