| Summary: | 碩士 === 國立交通大學 === 電信工程系所 === 95 === Location estimation and tracking for the mobile devices have attracted a
significant amount of attention in recent years. The network-based location estimation
schemes have been widely adopted based on the radio signals between the mobile
device and the base stations. The location estimators associated with the Kalman
filtering techniques are exploited to both acquire location estimation and trajectory
tracking for the mobile devices. However, most of the existing schemes become
unapplicable for location tracking due to the deficiency of signal sources. In this
thesis, two predictive location tracking algorithms are proposed to alleviate this
problem. The Predictive Location Tracking (PLT) scheme utilizes the predictive
information obtained from the Kalman filter in order to provide the additional signal
inputs for the location estimator. Furthermore, the Geometric-assisted Predictive
Location Tracking (GPLT) scheme incorporates the Geometric Dilution of Precision
(GDOP) information into the algorithm design. Persistent accuracy for location
tracking can be achieved by adopting the proposed GPLT scheme, especially with
inadequate signal sources. Numerical results demonstrate that the GPLT algorithm
can achieve better precision in comparison with other network-based location tracking
schemes.
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