Channel Logistics, LLC — Department of Defense SBIR Phase I: AF193-CSO1

Description

The current ISR PED cycle has inherent latency, accentuated by stove piped data repositories for distributed space sensors. US Air Force Lt. General Charles Q. Brown, Jr. currently COM PACAF unequivocally conveyed his priority to improve the cycle. This proposal provides 2 sensors (SAR and AIS) collocated on the same Synthetic Aperture Radar satellite. The satellite is a 440kg in LEO positioned in a Sun-synchronous orbit. 70% of earth surface is water and a distinct challenge outlined by Airmen is to help improve the non-kinetic aspect of identifying threats to improve Battlespace Awareness thru Tactical Intelligence while addressing the OPIR mission. In addition a cloud-based CATE™ (Computer Assisted Threat Evaluation) engine aggregates 50+ maritime data sources and analyzes all targets discovered for asymmetric threats in a 2000 mile radius. This is done thru automated analytics of multiple data sets (Compliance, Governance, Sanctions, Law Enforcement, Asymmetric Threats etc.) to help reduce the PED (Processing, Exploitation and Dissemination) cycle. The Big Data engine leverages the Microsoft platform and the Amazon Web Service cloud to produce scale-able Unclassified ISR context around the Synthetic Aperture Radar targets geo-location. This dynamic ‘ISR Analytics’ data helps improve Tipping and Cuing for other national assets.