MemComputing worked with the U.S. Space Force to develop a satellite design tool that optimizes the tracking & processing of high-speed aerial targets & delivers that information to the warfighter in a timely fashion. Learn about this challenging problem and how our solution is poised to transform current and future satellite capabilities.
The US Air Force relies heavily on satellite imagery for a large range of combat operations. It is imperative that the processing, accuracy, and dissemination of this data is both rapid and reliable in order to maximize the performance of the warfighter. Although today’s satellites are very sophisticated, there are still great challenges when tracking high-speed aerial targets. This is due to varying satellite orbits, communication networks, processing techniques, and time constraints. Ultimately, this hinders the DoD’s ability to efficiently react to potential aerial threats.
In this case study, we discuss MemComputing’s solution for a Phase II SBIR contract commissioned by AFWERX and performed with the USAF Space Directorate/Space Force. For this project, MemComputing developed a unique software-based solution, the MemLEO-sat Design Tool, for the automated design and optimization of proliferated Low Earth Orbit (LEO) satellites. In this platform, we deploy MemComputing’s bleeding-edge optimization methods as well as advanced simulation models for the tracking, detection, and classification of flying targets using state of the art sensors, hardware, and algorithms. This solution also includes a high-fidelity communication architecture that utilizes an efficient MemComputing algorithm to orchestrate a network of satellites to perform optimized distributed communication.
While this tool is specifically optimized for tracking moving targets, with minor modifications it can be used for almost any optimization application required by p-LEO Satellite constellations. A commercial example could be deploying satellite-based internet communications where the client’s goal is to optimize the coverage over land masses.