Sensor Data Fusion: Multi-Static Space Object Imaging

The goal of this project is to develop, evaluate and demonstrate sensor fusion algorithms for target imaging/discrimination. These algorithms will require data from multiple radars viewing the object from different angles. These radars may operate in different frequency bands (X-band, C-band, S-band, L-band). The algorithms will consider the coherent processing of multiple mono-static radars and the coherent processing of the data from these radars operating in simultaneous mono-static and bi-static modes. Key performance parameters which will be used to compare the sensor fusion approach to single sensor imaging/discrimination will be: (1) image resolution time required to achieve a required resolution, (3) image quality (Radar NIIRS), and (4) ability to form three-dimensional images. This project will develop a multi-static multi-band radar simulation, investigate fusion algorithms and validate these results with a multi-static imaging demonstration. The validated simulation will be employed to evaluate the discrimination performance of various MDA systems and future concepts.