The many phenomenological Infra-Red (IR) modeling programs currently in use require a large number of parameters to achieve a high degree of image simulation accuracy. When the parameter sets required by these programs are tabulated, the result is a large and diverse set of potential database attributes. In addition, these IR modeling programs are intended to satisfy the needs of a wide range of IR simulation users. To achieve the goals of Project 2851 in defining DoD Standard Simulator Data Bases, decisions must be made regarding which parameters should be included as attributes within the databases. The set of selected attributes must satisfy a wide variety of IR image simulation programs and users while being of reasonable size for storage in IR image generator databases.

McDonnell Douglas Training Systems assisted Project 2851 in the selection of these parameters by taking a three part approach to the task. First, current IR phenomenological models were studied and their required parameter sets were tabulated. Second, IR modeling experts and weapons systems users were surveyed to determine their needs. And third, a Quality Function Deployment analysis was performed to prioritize the parameters with respect to user needs, producing a set of IR database attributes that were recommended to Project 2851. This paper describes the results of the user survey, the evaluation process, and the recommended IR attribute set.