Patent ID: 11714182

Abstract:
A component-based system and method for rapidly generating artificial intelligence-enhanced real-time, multi-dimensional gridded aerial object classification and trajectory (state and orbital state vector) forecasts utilizing digital radar signals data collected at high rates of volume and velocity. The system performs data storage, retrieval, manipulation, communication, processing, and end user application tasks for accurate aerial object classification and vector forecasts. The data component serves as a data cache to store, retrieve, and manipulate data utilizing a plurality of functions under conditions of variable internet connectivity. The processing component includes an artificial intelligence machine learning component and logic for manipulating the data to generate gridded projections that are arrayed spatially and temporally. A post-processing component allows users to receive and retrieve automated predictions in a format suitable for end user application to automatically support and enhance the accuracy of aerial object classification and vector forecasts for aviation, aerospace, and ballistic applications.