Signal Processing

SAIC technologists work on the frontiers of advanced signal and image processing. Over the years, we pioneered breakthroughs in signal detection and direction finding to protect submarines, and automatically analyze synthetic aperture radar images. Our engineers even developed a new field of statistical detection and estimation theory, contributing to adaptive Wiener filter theory and its application to radar and communications.

We have been recognized for advancing the state of the art in adaptive processing algorithms that use multiple degrees of freedom to detect weak signals in complex environments. For example, we work on the leading edge of space-time adaptive processing to detect weak radar echoes from ground targets in the presence of large radar noise (motion-induced spread-Doppler clutter). Our work benefits the next generation of airborne surveillance radar systems.

A leader in underwater signal processing for three decades, SAIC provides critical research and analysis to help the U.S. Navy better detect hostile submarines and better protect friendly submarines. With the rise in regional conflicts and asymmetrical threats, the emphasis has shifted from open-ocean detection to shallow water near coastlines. In these waters, acoustic interference generated by surface ships and complex bottom interacting acoustic propagation pose new challenges. Our new algorithms enable towed sonar arrays to better detect and track ships even as the sub towing the sonar array maneuvers. We are also exploring new acoustic signal processing algorithms and advanced underwater acoustic communications using off-board sensors and unmanned vehicles.