Share Email Print

Proceedings Paper

Statistical Sensor Performance Analysis
Author(s): George E. Mavko; Irvin M. Winer
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A new technique developed at General Dynamics Convair Division permits rapid calculation of sensor performance including full statistical treatment of atmospheric and target conditions. The most common statistical method in use relies on the Monte Carlo technique in which thousands of single point calculations are made with data from a random number generator. The Monte Carlo method is replaced by a closed form calculation requiring orders of magnitude less computer time. The probability density function of atmospheric attenuation is used along with the appropriate distribution of target characteristics. The probability density function of the video signal-to-noise ratio is calculated directly using simple numerical integration. Performance criteria can then be applied to the curve for either observer or autonomous operation. Sample results are presented of FLIR and laser 3-D imager performance against targets in European atmospheric conditions.

Paper Details

Date Published: 24 April 1980
PDF: 7 pages
Proc. SPIE 0219, Electro-Optical Technology for Autonomous Vehicles, (24 April 1980); doi: 10.1117/12.958554
Show Author Affiliations
George E. Mavko, General Dynamics Convair Division (United States)
Irvin M. Winer, General Dynamics Convair Division (United States)

Published in SPIE Proceedings Vol. 0219:
Electro-Optical Technology for Autonomous Vehicles
Ronald N. Hubbard, Editor(s)

© SPIE. Terms of Use
Back to Top