SBIR/STTR Research Award

RF Vision: Distributable, Operator-Friendly Autonomous RF Characterization System

Award identifier 322c11e2dd0c81299b8fcbca8061dad94e35d26d351575300cc79bd9b44c683dAwarding agency Department of Defense · Army

Award amount

$1,963,209

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
DISTRIBUTED SPECTRUM INC.
Proposal award date
2025-04-04
Contract end date
2026-10-07
UEI
VJHHQK99CRH3
Solicitation number
24.4
Topic code
A244-027

Research abstract

Distributed Spectrum (DS) is enhancing its RF Vision platform to meet the specific needs of the Army and USASOC by integrating new backhaul systems and data ingest systems. The RF Vision platform is designed to provide comprehensive situational awareness and electronic warfare (EW) capabilities through a network of distributed sensors that monitor the RF environment, autonomously characterize signals, and report outputs in an easily understandable format for war fighters. RF Vision is hardware agnostic, allowing it to integrate seamlessly with various RF hardware, antennas, network configurations, power sources, communication backhauls, edge computing devices, and data ingest platforms. This flexibility ensures that RF Vision can adapt to different operational scenarios and hardware setups without requiring significant changes to the software.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

5 SBIR/STTR records share this UEI (2022–2025). Reported award amounts total $3,593,074. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II, Phase II

Agencies: Department of Defense, National Science Foundation

Agency intelligence

Department of Defense

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