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      Study on Deep Learning in Radar

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          Abstract

          Electromagnetic waves are transmitted by radars and reflected by different objects, and radar signal processing is highly significant as its analyses can lead to the acquisition of important information such as the situation and radial movement speed. Moreover, deep learning has gained much attention in several fields, and it can be utilized to implement radar signal processing. Compared with the traditional methods, deep learning can realize automatic feature extraction and yield highly accurate results; hence, in this paper, the application of deep learning algorithm in radar signal processing is studied. In addition, the study directions in radar signal processing are summarized into overfitting and interpretation. Thus, these two issues are being considered.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 August 2018
          : 7
          : 4
          : 395-411
          Affiliations
          [1 ] (School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China)
          Article
          6d01b21fd7de4bceaeaa839700f4948b
          10.12000/JR18040

          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/

          Categories
          Technology (General)
          T1-995

          Remote sensing, Electrical engineering

          Signal processing, Radar, Deep learning

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