Generation of EW Libraries and Automatic Threat Identification (GELATI)

Electronic warfare (EW) systems classify emitters by matching the signals detected against reference signatures in a tactical EW library. Since emitter signals can differ markedly from their library signatures (due to drift, new modes, propagation effects, etc.), ships with AN/SLQ-32(V) or SEWIP Block 1/2 systems use a labor-intensive process to iteratively"tailor"or"color"reference signatures to more closely resemble the signals they expect to detect. To enable ships to automatically build and update their tactical EW librarieswhile improving their ability to respond to new threat emitterswe propose to develop a system for Generation of EW Libraries and Automatic Threat Identification (GELATI). GELATI will perform the following: (1) generate data sets containing representative signal parameters by thoroughly exploring the envelope of tactical and EW scenarios; (2) account for signal attenuation and distortion by noise and propagation effects; (3) compute recommended revisions to the reference signatures in the tactical EW library to optimize emitter classification performance; and (4) rapidly classify threat emitters even if their reference signatures are not yet updated. By leveraging existing and developing technologies, we will demonstrate GELATI"s conceptual and engineering feasibility in Phase I, while ensuring that GELATI successfully interfaces with current and future transition targets.