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The RUBIK Algorithm for Characterizing Sparse Interleaved Emitter Pulse Trains

Award Information

Department of Defense
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Azure Summit Technology, Inc.
3050 Chain Bridge Road, Suite 600 Fairfax, VA 22030-
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2013
Title: The RUBIK Algorithm for Characterizing Sparse Interleaved Emitter Pulse Trains
Agency: DOD
Contract: N00024-13-P-4022
Award Amount: $79,879.00


SEWIP Block 2 will utilize a fast-scanning ES receiver to rapidly acquire pulse data in the wideband threat spectrum. Depending on the scanning parameters, large gaps in pulse trains may confuse current deinterleaver technology, and ultimately confuse Emitter ID, which is already a challenge given densities of hundreds of emitters and therefore thousands of pulses to be associated into individual pulse trains. Azure offers a two-pronged approach to solving this problem: Leverage Azure"s Novel Emitter Parametrics NAVSEA SBIR; and, Azure"s proposed new RUBIK algorithm, which combines the functions of Deinterleaver and Emitter ID into a single processing block. In Phase I, Azure will utilize actual radar data collected in our lab, and also work with the Navy to obtain simulated data which is representative of the problem in the context of SEWIP Block 2.

Principal Investigator:

Mark Sullivan
Chief Scientist
(571) 308-1402

Business Contact:

Scott Bierly
(571) 308-1401
Small Business Information at Submission:

Azure Summit Technology, Inc.
13135 Lee Jackson Highway, Suite 330 Fairfax, VA -

EIN/Tax ID: 260528644
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No