SBIR/STTR Research Award
DeepConsensus: Deep learning-based distributed consensus approach for heterogeneous spectrum sensors
Award amount
$1,000,000Program and phase
STTR · Phase IIAward year
2024Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- ANDRO COMPUTATIONAL SOLUTIONS LLC
- Proposal award date
- 2024-08-05
- Contract end date
- 2026-08-04
- UEI
- RJP8JJQGMKY4
- Solicitation number
- 23.A
- Topic code
- N23A-T017
Research abstract
ANDRO proposes DeepConsensus ¢ a distributed spectrum sensing and consensus building technology designed for operating with heterogeneous and dynamic environment ¢ to address the NavyÆs requirement for comprehensive spectrum awareness to facilitate efficient dynamic spectrum allocation (DSA). The proposed DeepConsensus technology is a flexible and hierarchical architecture designed to accommodate heterogenous sensors to provide operators and the decision engine a consolidated view of spectrum usage to enhance DSA. DeepConsensus adopts the cutting-edge AI/ML approaches to perform decentralized spectrum sensing and information exchange to generate unified network-wide channel map. This effort is intended to fulfill the DoDÆs strategic spectrum planning roadmap. The AI-based solution will be designed to be platform agnostic with defined interfaces to facilitate accelerated adoption and transitioning to DoD platforms.
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.
- Drone-HAWK: Software-defined Modular Multi-domain Drone Threat characterization system
- RF-Gen: AI/ML Ready RF Data with Automated Augmentation and Adversarial Resilience
- O244-P002-0107 CyberFort: Fortified Zero-Trust Security for 5G/FutureG Networks
- Federated Open Source Beyond 5G (B5G) Test Environment – Enabling NextG AI/ML and Security Solutions
- Robust Autonomy for NeGation of Enemy Radar (RANGER)
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Basis Expansion with Transformer and Two-map Spectrum Inference (BETTSI)
- DeepConsensus: Deep learning-based distributed consensus approach for heterogeneous spectrum sensors
- Distributed Consensus for Coherent Spectrum Sensing
Research funding history
68 SBIR/STTR records share this UEI (1995–2025). Reported award amounts total $39,379,837. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense, Department of Homeland Security