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Kinematic Localization for Global Na...
~
Tabatabaee, Mohammad Hadi.
Kinematic Localization for Global Navigation Satellite Systems : = A Kalman Filtering Approach.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Kinematic Localization for Global Navigation Satellite Systems :/
其他題名:
A Kalman Filtering Approach.
作者:
Tabatabaee, Mohammad Hadi.
面頁冊數:
1 online resource (112 pages)
附註:
Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
Contained By:
Dissertation Abstracts International79-04B(E).
標題:
Aerospace engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9780355460964
Kinematic Localization for Global Navigation Satellite Systems : = A Kalman Filtering Approach.
Tabatabaee, Mohammad Hadi.
Kinematic Localization for Global Navigation Satellite Systems :
A Kalman Filtering Approach. - 1 online resource (112 pages)
Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
Thesis (Ph.D.)
Includes bibliographical references
Use of the Global Positioning System (GNSS) has expanded significantly in the past decade, especially with advances in embedded systems and the emergence of smartphones and the Internet of Things (IoT). The growing demand has stimulated research on development of GNSS techniques and programming tools. The focus of much of the research efforts have been on high-level algorithms and augmentations. This dissertation focuses on the low-level methods at the heart of GNSS systems and proposes a new methods for GNSS positioning problems based on concepts of distance geometry and the use of Kalman filters.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355460964Subjects--Topical Terms:
686400
Aerospace engineering.
Index Terms--Genre/Form:
554714
Electronic books.
Kinematic Localization for Global Navigation Satellite Systems : = A Kalman Filtering Approach.
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Use of the Global Positioning System (GNSS) has expanded significantly in the past decade, especially with advances in embedded systems and the emergence of smartphones and the Internet of Things (IoT). The growing demand has stimulated research on development of GNSS techniques and programming tools. The focus of much of the research efforts have been on high-level algorithms and augmentations. This dissertation focuses on the low-level methods at the heart of GNSS systems and proposes a new methods for GNSS positioning problems based on concepts of distance geometry and the use of Kalman filters.
520
$a
The methods presented in this dissertation provide algebraic solutions to problems that have predominantly been solved using iterative methods. The proposed methods are highly efficient, provide accurate estimates, and exhibit a degree of robustness in the presence of unfavorable satellite geometry. The algorithm operates in two stages; an estimation of the receiver clock bias and removal of the bias from the pseudorange observables, followed by the localization of the GNSS receiver. The use of a Kalman filter in between the two stages allows for an improvement of the clock bias estimate with a noticeable impact on the position estimates. The receiver localization step has also been formulated in a linear manner allowing for the direct application of a Kalman filter without any need for linearization.
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The methodology has also been extended to double differential observables for high accuracy pseudorange and carrier phase position estimates.
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click for full text (PQDT)
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