STATISTICAL ESTIMATE JAMMER POWER MANAGEMENT (U)

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.