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      Aircraft Target Classification Based on Correlation Features from Time-domain Echoes

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          Abstract

          This paper reports the classification of helicopters, propeller-driven aircraft, and turbojet based on differences in their time-domain modulation periods using a conventional radar system. First, we determine the modulation periods of their time-domain echoes. Then, based on the differences in the time-domain modulation periods, we propose a method for the extraction of time-domain correlation features. Finally, based on the simulated and measured data, via a support vector machine classifier, it is proved that the time-domain correlation features can yield the good classification performance, even with the relatively low pulse repetition frequency, which may induce the ambiguity in Doppler-frequency domain.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 December 2015
          : 4
          : 6
          : 621-629
          Affiliations
          [1 ] National Laboratory of Radar Signal Processing, Xidian University
          Article
          7713c4d8966046a28340ad1dd79c9a27
          10.12000/JR15117
          3762f925-c503-43c2-805f-419ab760b3c2

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          History
          Categories
          Technology (General)
          T1-995

          Remote sensing,Electrical engineering
          Micro-Doppler effect,Feature extraction,Target classification

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