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.

[1]  D. Elliott,et al.  Algorithms for EO sensor SNR enhancement and smoothing , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[2]  Douglas F. Elliott,et al.  Handbook of Digital Signal Processing: Engineering Applications , 1988 .

[3]  D. F. Elliott,et al.  Efficient image generation for EO system simulation , 1994, Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.

[4]  D. E. Elliott,et al.  Convolutional Relationships In Electro-Optical Sensors , 1990, 1990 Conference Record Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, 1990..

[5]  D. T. Cheung.  MTF modelling of backside-illuminated PV detector arrays , 1981 .