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Diffusion Distributed Quantized State Estimation With Variable Bandwidth.

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Title: Diffusion Distributed Quantized State Estimation With Variable Bandwidth.
Authors: Liu, Jingzhi1 (AUTHOR) liujz1107@163.com, Chen, Feng1 (AUTHOR) fengchen.uestc@gmail.com, Feng, Minyu1 (AUTHOR) myfeng@swu.edu.cn, Wang, Shiyuan1 (AUTHOR) wsy@swu.edu.cn
Source: IEEE Transactions on Aerospace & Electronic Systems. Feb2022, Vol. 58 Issue 1, p406-419. 14p.
Subjects: Mean square algorithms, Bandwidths, Wireless communications
Abstract: In low-cost wireless sensor networks, the communication bandwidth between sensors may be variable due to power constraints on the sensors. Considering that quantization is an effective method to save communication bandwidth, a novel distributed adaptive quantization state estimation algorithm with variable bandwidth is proposed, where the quantization steps are time varying. Based on the minimum mean squared error criterion and diffusion strategy, the optimal local gain and neighborhood gain are designed to utilize quantized information for fusion estimation. These gains can be adjusted adaptively through local information fusion. Moreover, we also analyze the mean and mean-square performance of the proposed algorithm and find that the covariance is bounded under variable bandwidth. Finally, the effectiveness of the proposed algorithm is verified via numerical simulation. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Aerospace & Electronic Systems is the property of IEEE 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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DbLabel: Engineering Source
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  Data: Diffusion Distributed Quantized State Estimation With Variable Bandwidth.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Jingzhi%22">Liu, Jingzhi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liujz1107@163.com</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Feng%22">Chen, Feng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fengchen.uestc@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Feng%2C+Minyu%22">Feng, Minyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> myfeng@swu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Shiyuan%22">Wang, Shiyuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wsy@swu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Aerospace+%26+Electronic+Systems%22">IEEE Transactions on Aerospace & Electronic Systems</searchLink>. Feb2022, Vol. 58 Issue 1, p406-419. 14p.
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  Data: In low-cost wireless sensor networks, the communication bandwidth between sensors may be variable due to power constraints on the sensors. Considering that quantization is an effective method to save communication bandwidth, a novel distributed adaptive quantization state estimation algorithm with variable bandwidth is proposed, where the quantization steps are time varying. Based on the minimum mean squared error criterion and diffusion strategy, the optimal local gain and neighborhood gain are designed to utilize quantized information for fusion estimation. These gains can be adjusted adaptively through local information fusion. Moreover, we also analyze the mean and mean-square performance of the proposed algorithm and find that the covariance is bounded under variable bandwidth. Finally, the effectiveness of the proposed algorithm is verified via numerical simulation. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of IEEE Transactions on Aerospace & Electronic Systems is the property of IEEE 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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    Identifiers:
      – Type: doi
        Value: 10.1109/TAES.2021.3101568
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 406
    Subjects:
      – SubjectFull: Mean square algorithms
        Type: general
      – SubjectFull: Bandwidths
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      – SubjectFull: Wireless communications
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      – TitleFull: Diffusion Distributed Quantized State Estimation With Variable Bandwidth.
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            NameFull: Chen, Feng
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              Text: Feb2022
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              Y: 2022
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