Accuracy of Gaussian approximation for simulating EO sensor response

Author

Ellliott, D.F. ; Hung, L.L. ; Leong, E. ; Webb, D.L.

Author_Institution

Rockwell Int. Corp., Anaheim, CA, USA

fYear

1996

fDate

3-6 Nov. 1996

Firstpage

868

Abstract

The method chosen for simulating an electro-optical sensor response function (SRF) has an appreciable affect on the time required for Monte Carlo simulations of kinetic kill and surveillance missions. A particularly efficient SRF model is a circularly symmetric Gaussian surface. This paper shows that for on-axis optics circularly symmetric Gaussian surfaces are close representations of SRFs. Approximation errors are shown to be less than the sensor RMS noise for an approximation centered on the optical axis and one 2.12/spl deg/ off the axis for signal-to-noise ratios (SNRs) of 43.5 and 12.6, respectively.

Keywords

Gaussian processes; Monte Carlo methods; approximation theory; digital simulation; electro-optical devices; optical transfer function; sensors; simulation; surveillance; EO sensor response simulation; Gaussian approximation accuracy; Monte Carlo simulation; SNR; approximation errors; circularly symmetric Gaussian surface; electrooptical sensor response function; kinetic kill mission; on-axis optics; optical axis; sensor RMS noise; signal to noise ratios; surveillance mission; Convolution; Detectors; Electrons; Electrooptic devices; Gaussian approximation; Mirrors; Optical noise; Optical refraction; Optical sensors; Optical surface waves;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-7646-9

Type

conf

DOI

10.1109/ACSSC.1996.599068

Filename

599068