Electronic Sensor Precision Feature Extraction Pre-processor

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,866.00
Award Year:
2003
Program:
SBIR
Phase:
Phase I
Contract:
N00178-03-C-2058
Agency Tracking Number:
N031-2063
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
RESEARCH ASSOC. OF SYRACUSE
6780 Northern Blvd, Ste 100, East Syracuse, NY, 13057
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
153924188
Principal Investigator:
Richard Wiley
Chief Scientist & Vice Pr
(315) 463-2266
dwiley@ras.com
Business Contact:
Doug Shields
President
(315) 463-2266
dbshields@ras.com
Research Institution:
n/a
Abstract
With the ever increasing complexity and density of the threat environment anticipated to be encountered by today's and tomorrow's EW systems, the need exists for a reconfigurable and adaptive real-time pulse feature extraction processor with enhancedcapabilities beyond that employed in most operational Electronic Support (ES) or Radar Warning Receivers (RWR). Automatic detection, identification, and classification of such systems is desired to ease operator workload in dense signal environments. Theemployment of a Feature Extraction Pre-Processor can be used to enhance a host Electronic Surveillance System's Emitter Track and ID capabilities using observable intentional modulation on pulse (IMOP) unintentional modulation on pulse (UMOP) features.Techniques employed in the development and integration of detection, measurement, and typing algorithms can be used to develop products to automate air traffic control operations, easing ATC operator burden and increase situational awareness. Theanticipated benefits include a low-cost, reconfigurable device based on FPGA based COTS board technology. Other potential applications include, in addition to upgrades to currently fielded and new planned systems, a reduced size version for UAVs. Usingthe VHDL design code provided on this effort, custom higher gate density FPGAs or even more efficient ASICs could be used to achieve size reduction necessary for UAV ELINT applications. In addition, individual algorithms can be easily modified withoutentire cardset redesign. Finally, many of the algorithms developed or implemented herein can be readily applied to characterizing the external features of communication signals (e.g. COMEX), or to perhaps characterizing certain wireless or cell phonemodulations for the purposes of identification and location to support Homeland Defense initiatives.

* information listed above is at the time of submission.

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