English  |  正體中文  |  简体中文  |  Items with full text/Total items : 16335/24215 (67%)
Visitors : 13497808      Online Users : 479
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://ir.nknu.edu.tw/ir/handle/987654321/12129

    題名: Wireless Geolocation with TOA / AOA Measurements Using Factor Graph and Sum-Product Algorithm
    Authors: 陳榮杰
    Jung-Chieh Chen;Pangan Ting;Ching-Shyang Maa;Jiunn-Tsair Chen
    貢獻者: 光電與通訊工程學系
    Keywords: Communication switching;Energy consumption;FCC;Global Positioning System;Iterative algorithms;Position measurement;Safety;Statistics;Stochastic processes;Sum product algorithm
    Date: 2004
    Issue Date: 2010-11-22 14:03:46 (UTC+8)
    Abstract: Wireless geolocation techniques make use of measurements of signal strength, time-of-arrival (TOA), angle-of-arrival (AOA), or their combinations. With different degrees of reliability of the measurement data, how to efficiently coordinate all the available information is crucial. The factor graph together with the sum-product algorithm, which makes the optimum use of the data statistics, is a perfect candidate for such a task. So far, most existing position location techniques focus on geometric approximations when looking for sub-optimal least-square solutions (W.H. Foy, IEEE Trans. Aerospace and Electron. Sys., vol. 12, no. 2, pp. 187-193, 1976; J. Caffery, IEEE Vehicular Tech. Conf., vol. 4. pp. 1943-1949, 2000; L. Cong and W. Zhang, IEEE Trans. on Wireless Comm, vol. 1, pp. 439-447, 2002). In this paper, with the stochastic properties of TOA/AOA measurement data, we propose a brand-new low-complexity high-accuracy algorithm to estimate the location of a target MS. In a factor graph framework, the proposed algorithm efficiently exchanges soft information among local processing units in the mobile switching center to iteratively purify the estimate of the MS location.
    關聯: Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th. 26-29 Sept. 2004 / Volume:5, Page(s):3526 - 3529 Vol. 5, DOI: 10.1109/VETECF.2004.1404720
    Appears in Collections:[光電與通訊工程學系] 會議論文
    [光通系] 陳榮杰

    Files in This Item:

    File SizeFormat

    All items in NKNUIR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback