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A feature extraction method for the signal sorting of interleaved radar pulse serial |
GUO Qiang, ZHANG Xingzhou, LI Zheng |
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China; |
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Abstract In this paper, a new feature extraction method for radar pulse sequences is presented based on structure function and empirical mode decomposition. In this method, 2-D feature information was constituted by using radio frequency and time-of-arrival, which analyzed the feature of radar pulse sequences for the very first time by employing structure function and empirical mode decomposition. The experiment shows that the method can efficiently extract the frequency of a period-change radio frequency signal in a complex pulses environment and reveals a new feature for the signal sorting of interleaved radar pulse serial. This paper provides a novel way for extracting the new sorting feature of radar signals.
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Issue Date: 05 September 2007
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