Chung-Hua University Repository:Item 987654321/32432
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    Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/32432


    Title: Applying Rprop Neural Network for the Prediction of the Mobile Station Location
    Authors: 林君明
    Lin, Jium-Ming
    Contributors: 通訊工程學系
    Communication Engineering
    Keywords: time of arrival;TOA;angle of arrival;AOA;back-propagation nseural network;BPNN;resilient back-propagation;Rprop
    time of arrival;TOA;angle of arrival;AOA;back-propagation nseural network;BPNN;resilient back-propagation;Rprop
    Date: 2011
    Issue Date: 2014-06-27 01:54:01 (UTC+8)
    Abstract: Wireless location is the function used to determine the mobile station (MS) location in a wireless cellular communications system. When it is very hard for the surrounding base stations (BSs) to detect a MS or the measurements contain large errors in non-
    Wireless location is the function used to determine the mobile station (MS) location in a wireless cellular communications system. When it is very hard for the surrounding base stations (BSs) to detect a MS or the measurements contain large errors in non-
    Appears in Collections:[Department of Communication Engineering] Journal Articles

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