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Accuracy of Gaussian approximation for simulating EO sensor response
By: Ellliott, D.F.; Webb, D.L.; Leong, E.; Hung, L.L.;
1996 / IEEE / 0-8186-7646-9
This item was taken from the IEEE Periodical ' Accuracy of Gaussian approximation for simulating EO sensor response ' 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.
Monte Carlo Methods
Gaussian Approximation Accuracy
Eo Sensor Response Simulation
Electrooptical Sensor Response Function
Kinetic Kill Mission
Circularly Symmetric Gaussian Surface
Sensor Rms Noise
Signal To Noise Ratios
Optical Surface Waves
Optical Transfer Function
Monte Carlo Simulation