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Moving-Target Tracking Based on Particle Filter with TDOA/FDOA Measurements
- Authors
- Cho, Jeong A.; Na, Hanbyeul; Kim, Sunwoo; Ahn, Chunsoo
- Issue Date
- Apr-2012
- Publisher
- 한국전자통신연구원
- Keywords
- Time difference of arrival (TDOA); frequency difference of arrival (FDOA); particle filter; target tracking
- Citation
- ETRI Journal, v.34, no.2, pp 260 - 263
- Pages
- 4
- Indexed
- SCI
SCIE
SCOPUS
KCI
- Journal Title
- ETRI Journal
- Volume
- 34
- Number
- 2
- Start Page
- 260
- End Page
- 263
- ISSN
- 1225-6463
2233-7326
- Abstract
- In this letter; we propose a moving-target tracking algorithm based on a particle filler that uses the time difference of arrival (TDOA)/frequency difference of arrival (FDOA) measurements acquired by distributed sensors. It is shown that the performance of the proposed algorithm, based on the particle,filter outperforms the one based on the extended Kalman filter The use of both the TDOA and FDOA measurements is shown to be effective in the moving-target tracking. It is proven that the particle filter deals with the nonlinear nature of the moving-target tracking problem successfully.
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Related Researcher
- Kim, Sunwoo
- COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)