An Adaptive Interpolator Algorithm For Area-Array Fine Guidance Sensors

Thomas A. Glavich

doi:10.1117/12.943174

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Abstract

The future implementation of a number of charge transfer device tracking and guidance sensors offers the opportunity to apply artificial intelligence to the problem of optimizing the tracking accuracy in a system whose optical performance is a function of time, field position, or source type. Intelligent sensors capable of optimizing their own performance can offer important reduction in the complexity and precision of the input optical system. The algorithm to be described uses multiple measurements of the optical line-spread function with known motion to define the parameters of a correction polynomial, which is applied to the raw centroid output. Several implementations of this algorithm are discussed, including hardware and software requirements, trade-offs between accuracy and speed, and ultimate performance. Results of a computer simulation of one implementation of the algorithm to Fine Guidance Sensor accuracy improvement of the Shuttle Infrared Telescope is described in detail. The effects of various optical defects on tracking performance with and without adaptive interpolator optimization will be shown. The use of the algorithm within the framework of a normal telescope is explained. The potential reduction in the wavefront quality of the imaging system is discussed.

Citation Download Citation

Thomas A. Glavich "An Adaptive Interpolator Algorithm For Area-Array Fine Guidance Sensors", Proc. SPIE 0485, Applications of Artificial Intelligence I, (14 June 1984); doi: 10.1117/12.943174; https://doi.org/10.1117/12.943174

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