Abstract: In this paper we discuss the development of a new computer tool, InfraRed Design Optimization Code (IRDOC), for the design of infrared sensors. IRDOC consists of a robust model for IR sensors and a powerful optimizing algorithm. The model predicts the signal-to-noise (including clutter) ratio (SNR) with filtering. The model combines important features of spatial-frequency-domain analysis and time-domain analysis. The program inputs a number of system parameters, several constraints, and the allowed ranges for the sensor variables from the user. IRDOC determines the set of variables within their allowed ranges and subject to the constraints, that maximizes the signal-to- noise ratio. A generic example of a point detection sensor and an example of an imaging sensor using scanning sensors are optimized for a variety of background conditions.!3
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