English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 2471/17084 (14%)
造訪人次 : 3181479      線上人數 : 765
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    University of Taipei > 理學院 > 資訊科學系 > 期刊論文 >  Item 987654321/15778


    請使用永久網址來引用或連結此文件: http://utaipeir.lib.utaipei.edu.tw/dspace/handle/987654321/15778


    題名: Hybridization of Genetic Algorithm and IBMUSIC Applied to DOA Estimation under Coherent Signals
    作者: Hung, Jui-Chung;洪瑞鍾;Lin, Chien-Chou
    貢獻者: 臺北市立教育大學資訊科學系
    關鍵詞: Genetic Algorithm;Direction-of-Arrival (DOA);Multiple Signal Classification (MUSIC)
    日期: 2011
    上傳時間: 2017-07-24 11:28:01 (UTC+8)
    摘要: This paper introduces a new hybrid of genetic algorithm (GA) and iteration beamspace multiple signal classification (IBMUSIC) suitable for making direction-of-arrival (DOA) in coherent signals. In general, the problem of estimation the DOA in coherent signals is more difficult to solve and conventional DOA estimation methods such as minimum variance distortionless response (MVDR) and multiple signal classification (MUSIC) algorithm produce mistake results owing to the existence of coherent terms. In this situation, we adopt the method of conjugate with a GA for selecting the initial search angle of IBMUSIC estimation. Moreover, the received data is projected onto the steering vectors of signal complement space by GA estimation, and then the coherent terms can be decrease. We use this tool to estimate the DOA in coherent signals to achieve low computational complexity and an excellent performance. Finally, numerical example was analyzed to illustrate the design procedure and confirm the performance of the proposed method.
    關聯: accepted, Applied Mathematics & Information Sciences,p489-496
    顯示於類別:[資訊科學系] 期刊論文

    文件中的檔案:

    沒有與此文件相關的檔案.



    在uTaipei中所有的資料項目都受到原著作權保護.


    如有問題歡迎與系統管理員聯繫
    02-23113040轉2132
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回饋