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Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17–18, 2017, Proceedings

Research Article

Spatial Spectrum Estimation for Wideband Signals by Sparse Reconstruction in Continuous Domain

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  • @INPROCEEDINGS{10.1007/978-3-319-73317-3_43,
        author={Jiaqi Zhen and Yanchao Li},
        title={Spatial Spectrum Estimation for Wideband Signals by Sparse Reconstruction in Continuous Domain},
        proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings},
        proceedings_a={ADHIP},
        year={2018},
        month={2},
        keywords={Direction of arrival Sparse reconstruction Wideband signals Continuous domain},
        doi={10.1007/978-3-319-73317-3_43}
    }
    
  • Jiaqi Zhen
    Yanchao Li
    Year: 2018
    Spatial Spectrum Estimation for Wideband Signals by Sparse Reconstruction in Continuous Domain
    ADHIP
    Springer
    DOI: 10.1007/978-3-319-73317-3_43
Jiaqi Zhen1,*, Yanchao Li1
  • 1: Heilongjiang University
*Contact email: zhenjiaqi2011@163.com

Abstract

A novel spatial spectrum estimation method for two-dimensional wideband signals by sparse reconstruction in continuous domain is addressed in this paper. First, Discrete Fourier Transform (DFT) is employed for the data. Then the convex and corresponding dual problems of the data with most power are founded and solved. After that the sparse support sets are decided by semidefinite program and extracting roots. Finally, both of the direction of arrival (DOA) and the primary signals are determined. The proposed idea averts the off-grid effect based on grid partition, and some theoretical results are included to explain the effectiveness of the method.

Keywords
Direction of arrival Sparse reconstruction Wideband signals Continuous domain
Published
2018-02-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-73317-3_43
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