Chaotic Modulation for Satellite Communications (SATCOM) Communications Systems

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15P7T-11-C-H254
Agency Tracking Number: A2-4512
Amount: $729,241.00
Phase: Phase II
Program: SBIR
Awards Year: 2011
Solicitation Year: 2009
Solicitation Topic Code: A09-063
Solicitation Number: 2009.2
Small Business Information
Terry Consultants Inc
1415 N. Taft Street, Suite 285, Arlington, VA, -
DUNS: 083703384
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 John Terry
 CEO
 (703) 349-5641
 drjdterry@gmail.com
Business Contact
 John Terry
Title: President
Phone: (703) 395-0257
Email: info@terryconsult.com
Research Institution
 Stub
Abstract
Next generation military communication beyond Increment 1 will need to operate in a number of hostile and complex environments. These communication needs include secure relay of imagery data, precedence communications, and dynamic reconfigurability to changing wireless attacks. With increasing use of unmanned Intelligence, Surveillance, and Reconnaissance (ISR) system, mission success has been come more intimately tie to the ability to communicate reliably and in a timely fashion. The research and subsequent hardware prototype from this research will address many of these needs. The chaos waveform is an inherently low probability of intercept (LPI)/ low probability of detect (LPD) waveform. The research conducted in Phase I of this SBIR and continued in Phase II has transformed these chaos waveform into highly effective and efficient communication waveforms. The chaotic waveform system developed will be able to operate as a secure satellite and airborne waveform as well as a fall back rate for tactical links when jamming prevents update of network situational awareness to the nodes. Additionally, the chaos waveform can be used to provide added security to narrowband legacy and/or commercial-off-the-shelf (COTS) waveforms. Last, the potential to use chaotic signal-in-space (CSiS) feature extraction as part of a hierarchical reasoning system is considered.

* information listed above is at the time of submission.

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