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Universal Signal Matching for RF Threat Classification

Award Information

Department of Defense
Award ID:
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Michigan Aerospace Corporation
MI Ann Arbor, MI 48108-2285
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2009
Title: Universal Signal Matching for RF Threat Classification
Agency / Branch: DOD / NAVY
Contract: N68936-09-C-0109
Award Amount: $79,916.00


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.

Principal Investigator:

David Johnson
Senior Scientist

Business Contact:

Peter Tchoryk
Chief Executive Officer
Small Business Information at Submission:

1777 Highland Drive Suite B Ann Arbor, MI 48108

EIN/Tax ID: 383323642
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No