System and method for detecting and de-interleaving radar emitters
First Claim
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1. A method of classifying radar emitters comprising 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) extracting pulses from at least one of the formed clusters, based on pulse repetition intervals (PRIs) between the extracted pulses, to form a pulse train belonging to a radar emitter;
wherein forming clusters includes sorting the PDWs based on each PDW'"'"'s Euclidean distance from the center of a respective cluster.
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Abstract
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.
44 Citations
19 Claims
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1. A method of classifying radar emitters comprising the steps of:
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(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) extracting pulses from at least one of the formed clusters, based on pulse repetition intervals (PRIs) between the extracted pulses, to form a pulse train belonging to a radar emitter; wherein forming clusters includes sorting the PDWs based on each PDW'"'"'s Euclidean distance from the center of a respective cluster. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method of classifying radar emitters comprising the steps of:
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(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; wherein forming clusters includes sorting the PDWs based on each PDW'"'"'s Euclidean distance from the center of a respective cluster. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A system for classifying radar emitters comprising
a receiver for receiving a plurality of signals from radar emitters, a processor coupled to the receiver for (a) generating data components for each signal received from the radar emitters, (b) forming multi-dimensional samples from the generated data components, (c) sorting the multi-dimensional samples into a plurality of data clusters, based on their respective proximity to a center of each data cluster, and (d) extracting pulses from at least one of the formed clusters, based on pulse repetition intervals (PRIs) between the extracted pulses, to form a pulse train belonging to a radar emitter, wherein the processor is configured to sort the multi-dimensional samples based on each sample'"'"'s Euclidean distance from the center of a respective cluster.
Specification