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  • 标题:DOA Estimation for Coherent Sources in Impulsive Noise Environments
  • 本地全文:下载
  • 作者:Liu, Baobao ; Zhang, Junying ; Xu, Cong
  • 期刊名称:Journal of Networks
  • 印刷版ISSN:1796-2056
  • 出版年度:2014
  • 卷号:9
  • 期号:12
  • 页码:3237-3241
  • DOI:10.4304/jnw.9.12.3237-3241
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:Direction-of-arrival (DOA) estimation of coherent sources is a significant problem in impulsive noise environments. In this paper, a robust estimation algorithm which combines the ideas of spatial smoothing (SS) and infinity-norm normalization (INF) is presented, referred to as INF-SSR. The proposed algorithm exploits the Root–MUSIC technique to computer the DOA estimates, thus avoiding the peak searching and can be applied to seriously impulsive noise environments compared with the fractional lower order moment spatial smoothing MUSIC algorithm (FLOM-SS). Simulation results demonstrate effectiveness of the proposed algorithm
  • 关键词:Coherent Sources;Direction of Arrival (DOA);Impulsive Noise;Fractional Lower Order Statistics
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