Universal Signal Matching for RF Threat Classification

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68936-09-C-0109
Agency Tracking Number: N092-113-0158
Amount: $149,890.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2009
Solicitation Topic Code: N092-113
Solicitation Number: 2009.2
Small Business Information
1777 Highland Drive, Suite B, Ann Arbor, MI, 48108
DUNS: 969868298
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 David Johnson
 Senior Scientist
 (734) 975-8777
 djohnson@michaero.com
Business Contact
 Peter Tchoryk
Title: Chief Executive Officer
Phone: (734) 975-8777
Email: ptchoryk@michaero.com
Research Institution
N/A
Abstract
In response to Navy SBIR Topic N092-113, “Universal Signal Matching for RF Threat Classification,” Michigan Aerospace Corporation proposes a robust method to identify emitter Electronic Intelligence Notation types from sensor data streams based on state-of-the-art techniques in estimation and detection for radar signatures developed in the arena of Signals Intelligence for Specific Emitter Identification. Our approach combines advanced time-frequency analysis to generate feature vectors for individual pulses, with cluster analysis for de-interleaving. This provides the basis for identifying the frequency agility of pulses as well as the PRI agility of the radars. These features are then compared to a library using Ensembles of Decision Trees, which provide robust classification as well as known/unknown detection. The feature vectors of newly discovered emitters are added to the library and additional examples of previously-known emitters are added to supplement description of the higher-order statistics of the clusters of these emitters in feature space. RF data streams from observational platforms often contain instances of several emitters, multi-path artifacts, and receiver coloration. It is possible to obtain concurrent streams from multiple platforms. In this situation, we employ a technique like Blind Equalization Source Recovery to recover undistorted transmitted pulses from the plurality of sensors.

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

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