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Generalized Maximum Likelihood Algorithm for TOA Estimation in Multi-band OFDM UWB Systems

The fine time resolution of ultra wide-band (UWB) systems enables applications in TOA/TDOA based high precision wireless indoor location. The main purpose of this thesis is to investigate TOA estimation in multi-band OFDM UWB systems. We propose an effective and simplified TOA estimation algorithm for multi-band OFDM standard. The proposed algorithm is based on the generalized maximum-likelihood (GML) algorithm.
The TOA estimation algorithm utilizes the preamble signal in multi-band OFDM system. We modify the realization method of GML algorithm according to the preamble signal properties and apply it to multi-band OFDM system. From simulation results, by comparing with cross correlation algorithm and the original GML algorithm, the proposed algorithm has ability to mitigate multipath interference and improves TOA estimation accuracy. In this thesis we also discuss the thresholds setting and SNR estimation problems to make the proposed algorithm more realizable.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0826105-171920
Date26 August 2005
CreatorsYang, Shih-Wei
ContributorsTsung-Cheng Wu, Chin-Der Wann, Hsin-Hsyong Yang, Shiunn-Jang Chern
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0826105-171920
Rightscampus_withheld, Copyright information available at source archive

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