SBIR/STTR Research Award

Wideband Autonomous Cognitive Radios for Networked Satellites Communications

Award identifier 9feabd5a46f277b035135d225efcc6e809e70e232f76ab3b061fce7f693c39b0Awarding agency National Aeronautics and Space Administration

Award amount

$123,069

Program and phase

STTR · Phase I

Award year

2015

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
BLUECOM SYSTEMS & CONSULTING LLC
Proposal award date
2015-06-17
Contract end date
2016-06-17
UEI
F4XDDNKUM4D3
Solicitation number
Not reported
Topic code
T5.01

Research abstract

There is growing recognition that success in a variety of space mission types can be greatly enhanced by making current communication transceivers and networks evolve towards networked communication systems that are intelligent, self-aware and thus can support greater levels of autonomy. This will be especially relevant as networked clusters of smaller-size satellites, made of CubeSats or microsatellites, are more and more used in place of a single monolithic satellite. The proposed wideband autonomous cognitive radios (WACRs) provide an ideal approach to achieving such autonomous and network-aware communications. The BlueCom team proposes to design and develop WACRs during the Phase I of this project by integrating a real-time reconfigurable radio front-end and a field programmable gate array implemented cognitive engine on to a software-defined radio (SDR) platform. WACRs will have the ability to sense state of the RF spectrum and network and self-optimize its performance in response to the sensed state. The cognitive engine is made of machine-learning aided algorithms to achieve this goal. The SDR platform coupled with a real-time reconfigurable RF front-end will allow the WACR to reconfigure its communication mode as directed by the cognitive engine. This will enable a WACR to overcome communications challenges encountered in space applications including interference, deep fading, waveform agility, delay and very low SNR by dynamically changing its mode of operation. This type of self-aware, autonomous and intelligent communication is what will be required to exploit the full benefits of networked clusters of satellites (e.g. CubeSats) in various mission types including earth monitoring and unmanned autonomous lunar/ planetary exploration. Phase I deliverables will include a detailed design of a WACR system architecture and a cognitive engine as well as development of cognitive algorithms and a real-time reconfigurable RF front-end/antennas.

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

7 SBIR/STTR records share this UEI (2015–2019). Reported award amounts total $3,177,898. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Defense, 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.