SBIR/STTR Research Award

Cognitive RF-Anomaly Detecting Receiver (CRADER)

Award identifier 9dddf28878d31761620cadcd8d319b39997c790c727812b7ad4c2d5b98cbdd0cAwarding agency Department of Defense · Navy

Award amount

$139,942

Program and phase

SBIR · Phase I

Award year

2022

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
ARROW SLATE LLC
Proposal award date
2022-06-06
Contract end date
2022-12-06
UEI
KC5FZZAFKLN5
Solicitation number
22.1
Topic code
N221-073

Research abstract

ArrowSlate seeks to design a modular and scalable standalone RF-Anomaly detecting receiver. The outcome of this proposal is to showcase real-time anomaly detection and alert within the order of seconds, and a goal on the order of microseconds. ArrowSlate’s solution is at minimum capable to detect RF anomalies for flexible, non-standard bandwidths under 500MHz, but can range from sub-MHz instantaneous bandwidth (IBW) to 5+GHz IBW. Our intent is to depict a proof of concept for a global RF anomaly detection that will fit many intended platforms including options for either software-only or hardware accelerated designs. This aids the adoption of this platform into various Navy program of record (PoR) receivers, and allows for adoption into any legacy receivers currently fielded. ArrowSlate asserts that the platform as proposed will not only perform the minimum required benchmarks as stated in the solicitation, but provide an immensely scalable base for future developments and system integration. This anomaly detection system is intended to serve the functionality of characterizing Radio Frequency (RF) emitter behaviors and patterns of life for a geographic area with no to minimal operator intervention. These RF behaviors include unexpected transmissions in time, frequency, or space (for any beamforming-capable nodes) domains. Additionally, our proposed system is designed to have the ability to detect anomalous modulation changes, radar pattern/pulse rate changes, anomalous Doppler shifts, and other "contextual anomalies".

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.

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.