Risley prism universal pointing system (RPUPS)

John Dixon; James R. Engel; Robert Vaillancourt; Craig Schwarze; Kevin Potter

doi:10.1117/12.2188088

3 September 2015 Risley prism universal pointing system (RPUPS)

John Dixon, James R. Engel, Robert Vaillancourt, Craig Schwarze, Kevin Potter

Proceedings Volume 9579, Novel Optical Systems Design and Optimization XVIII; 95790B (2015) https://doi.org/10.1117/12.2188088
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

Abstract

OPTRA is currently developing a Risley Prism Universal Pointing System (RPUPS): a highly customizable cued beamsteering system. The RPUPS consists of a visible or infrared cueing imager co-aligned with an optical beam steering system’s pointing-field-of-regard. The cueing imager is used to identify a region-of-interest within its wide field-of-view, via a wireless tablet device. The tablet user can choose to manually or automatically, identify and track regions-of-interest. The optical beam steering system uses a matched pair of Risley Prisms to direct an interrogating optical system’s instantaneous-field-of-view onto the identified region-of-interest. The tablet updates the user with real time information from both the cueing imager and the interrogating optical system. Risley prism material and geometry choices provide operating wavelength, aperture size, and field-of-regard flexibility for this front-end pointing component. Back-end components may be receive-only, transmit-only, or transmit/receive combinations. The flexibility of the RPUPS allows for mission specific customization where applications include but are not limited to: synthetic foveated imaging, spectroscopic probes and laser (LIDAR) ranging and tracking. This paper will focus on the design and anticipated applications of the RPUPS.

Citation Download Citation

John Dixon, James R. Engel, Robert Vaillancourt, Craig Schwarze, and Kevin Potter "Risley prism universal pointing system (RPUPS)", Proc. SPIE 9579, Novel Optical Systems Design and Optimization XVIII, 95790B (3 September 2015); https://doi.org/10.1117/12.2188088

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