113 / 2019-12-14 12:18:00
An Improved DOA Estimation Method Based on Sparse Arrays for a Mixture of Circular and Non-Circular Signals
Improved MUSIC; Sparse arrays; Noncircular signals; Extended covariance matrix
全文被拒
Jingjing Cai / Xidian University, China
Wei Liu / University of Sheffield, United Kingdom (Great Britain)
Ru Zong / Xidian University, China
Yang-Yang Dong / Xidian University, China
Sparse arrays have attracted a lot of interests recently for their capability of providing more degrees of freedom than traditional uniform linear arrays. For a mixture of circular and noncircular signals, most of the existing direction of arrival (DOA) estimation methods are based on various uniform arrays. Recently, a new class of DOA estimation algorithms was proposed using sparse arrays for a mixture of circular and noncircular signals. To further improve its performance, in this work, an improved MUSIC (I-MUSIC) algorithm is presented. The I-MUSIC algorithm can resolve the same number of mixed signals, and as demonstrated by simulation results, a better performance is achieved than the earlier proposed class of algorithms.
重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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