University of Taipei:Item 987654321/4707
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    Please use this identifier to cite or link to this item: http://utaipeir.lib.utaipei.edu.tw/dspace/handle/987654321/4707


    Title: Combining genetic algorithm and iterative MUSIC searching DOA estimation for the CDMA system
    Authors: Jui-Chung Hung
    洪瑞鍾
    Ann-Chen Chang
    張安成
    Contributors: 臺北市立教育大學資訊科學系
    Date: 2011-03
    Issue Date: 2011-11-30 11:19:35 (UTC+8)
    Publisher: Tarrytown, NY, USA:Pergamon Press, Inc.
    Abstract: This paper deals with direction-of-arrival (DOA) estimation based on iterative MUSIC searching technique for the code division multiple access (CDMA) system. It has been shown that the iterative searching technique suffers from the local maximum searching problem, causing acquisition errors in DOA estimation. In conjunction with a genetic algorithm (GA) for selecting initial search angle, we present an efficient approach to achieve the advantages of iterative DOA estimation with fast convergence and more accuracy estimate over existing conventional spectral searching methods. Finally, several computer simulation examples are provided for illustration and comparison.
    Relation: Expert Systems with Applications: An International Journal
    Volume 38 Issue 3
    Page1895-1902
    Appears in Collections:[Department of Computer Science] Periodical Articles

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