The RUBIK Algorithm for Characterizing Sparse Interleaved Emitter Pulse Trains
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.
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