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Methods for Evaluating PN Sequences in Spread Spectrum TDR.

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Title: Methods for Evaluating PN Sequences in Spread Spectrum TDR.
Authors: Nguyen, Phat1, Addad, Mouad1,2 addad.mouad@gmail.com, Makin, Samuel1, Harley, Joel3, Furse, Cynthia1, Kuhn, Paul K.1
Source: Progress in Electromagnetics Research Letters. 2026, Vol. 129, p15-20. 6p.
Subjects: Pseudonoise sequences (Digital communications), Time-domain reflectometry, Spread spectrum communications, Signal filtering, Signal integrity (Electronics), Statistical correlation
Abstract: This paper describes a Pseudo-Noise (PN) sequence evaluation tool that analyzes potentially corrupted PN sequences and assigns a metric score indicating the quality of the received sequence. The PN tester is designed to support Spread Spectrum Time Domain Reflectometry (SSTDR) by evaluating reflected PN sequences and determining whether the received signal is valid or too corrupted for use. Signal degradation is influenced by noise levels and channel filters encountered by the sequence. To simulate real- world conditions, various types of noise and filtering effects -- representing capacitive or inductive coupling -- were applied to a maximum-length PN sequence. The evaluation model demonstrated a consistent decline in correlation as signal distortion increased, confirming its effectiveness in assessing signal quality. [ABSTRACT FROM AUTHOR]
Copyright of Progress in Electromagnetics Research Letters is the property of Electromagnetics Academy 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: <searchLink fieldCode="DE" term="%22Pseudonoise+sequences+%28Digital+communications%29%22">Pseudonoise sequences (Digital communications)</searchLink><br /><searchLink fieldCode="DE" term="%22Time-domain+reflectometry%22">Time-domain reflectometry</searchLink><br /><searchLink fieldCode="DE" term="%22Spread+spectrum+communications%22">Spread spectrum communications</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+filtering%22">Signal filtering</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+integrity+%28Electronics%29%22">Signal integrity (Electronics)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink>
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  Data: This paper describes a Pseudo-Noise (PN) sequence evaluation tool that analyzes potentially corrupted PN sequences and assigns a metric score indicating the quality of the received sequence. The PN tester is designed to support Spread Spectrum Time Domain Reflectometry (SSTDR) by evaluating reflected PN sequences and determining whether the received signal is valid or too corrupted for use. Signal degradation is influenced by noise levels and channel filters encountered by the sequence. To simulate real- world conditions, various types of noise and filtering effects -- representing capacitive or inductive coupling -- were applied to a maximum-length PN sequence. The evaluation model demonstrated a consistent decline in correlation as signal distortion increased, confirming its effectiveness in assessing signal quality. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Progress in Electromagnetics Research Letters is the property of Electromagnetics Academy 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: 10.2528/PIERL25102405
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      – Code: eng
        Text: English
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        PageCount: 6
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      – SubjectFull: Pseudonoise sequences (Digital communications)
        Type: general
      – SubjectFull: Time-domain reflectometry
        Type: general
      – SubjectFull: Spread spectrum communications
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      – SubjectFull: Signal filtering
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      – SubjectFull: Signal integrity (Electronics)
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      – SubjectFull: Statistical correlation
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      – TitleFull: Methods for Evaluating PN Sequences in Spread Spectrum TDR.
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              Text: 2026
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