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Wideband Autonomous Cognitive Radios for Networked Satellites Communications

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX15CC80P
Agency Tracking Number: 150007
Amount: $123,069.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T5.01
Solicitation Number: N/A
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-06-17
Award End Date (Contract End Date): 2016-06-17
Small Business Information
801 University SE Ste 100
Albuquerque, NM 87106-4345
United States
DUNS: 079661742
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Christos Christodoulou
 (505) 277-6580
Business Contact
 Sudharman Jayaweera Kankanamge
Title: Business Official
Phone: (505) 615-1807
Research Institution
 The Regents of the University of New Mexico
 Shannon Carr
1700 Lomas Blvd NE Ste 2200, MSC-01 1247
Albuquerque, NM 87131-0001
United States

 (505) 277-1264
 Domestic Nonprofit Research Organization

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.

* Information listed above is at the time of submission. *

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