(A) study on target localization problem based on time difference of arrival data = TDOA 자료 기반의 목표위치 추정문제에 관한 연구

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In target tracking problem, two important considerations for estimating the position of the target are firstly the optimal formation of sensors that receive the target information and secondly the estimation method based on the received information. In this thesis we studied target localization problem based on the time difference of arrival (TDOA) data. This thesis propose two methods to improve the performance of the target tracking problem. In the first part, we discussed the optimal sensor formation problem in terms of Fisher information. The estimators of the target location expressed in terms of the spherical coordinates are found to be uncorrelated when the sensors are arranged in a concentric ring formation. The proposed optimal formation of sensors is in the concentric ring formation and is shown to change in accordance with sensors' angular positions with respect to the line-of-sight vector from the reference sensor to the target. In the second part, we present a estimation method for the linear state space model with an unknown measurement matrix using a Bayesian method. We explored availability of the Bayes method for parameter estimation with no constraints on the parameter space and found that the estimation for the state vector is acceptable as long as the priors are not vague on both the state and the measurement matrix. We also investigated the model where the measurement matrix is contaminated with noise and found that the estimates for the state vector were more accurate than those by the methods in literature.
Advisors
Chung, Yeonseungresearcher정연승researcherKim, Sung-Horesearcher김성호researcher
Description
한국과학기술원 :수리과학과,
Publisher
한국과학기술원
Issue Date
2020
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 수리과학과, 2020.2,[iv, 51 p. :]

Keywords

Adaptive sensor arrangement▼aFisher information▼aMean squared error▼aRing formation▼aBayes estimation▼aGibbs sampling▼aKalman filter; 적응형 센서 배열▼a피셔 정보량▼a평균 제곱 오차▼a고리 대형▼a베이즈 추정▼a깁스 샘플링▼a칼만 필터

URI
http://hdl.handle.net/10203/283578
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=907849&flag=dissertation
Appears in Collection
MA-Theses_Ph.D.(박사논문)
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