Volume 7 Issue 4
Aug.  2018
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Wang Jun, Zheng Tong, Lei Peng, Wei Shaoming. Study on Deep Learning in Radar[J]. Journal of Radars, 2018, 7(4): 395-411. doi: 10.12000/JR18040
Citation: Wang Jun, Zheng Tong, Lei Peng, Wei Shaoming. Study on Deep Learning in Radar[J]. Journal of Radars, 2018, 7(4): 395-411. doi: 10.12000/JR18040
shu

Study on Deep Learning in Radar

doi: 10.12000/JR18040

  • School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

Funds:  The National Natural Science Foundation of China (61501011, 61671035)
  • Received Date: 2018-05-22
  • Rev Recd Date: 2018-07-18
  • Publish Date: 2018-08-28
    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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