Itt Manufacturing Enterprises, Inc.

Paul C Wang

Mitchell Sparrow

Martin James Apa

Matthew Orr

Charles Richard Ward

A method of classifying radar emitters includes the steps of: (a) receiving pulses from multiple radar emitters over a plurality of consecutive first time intervals; (b) identifying pulses in each of the plurality of consecutive first time intervals corresponding to one or more first pulse trains using a first algorithm and de-interleaving the identified pulses from the plurality of first time intervals; (c) associating received pulses not identified and de-interleaved using the first algorithm with a plurality of consecutive second time intervals; and (d) identifying further pulses in each of the plurality of consecutive second time intervals corresponding to one or more second pulse trains using a second algorithm different from the first algorithm and de-interleaving the identified further pulses from the pulses associated with the plurality of consecutive second time intervals. Each consecutive second time interval is formed from two or more consecutive first time intervals.

System and method for detecting and de-interleaving radar emitters using snapshots of varying lengths

A method of classifying radar emitters includes the steps of: (a) receiving pulses from multiple radar emitters; (b) categorizing received pulses based on pulse data descriptors (PDWs); (c) forming clusters of received pulses based on the PDWs; and (d) de-interleaving pulses from the cluster using one of a differential time of arrival (DTOA) histogram technique, a spectrum estimation technique, or a Hough transform technique. Step (a) includes receiving the pulses during a predetermined time interval and storing the received pulses as a snapshot representing the pulses present during the predetermined time interval.

System and method for detecting and de-interleaving radar emitters

A system and method for classifying radar emitters includes: (a) receiving a plurality of signals from the radar emitters; (b) generating data components for each signal received from the radar emitters; (c) forming multi-dimensional samples using the generated data components; and (d) sorting the multi-dimensional samples into a plurality of data clusters, based on their respective proximity to the data clusters, each data cluster representing a classification of a radar emitter.

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Ridgewood, NJ, United States of America

Paul C Wang