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DOA Estimation Based on Hybrid Digital and Analog Phase Alignment With Polynomial Rooting Approaches for Hybrid Massive MIMO Receive Array.

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Title: DOA Estimation Based on Hybrid Digital and Analog Phase Alignment With Polynomial Rooting Approaches for Hybrid Massive MIMO Receive Array.
Authors: Chang, Tsui-Ping1 (AUTHOR) applechang@nutc.edu.tw, Meng, Chao-Li2 (AUTHOR), Bagwari, Ashish (AUTHOR) ashishbagwari@gmail.com
Source: International Journal of Distributed Sensor Networks. 4/28/2025, Vol. 2025, p1-9. 9p.
Subjects: Multiple Signal Classification, Cost functions, Derivatives (Mathematics), Computer simulation, Polynomials
Abstract: This paper introduces a novel approach for direction of arrival (DOA) estimation utilizing hybrid digital and analog phase alignment (HDAPA) tailored for hybrid analog and digital massive multiple‐input multiple‐output (MIMO) receive arrays. To address the inherent high complexity associated with traditional HDAPA and analog phase alignment methods—primarily due to exhaustive linear spectrum searching with small step sizes—a more efficient method has been developed. This new approach leverages polynomial rooting techniques instead of conventional spectral searching. However, this polynomial rooting method tends to be less effective in environments with significant noise. To overcome this limitation, the paper proposes an enhanced polynomial rooting estimation method grounded in the cost function of the multiple signal classification (MUSIC) algorithm, which demonstrates increased robustness in low signal‐to‐noise ratio conditions. The key innovation lies in directly taking the root of the first‐order derivative of the cost function. The effectiveness of the proposed method is validated through various computer simulations. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell 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.)
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  Data: DOA Estimation Based on Hybrid Digital and Analog Phase Alignment With Polynomial Rooting Approaches for Hybrid Massive MIMO Receive Array.
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  Data: <searchLink fieldCode="AR" term="%22Chang%2C+Tsui-Ping%22">Chang, Tsui-Ping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> applechang@nutc.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Meng%2C+Chao-Li%22">Meng, Chao-Li</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bagwari%2C+Ashish%22">Bagwari, Ashish</searchLink> (AUTHOR)<i> ashishbagwari@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Distributed+Sensor+Networks%22">International Journal of Distributed Sensor Networks</searchLink>. 4/28/2025, Vol. 2025, p1-9. 9p.
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  Data: This paper introduces a novel approach for direction of arrival (DOA) estimation utilizing hybrid digital and analog phase alignment (HDAPA) tailored for hybrid analog and digital massive multiple‐input multiple‐output (MIMO) receive arrays. To address the inherent high complexity associated with traditional HDAPA and analog phase alignment methods—primarily due to exhaustive linear spectrum searching with small step sizes—a more efficient method has been developed. This new approach leverages polynomial rooting techniques instead of conventional spectral searching. However, this polynomial rooting method tends to be less effective in environments with significant noise. To overcome this limitation, the paper proposes an enhanced polynomial rooting estimation method grounded in the cost function of the multiple signal classification (MUSIC) algorithm, which demonstrates increased robustness in low signal‐to‐noise ratio conditions. The key innovation lies in directly taking the root of the first‐order derivative of the cost function. The effectiveness of the proposed method is validated through various computer simulations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell 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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        Value: 10.1155/dsn/6577686
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      – Code: eng
        Text: English
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        PageCount: 9
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      – SubjectFull: Multiple Signal Classification
        Type: general
      – SubjectFull: Cost functions
        Type: general
      – SubjectFull: Derivatives (Mathematics)
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      – SubjectFull: Computer simulation
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      – SubjectFull: Polynomials
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      – TitleFull: DOA Estimation Based on Hybrid Digital and Analog Phase Alignment With Polynomial Rooting Approaches for Hybrid Massive MIMO Receive Array.
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            – D: 28
              M: 04
              Text: 4/28/2025
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              Y: 2025
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