| Summary: | 碩士 === 國立交通大學 === 電信工程研究所 === 100 === Mobile location estimation has 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 two-step least square (TSLS) method has been studied in related research to provide efficient location estimation of the mobile devices. In order to enhance the precision of location estimate, the geometry-assisted location estimation (GALE) scheme is designed to incorporate the geometric constraints within the formulation of TSLS method. However, these two algorithms are mainly designed based on the time-of-arrival (TOA) measurements. There is not much effort that has been dedicated in location estimation based on received signal strength (RSS) measurements, which can be easily obtained by mobile devices nowadays. A diversity-augmented location estimation (DALE) algorithm is proposed in this thesis with additional spatial assistance based on the RSS measurements. This algorithm also considers and corrects the effect of incorrect path loss exponent (PLE). The proposed DALE scheme can both preserve the computational efficiency from the TSLS algorithm and obtain precise location estimation based on RSS measurements. Numerical results demonstrate that the proposed DALE algorithm can achieve better accuracy, comparing with other existing schemes, in mobile location estimation.
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