SBIR/STTR Research Award

Low SWAP-C Imaging Radar for Small Air Vehicle Sense and Avoid

Award identifier 0cb6916e9fc892ba0112efbc34b57c3b64cdb4a065bb7da86c803e5353aed923Awarding agency National Aeronautics and Space Administration

Award amount

$749,971

Program and phase

SBIR · Phase II

Award year

2021

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
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
KMB TELEMATICS, INC.
Proposal award date
2021-07-23
Contract end date
2023-01-22
UEI
E9VKCQKNJD45
Solicitation number
SBIR_20_P2
Topic code
A2

Research abstract

Unmanned aircraft systems (UAS) are poised to transform modern life. However, there remain barriers to increased adoption. NASA hasnbsp;recognized that current autonomous systems have poor perception of the environment.nbsp;This is a problem because detecting and avoiding non-cooperative aircraft in all weather is a key requirement for operation in the National Airspace (NAS).During Phase I of this SBIR, KMB Telematics performed a feasibility study to determine whether it was possible to design a small, lightweight radar that would allow small drones (lt;55 lbs.) see other small drones, as well as larger targets. This solves an unmet need in the market, as there is currently no DAA radar with low enough size, weight, power, and cost (SWAP-C) to be mounted on battery-operated small UAS (sUAS). This is a critical issue because sUAS use cases represent the majority of the total addressable market (TAM) currently imagined for the commercial drone market.nbsp;To solve this problem, the approach taken was to evaluate KMBrsquo;s proprietary imaging radar technology which was originally developed over 18 months of IRAD for the autonomous vehicle (AV) market. The Phase I Ramp;Dnbsp;concludednbsp;that it was possible to adapt KMB imaging radar to the UAS use case, resulting in a substantial improvement over the current state of the art.nbsp;Our goal in this SBIR Phase II is to develop anbsp;SWAP-Cnbsp;DAA radar system, which allows the sUAS to safely fly in the NAS. This would enable operators of these drones to obtain Part 107 waivers and hence directly enable BVLOS commercial drone operations. More specifically, we propose to build a prototype DAA radar whose key characteristics are:Power consumption of 20 W, one half the current state-of-the-artDeclares another sUAS at 750 m

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.

Research funding history

2 SBIR/STTR records share this UEI (2020–2021). Reported award amounts total $874,931. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: National Aeronautics and Space Administration

Agency intelligence

National Aeronautics and Space Administration

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.