The RUBIK Algorithm for Characterizing Sparse Interleaved Emitter Pulse Trains
Navy SBIR FY2013.1

Sol No.: Navy SBIR FY2013.1
Topic No.: N131-052
Topic Title: The RUBIK Algorithm for Characterizing Sparse Interleaved Emitter Pulse Trains
Proposal No.: N131-052-0443
Firm: Azure Summit Technology, Inc.
13135 Lee Jackson Highway, Suite 330
Fairfax, Virginia 22033
Contact: Mark Sullivan
Phone: (571) 308-1402
Web Site:
Abstract: 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.
Benefits: Azure Summit is currently doing significant active research and product development of SIGINT (COMINT and ELINT) and EW (ES, EP, and EA), including two SBIR Phase II efforts for PEO IWS 2.0 intended for eventual transition to SEWIP Block II. Azure is partnered with a Prime on both of these efforts, and this puts us in an excellent position to both undertake this research for NAVSEA, and also to ultimately ensure that it transitions into production solutions through the expected technology insertion spiral in the 2014-2015 timeframe.