SBIR-STTR Award

The problem is to make accurate rf and time of arrival predictions of modern fire control radar pulse signals. The problem of effective prediction of rf and pri agile radar signals is currently unsolved. The technical approach is to utilize spectral measurement of the intentional modulation on pulse (IMOP) and the unintentional modulation on pulse (UMOP) for emitter correlation sorting and statistical least square predictions, as applied by kalman filtering, for jammer RF and time power management. Spectral measurements and correlation sorting will be accomplished with surface acoustic wave analog devices. Statistical estimate processing will be accomplished digitally through a parallel, multiprocessing network, featuring high speed independent and parallel memory access. A six calendar month, one man-year technical effort provides a feasibility analysis and a documented Phase II proof of feasibility test plan.

The problem addressed is effective self protection for close air support helicopters and special electronic mission (SEMA) standoff aircraft. The approach is generic radar "signature" assessment and correlation emitter sort, statistical estimate prediction of center fr equency and time of arrival, and, parameter measurement of modern "agile-agile" and coherent waveforms. The solution is implemented with soa technology in surface acoustic wave (SAW) devices, multiocave microwave devices and high speed digital microprocessors. An eingineering development "flyable test box" is proposed for initial laboratory demonstration and subsequent flight demonstration as part of developing esm/rwr/ecm systems such as medfli and scarecrow. The "test box" is to specifically demonstrate: monopulse "signature sort" in a dense, complex environment, center frequency accuracy for "agile-agile" and coherent waveforms, waveform parameter resolution and measurement accuracy