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기계학습기반 레이다기술 최신연구 동향Recent Research Trends of Machine Learning-Based Radar Techniques
- Other Titles
- Recent Research Trends of Machine Learning-Based Radar Techniques
- Issue Date
- Aug-2018
- Publisher
- 한국통신학회
- Keywords
- Cognitive Radar; machine learning; deep learning; radar resource management; radar signal processing
- Citation
- 한국통신학회논문지, v.43, no.8, pp 1382 - 1385
- Pages
- 4
- Indexed
- KCI
- Journal Title
- 한국통신학회논문지
- Volume
- 43
- Number
- 8
- Start Page
- 1382
- End Page
- 1385
- ISSN
- 1226-4717
2287-3880
- 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.
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Related Researcher
- Jeon, Sang Woon
- ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)