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A real-valued high-resolution coherent DOA estimation method with unknown source number.

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Title: A real-valued high-resolution coherent DOA estimation method with unknown source number.
Authors: Ma, Teng1 (AUTHOR) matvo003@163.com, Yang, Minglei1 (AUTHOR) mlyang@xidian.edu.cn, Chen, Yu1 (AUTHOR) yu_chen1819@163.com
Source: Digital Signal Processing. Dec2025, Vol. 167, pN.PAG-N.PAG. 1p.
Subjects: Direction of arrival estimation, Decorrelation (Signal processing), Matrices (Mathematics), Subspace identification (Mathematics), Signal processing, Toeplitz matrices
Abstract: When the signals are coherent and the number of sources is difficult to determine accurately, direction-of-arrival (DOA) estimation becomes challenging. In such scenario, the method proposed in this paper first reconstructs a Toeplitz matrix from the cross-correlation vectors of the array-received signals to perform decorrelation. This decorrelation technique preserves array aperture and facilitates DOA estimation. Subsequently, a new real-valued matrix is constructed using only the real and imaginary parts of the reconstructed matrix, instead of employing a unitary transformation. Based on this real-valued matrix, a synthetic spatial spectrum is formulated using subspace projection theory, requiring only a single matrix inversion and power operation, which improves computational efficiency. Simulation results and theoretical analysis demonstrate the effectiveness of the proposed method for estimating the DOAs of coherent sources in scenarios where the number of sources is unknown. [ABSTRACT FROM AUTHOR]
Copyright of Digital Signal Processing is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 187747117
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  Data: A real-valued high-resolution coherent DOA estimation method with unknown source number.
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  Data: <searchLink fieldCode="AR" term="%22Ma%2C+Teng%22">Ma, Teng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> matvo003@163.com</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Minglei%22">Yang, Minglei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mlyang@xidian.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Yu%22">Chen, Yu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yu_chen1819@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Digital+Signal+Processing%22">Digital Signal Processing</searchLink>. Dec2025, Vol. 167, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Direction+of+arrival+estimation%22">Direction of arrival estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Decorrelation+%28Signal+processing%29%22">Decorrelation (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Matrices+%28Mathematics%29%22">Matrices (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Subspace+identification+%28Mathematics%29%22">Subspace identification (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Toeplitz+matrices%22">Toeplitz matrices</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: When the signals are coherent and the number of sources is difficult to determine accurately, direction-of-arrival (DOA) estimation becomes challenging. In such scenario, the method proposed in this paper first reconstructs a Toeplitz matrix from the cross-correlation vectors of the array-received signals to perform decorrelation. This decorrelation technique preserves array aperture and facilitates DOA estimation. Subsequently, a new real-valued matrix is constructed using only the real and imaginary parts of the reconstructed matrix, instead of employing a unitary transformation. Based on this real-valued matrix, a synthetic spatial spectrum is formulated using subspace projection theory, requiring only a single matrix inversion and power operation, which improves computational efficiency. Simulation results and theoretical analysis demonstrate the effectiveness of the proposed method for estimating the DOAs of coherent sources in scenarios where the number of sources is unknown. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Digital Signal Processing is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.dsp.2025.105408
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Direction of arrival estimation
        Type: general
      – SubjectFull: Decorrelation (Signal processing)
        Type: general
      – SubjectFull: Matrices (Mathematics)
        Type: general
      – SubjectFull: Subspace identification (Mathematics)
        Type: general
      – SubjectFull: Signal processing
        Type: general
      – SubjectFull: Toeplitz matrices
        Type: general
    Titles:
      – TitleFull: A real-valued high-resolution coherent DOA estimation method with unknown source number.
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            NameFull: Ma, Teng
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            NameFull: Yang, Minglei
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            NameFull: Chen, Yu
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 167
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            – TitleFull: Digital Signal Processing
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