SBIR/STTR Research Award
Defeating Cognitive Sensors
Award amount
$139,976Program and phase
SBIR · Phase IAward year
2020Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- VADUM INC
- Proposal award date
- 2020-01-23
- Contract end date
- 2020-07-27
- UEI
- V1NUDAVNFVK1
- Solicitation number
- 19.3
- Topic code
- N193-143
Research abstract
Future cognitive radars will be threatened by jammers which employ cognitive capabilities to disrupt sensor capability. As cognitive capabilities are developed and deployed in packages of decreasing SWAP, script-based electronic protection systems relying heavily on a-priori information will be increasingly vulnerable. Cognitive electronic protection represents a capability that can restore the function of radar systems when faced with cognitive jammer threats. Vadum will develop the Electronic Warfare Advanced Capability Estimation (EW-ACE) suite of algorithms to provide electronic protection against cognitive jammer systems. The EW-ACE algorithms on Pulse Descriptor Words (PDWs) or similar high-level descriptions of received emissions and consist of association, characterization and inference algorithms. These algorithms are connected by a Jammer Behavior Object (JBO) which serves as a hierarchical data structure for storing information about both jammer observations (i.e., incoming PDWs) and inferences made during the execution of the algorithm. The JBO is a persistent data structure capturing a description of jammer behavior sufficient for EW-ACE to suggest electronic protection measures. After the execution of electronic protection measures, EW-ACE will monitor the response of the jammer and assess the effectiveness of the measures. The results of the assessment will be captured within the JBO for post-mission analysis.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Context Aware Machine Learning Signal System
- Volumetric Reconstruction of Combustion Dynamics with Multimodal Sensor Fusion
- Video Analysis of Drug & Human Smuggling Activities
- Cognitive Software Algorithms Techniques for Electronic Warfare
- LLM-based Analysis and Structuring of multi-modal C4 data with Explainable Reasoning from Trustworthy Adaptation and Generation
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.