中国邮电高校学报(英文) ›› 2013, Vol. 20 ›› Issue (3): 90-96.doi: 10.1016/S1005-8885(13)60055-2

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Sparse recovery method for far-field and near-field sources localization using oblique projection

王波,赵彦平,刘娟娟   

  1. College of Communication Engineering, Jilin University, Changchun 130025, China
  • 收稿日期:2012-09-24 修回日期:2013-04-16 出版日期:2013-06-30 发布日期:2013-06-26
  • 通讯作者: 王波 E-mail:chinawang2001@sina.com
  • 基金资助:

    This work was supported by the National Natural Science Foundation of China (60901060).

Sparse recovery method for far-field and near-field sources localization using oblique projection

  1. College of Communication Engineering, Jilin University, Changchun 130025, China
  • Received:2012-09-24 Revised:2013-04-16 Online:2013-06-30 Published:2013-06-26
  • Contact: Bo WANG E-mail:chinawang2001@sina.com
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (60901060).

摘要:

In this paper, we propose a novel source localization method to estimate parameters of arbitrary field sources, which may lie in near-field region or far-field region of array aperture. The proposed method primarily constructs two special spatial-temporal covariance matrixes which can avoid the array aperture loss, and then estimates the frequencies of signals to obtain the oblique projection matrixes. By using the oblique projection technique, the covariance matrixes can be transformed into several data matrixes which only contain single source information, respectively. At last, based on the sparse signal recovery method, these data matrixes are utilized to solve the source localization problem. Compared with the existing typical source localization algorithms, the proposed method improves the estimation accuracy, and provides higher angle resolution for closely spaced sources scenario. Simulation results are given to demonstrate the performance of the proposed algorithm.

关键词:

array signal processing, near-field, far-field, sparse signal recovery, oblique projection

Abstract:

In this paper, we propose a novel source localization method to estimate parameters of arbitrary field sources, which may lie in near-field region or far-field region of array aperture. The proposed method primarily constructs two special spatial-temporal covariance matrixes which can avoid the array aperture loss, and then estimates the frequencies of signals to obtain the oblique projection matrixes. By using the oblique projection technique, the covariance matrixes can be transformed into several data matrixes which only contain single source information, respectively. At last, based on the sparse signal recovery method, these data matrixes are utilized to solve the source localization problem. Compared with the existing typical source localization algorithms, the proposed method improves the estimation accuracy, and provides higher angle resolution for closely spaced sources scenario. Simulation results are given to demonstrate the performance of the proposed algorithm.

Key words:

array signal processing, near-field, far-field, sparse signal recovery, oblique projection

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