Document Type dissertation Author Name Li, Xinrong URN etd-0429103-104200 Title Super-Resolution TOA Estimation with Diversity Techniques for Indoor Geolocation Applications Degree PhD Department Electrical & Computer Engineering Advisors Kaveh Pahlavan, Advisor Kevin A. Clements, Committee Member William R. Michalson, Committee Member Robert Tingley, Committee Member Keywords channel measurement location finding indoor geolocation TOA super-resolution Date of Presentation/Defense 2003-04-11 Availability unrestricted
Recently, there are great interests in the location-based applications and the location-awareness of mobile wireless systems in indoor areas, which require accurate location estimation in indoor environments. The traditional geolocation systems such as the GPS are not designed for indoor applications, and cannot provide accurate location estimation in indoor environments. Therefore, there is a need for new location finding techniques and systems for indoor geolocation applications.
In this thesis, a wide variety of technical aspects and challenging issues involved in the design and performance evaluation of indoor geolocation systems are presented first. Then the TOA estimation techniques are studied in details for use in indoor multipath channels, including the maximum-likelihood technique, the MUSIC super-resolution technique, and diversity techniques as well as various issues involved in the practical implementation. It is shown that due to the complexity of indoor radio propagation channels, dramatically large estimation errors may occur with the traditional techniques, and the super-resolution techniques can significantly improve the performance of the TOA estimation in indoor environments. Also, diversity techniques, especially the frequency-diversity with the CMDCS, can further improve the performance of the super-resolution techniques.
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