DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kong, Seung-Hyun | - |
dc.contributor.advisor | 공승현 | - |
dc.contributor.author | Kim, Minjun | - |
dc.date.accessioned | 2019-09-04T02:49:25Z | - |
dc.date.available | 2019-09-04T02:49:25Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=843585&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/267185 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 조천식녹색교통대학원, 2019.2,[iii, 36 p :] | - |
dc.description.abstract | Modern radar systems adopt low probability of intercept (LPI) radar to take advantage of low peak power and high duty cycle waveforms that make non-cooperative detection by electronic monitoring difficult. Accordingly, in the electronic warfare, detecting and recognizing the LPI radar signal is an important technology for protecting the equipment of a friend and promptly responding to the enemy. However, although the technique of recognizing the continuous wave LPI radar is indispensable, many studies have not been conducted yet. In this paper, we propose a LPI radar recognition technique based on a single shot multi-box detector (SDD), K-means clustering and a supplementary classifier to recognize the LPI radar signal when multiple LPI radar signals are received at the same time. The proposed LPI radar recognition technique classifies the case of receiving 2 or less signals of 12 continuous LPI radar signals (BPSK, Costas, LFM, Frank, P1, P2, P3, P4, T1, T2, T3, T4) considered in the literature. The proposed technique shows for the first time the possibility of recognizing multi LPI radar signals at on time. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | low probability of intercept radar▼awaveform recognition▼asingle shot multi-box detector▼aK-means clustering | - |
dc.subject | 저피탐 레이더▼a파형 인지▼a단일 샷 멀티 박스 감지기▼aK-평균 클러스터링 | - |
dc.title | Automatic recognition of multiple LPI radar waveform | - |
dc.title.alternative | 다중 저피탐 레이더 신호 자동 식별 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :조천식녹색교통대학원, | - |
dc.contributor.alternativeauthor | 김민준 | - |
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