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  • 标题:A Novel Algorithm to Estimate Closely Spaced Source DOA
  • 其他标题:A Novel Algorithm to Estimate Closely Spaced Source DOA
  • 本地全文:下载
  • 作者:Sidi Mohamed Hadj Irid ; Samir Kameche ; Said Assous
  • 期刊名称:International Journal of Electrical and Computer Engineering
  • 电子版ISSN:2088-8708
  • 出版年度:2017
  • 卷号:7
  • 期号:4
  • 页码:2109-2115
  • DOI:10.11591/ijece.v7i4.pp2109-2115
  • 语种:English
  • 出版社:Institute of Advanced Engineering and Science (IAES)
  • 摘要:In order to improve resolution and direction of arrival (DOA) estimation of two closely spaced sources, in context of array processing, a new algorithm is presented. However, the proposed algorithm combines both spatial sampling technic to widen the resolution and a high resolution method which is the Multiple Signal Classification (MUSIC) to estimate the DOA of two closely spaced sources impinging on the far-field of Uniform Linear Array (ULA). Simulations examples are discussed to demonstrate the performance and the effectiveness of the proposed approach (referred as Spatial sampling MUSIC SS-MUSIC) compared to the classical MUSIC method when it’s used alone in this context.
  • 其他摘要:In order to improve resolution and direction of arrival (DOA) estimation of two closely spaced sources, in context of array processing, a new algorithm is presented. However, the proposed algorithm combines both spatial sampling technic to widen the resolution and a high resolution method which is the Multiple Signal Classification (MUSIC) to estimate the DOA of two closely spaced sources impinging on the far-field of Uniform Linear Array (ULA). Simulations examples are discussed to demonstrate the performance and the effectiveness of the proposed approach (referred as Spatial sampling MUSIC SS-MUSIC) compared to the classical MUSIC method when it’s used alone in this context.
  • 关键词:Telecommunication- Computer and Informatics;array geometry; closely spaced sources; music method; resolution; spatial processing
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