SBIR/STTR Research Award

Cross-Layer Wide-Band Cognitive Communications Architecture Enabled by Intelligent Direct Digital Transceiver (CLAIRE)

Award identifier 2e573dcce587c5c403d712f545558ed57b9c540046c8017b90909ce52170e57cAwarding agency National Aeronautics and Space Administration

Award amount

$124,776

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
A10 Systems Inc. d/b/a AiRANACULUS
Proposal award date
2020-08-19
Contract end date
2021-03-01
UEI
K7G4YKXUCSE3
Solicitation number
SBIR_20_P1
Topic code
H9

Research abstract

AiRANACULUS, Northeastern Universitynbsp;and NWRA supported by DRAPER propose an innovative Cross-layer Wide-Band Cognitive Communications Architecture Enabled by Intelligent Direct Digital Transceiver (CLAIRE) to meet the NASA#39;s Space Communication and Navigation (SCaN) needs to increase mission science data return, improve resource efficiencies for NASA missions and communication (Comms) networks and ensure resilience in the unpredictable space environment. The CLAIRE cognitive system is envisioned to sense, detect, adapt, and learn from its experiences and environment to optimize the Comms capabilities for the user mission of the network infrastructure. Our Comms Node will reduce both the mission and network operations burden. This will entail research and development ofnbsp;Cross-layer Sensing (CLS) and the CLAIRE Decision Engine (CDE) which uses machine learning over short term and long term along with game theoretic decision to define the strategy and technique to mitigate the interference and restore the network performance. The CLS consists of RF sensing and Cyclostationary-Signal Processing analysis, Cross-layer Feature Extraction and Environment Characterization and Pattern Classification Modules. The CDE consists of the Long-term Response Engine which is driven by the Game-theoretic approaches, and the Rapid Response Engine, which is driven by Deep Reinforcement Learning (DRL) techniques. We propose to use ofnbsp;Supervised DRL Model Selection and Bootstrap for rapid bootstrapping. Finally, we also propose tonbsp;conduct research into new state-of-the-art Direct Digital Transceiver (DDTRX) Technologies for potential application for NASArsquo; s mission. Latest advances in the DDTRX Technology provide sampling rates of 64 Gsps, instantaneous bandwidths of 20 GHz with four coherent channels and 8-bits per sample of quantization. This allows us to use any spectrum from VHF/UHFnbsp;to Ku/ Ka Band on a single radio which will reduce the SWAP and could be of great interest to NASA.

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

16 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $9,105,161. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, National Aeronautics and Space Administration

Agency intelligence

National Aeronautics and Space Administration

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