TDOA/FDOA를 이용한 파티클 필터 기반 이동 표적 추적 알고리듬
- Title
- TDOA/FDOA를 이용한 파티클 필터 기반 이동 표적 추적 알고리듬
- Other Titles
- Target Localization using Particle Filter With TDOA/FDOA Measurements
- Author
- 김선우
- Keywords
- Computing and Processing; Robotics and Control Systems; Base stations; Taylor series; Signal processing algorithms; Algorithm design and analysis; Wireless communication; Mathematical model; Real-time systems; TDOA; Chan; Taylor series expansion; UWB; Rapid moving target
- Issue Date
- 2011-06
- Publisher
- 한국통신학회
- Citation
- 한국통신학회 학술대회논문집, 2011, 2011(6), P,156-157, 2P.
- Abstract
- TDOA and FDOA is the most effective method for Target localization and tracking. This paper proposes target localization and tracking techniques using a particle filter that uses TDOA/FDOA measurements received directly from a distributed sensor. These techniques can estimate position of target and velocity of target. The simulation results show that, compared with extended Kalman filter, particle filter has better performance in localization and tracking accuracy
- URI
- http://www.dbpia.co.kr/Journal/ArticleDetail/NODE02181601https://repository.hanyang.ac.kr/handle/20.500.11754/74851
- ISBN
- 978-1-5386-3021-1; 978-1-5386-3022-8
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML