마코프 모델을 이용한 펄스반복 주기 변조 형태 인식
- Title
- 마코프 모델을 이용한 펄스반복 주기 변조 형태 인식
- Other Titles
- The Identification of Pulse Repetition Intervals Modulation using Markov Models Approach
- Author
- 양해원
- Keywords
- EW; TOA; PRI; Modulation; Markov; Model
- Issue Date
- 2003-06
- Publisher
- 대한전기학회
- Citation
- 전기학회논문지 D v. 52D, no. 6, page. 372-377
- Abstract
- 레이더 펄스 신호의 펄스반복 주기 변조형태를 인식하기 위한 새로운 방법으로서 마코프 모델을 이용한
방법을 제시하였고, 이의 성능을 검증하기 위한 모의 실험을 실시하였다.Many of modem radars use modulated pulse repetition intervals for the purpose of anti-aliasing and ECCM. The interception, analysis and identification of radar signals is a major function of a radar intercept receiver. In this paper, we discuss the identification of pulse repetition intervals modulation of radar signals which is one of the major parameters for the analysis of radar. We proposed a new algorithm based on Markov models approach. This approach is shown to be reliable and robust to the missing pulses, as well as to require only relatively few pulse data
- URI
- http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01261829?https://repository.hanyang.ac.kr/handle/20.500.11754/155809
- ISSN
- 1229-6287
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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