Monte Carlo Simulations Of Optical Processing Systems In Nuclear Environments

Phillip L. Jessen

doi:10.1117/12.965591

4 October 1979 Monte Carlo Simulations of Optical Processing Systems in Nuclear Environments

Phillip L. Jessen

Proceedings Volume 0187, System Aspects of Electro-optics; (1979) https://doi.org/10.1117/12.965591
Event: 1979 Huntsville Technical Symposium, 1979, Huntsville, United States

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.

Citation Download Citation

Phillip L. Jessen "Monte Carlo Simulations of Optical Processing Systems in Nuclear Environments", Proc. SPIE 0187, System Aspects of Electro-optics, (4 October 1979); https://doi.org/10.1117/12.965591

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