LA JOLLA LOGIC INC — Department of Defense SBIR Phase I: N221-017

Description

The proposed Sirens system combines multiple TRL7-9 technologies currently in operation across the DoD into a highly capable RF sensor package capable of detecting, geolocating, and electronic attacking adversarial radar networks using a team of coordinated UAVs. The Sirens system leverages the Team’s vast combined experience developing TRL9 hardware and software for electronic intelligence and attack with a strong background in AI/ML and prototype integration for its development. The core RF expertise and capabilities not only directly provide a pathway to developing relevant RF detection, parameterization, geolocation, and electronic attack methods but also provide the ability to create high-fidelity training environments for training AI/ML methods for detecting new signals and reinforcement learning based multi-agent coordination. To support the proposed Sirens concept of operations and a rapid prototyping environment demonstration at the end of Phase 2, the team will leverage its other existing capabilities including a TRL7 quadrotor with an ELINT package, a TRL9 high-assurance differential GPS system to provide precise geolocation of adversarial emitters, and TRL9 anomaly detection systems. Developing the architecture of the Sirens system will leverages the team’s vast expertise in developing sensor and software systems for airborne systems, airborne control of multiple interconnected systems, modular/open software architecture, data assurance, artificial intelligence, manned-unmanned teaming/collaborative robotics, and machine learning. This collection of knowledge and experiences drastically reduces the risk associated with the development of the Sirens system for manned-unmanned teaming in a modern environment.