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기계학습기반 레이다기술 최신연구 동향

Title
기계학습기반 레이다기술 최신연구 동향
Other Titles
Recent Research Trends of Machine Learning-Based Radar Techniques
Author
전상운
Keywords
Cognitive Radar; machine learning; deep learning; radar resource management; radar signal processing
Issue Date
2018-08
Publisher
한국통신학회
Citation
한국통신학회논문지, v. 43, NO. 8, Page. 1382.0-1385.0
Abstract
본 논문은 기계학습 기반의 레이다 기술의 연구 동향을 요약한다. 특히, 본 논문에서는 레이다 시스템, 레이다 안테나, 레이다 송수신장치, 레이다 신호처리기등 각 분야에 적용된 기계학습기술에 관하여 분석하고연구의 발전 방향에 관하여 논한다.;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.
URI
https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07528660https://repository.hanyang.ac.kr/handle/20.500.11754/180692
ISSN
1226-4717;2287-3880
DOI
10.7840/kics.2018.43.8.1382
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MILITARY INFORMATION ENGINEERING(국방정보공학과) > Articles
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