Recent Research Trends of Machine Learning-Based Radar Techniques 


Vol. 43,  No. 8, pp. 1382-1385, Aug.  2018
10.7840/kics.2018.43.8.1382


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  Abstract

In this letter, we summarize recent research trends of machine learning (ML) techniques for radar applications. In particular, we first categorize the radar technique components as follows: Radar system, radar antenna, radar transmitter & receiver, and radar signal processor. Then, we investigate the future research directions of recent proposed ML-based radar techniques.

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  Cite this article

[IEEE Style]

D. Kim, B. C. Jung, C. Kim, S. Jeon, J. Kim, "Recent Research Trends of Machine Learning-Based Radar Techniques," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 8, pp. 1382-1385, 2018. DOI: 10.7840/kics.2018.43.8.1382.

[ACM Style]

Dong-Hwan Kim, Bang Chul Jung, Choul-Young Kim, Sang-Woon Jeon, and Jin-Woong Kim. 2018. Recent Research Trends of Machine Learning-Based Radar Techniques. The Journal of Korean Institute of Communications and Information Sciences, 43, 8, (2018), 1382-1385. DOI: 10.7840/kics.2018.43.8.1382.

[KICS Style]

Dong-Hwan Kim, Bang Chul Jung, Choul-Young Kim, Sang-Woon Jeon, Jin-Woong Kim, "Recent Research Trends of Machine Learning-Based Radar Techniques," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 8, pp. 1382-1385, 8. 2018. (https://doi.org/10.7840/kics.2018.43.8.1382)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880