Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive Medium
Accurate detection of oscillatory electrical signals emitted from remote sources is necessary in many applications but poses several challenges. The major challenge is attributed to the source voltage and conductivity of the medium through which signals must transmit before they can be sensed by the...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9956972/ |
| _version_ | 1811321463639113728 |
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| author | Saina Namazifard Richie Ranaisa Daru Kristin Tighe Kamesh Subbarao Ashfaq Adnan |
| author_facet | Saina Namazifard Richie Ranaisa Daru Kristin Tighe Kamesh Subbarao Ashfaq Adnan |
| author_sort | Saina Namazifard |
| collection | DOAJ |
| description | Accurate detection of oscillatory electrical signals emitted from remote sources is necessary in many applications but poses several challenges. The major challenge is attributed to the source voltage and conductivity of the medium through which signals must transmit before they can be sensed by the receiving electrodes/sensors. This study introduces a novel algorithm to optimize source identification where low-voltage (mV range) signals transmit through a conductive medium. The proposed algorithm uses the measured data from different oscillatory signal sources and solves an inverse problem by minimizing a cost function to estimate all the signal properties, including the locations, frequencies, and phases. To increase the overall signal accuracy for a wide range of initial guess frequencies, we have utilized the Lomb-Scargle spectral analysis along with the Least Squares error optimization method. The data utilized in this study comes from an experimental setup that includes a bucket filled with salt-water as the conductive medium, multiple low-voltage signal sources and 32 remotely located sensors. The sources generate sine waves with amplitude of 10 mV and frequencies between 10 – 40 Hz. The average signal-to-noise ratio is approximately 10 dB. The algorithm has been validated using a single-source and multi-source setup. We observed that our algorithm can identify the source location within 10 mm from the actual source immersed inside the bucket of radius = ~ 90 mm. Moreover, the frequency estimation error is nearly zero, which justifies the effectiveness of our proposed method. |
| first_indexed | 2024-04-13T13:18:13Z |
| format | Article |
| id | doaj.art-3181804f9fca4563966935ede1758caf |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T13:18:13Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3181804f9fca4563966935ede1758caf2022-12-22T02:45:24ZengIEEEIEEE Access2169-35362022-01-011012415412416610.1109/ACCESS.2022.32233549956972Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive MediumSaina Namazifard0https://orcid.org/0000-0003-0789-3326Richie Ranaisa Daru1https://orcid.org/0000-0002-2755-5386Kristin Tighe2Kamesh Subbarao3https://orcid.org/0000-0003-4295-3224Ashfaq Adnan4https://orcid.org/0000-0003-0683-2185Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX, USAMechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX, USAMechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX, USAMechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX, USAMechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX, USAAccurate detection of oscillatory electrical signals emitted from remote sources is necessary in many applications but poses several challenges. The major challenge is attributed to the source voltage and conductivity of the medium through which signals must transmit before they can be sensed by the receiving electrodes/sensors. This study introduces a novel algorithm to optimize source identification where low-voltage (mV range) signals transmit through a conductive medium. The proposed algorithm uses the measured data from different oscillatory signal sources and solves an inverse problem by minimizing a cost function to estimate all the signal properties, including the locations, frequencies, and phases. To increase the overall signal accuracy for a wide range of initial guess frequencies, we have utilized the Lomb-Scargle spectral analysis along with the Least Squares error optimization method. The data utilized in this study comes from an experimental setup that includes a bucket filled with salt-water as the conductive medium, multiple low-voltage signal sources and 32 remotely located sensors. The sources generate sine waves with amplitude of 10 mV and frequencies between 10 – 40 Hz. The average signal-to-noise ratio is approximately 10 dB. The algorithm has been validated using a single-source and multi-source setup. We observed that our algorithm can identify the source location within 10 mm from the actual source immersed inside the bucket of radius = ~ 90 mm. Moreover, the frequency estimation error is nearly zero, which justifies the effectiveness of our proposed method.https://ieeexplore.ieee.org/document/9956972/Source localizationleast squared errormulti-sourcesinverse problem |
| spellingShingle | Saina Namazifard Richie Ranaisa Daru Kristin Tighe Kamesh Subbarao Ashfaq Adnan Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive Medium IEEE Access Source localization least squared error multi-sources inverse problem |
| title | Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive Medium |
| title_full | Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive Medium |
| title_fullStr | Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive Medium |
| title_full_unstemmed | Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive Medium |
| title_short | Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive Medium |
| title_sort | method for identification of multiple low voltage signal sources transmitted through a conductive medium |
| topic | Source localization least squared error multi-sources inverse problem |
| url | https://ieeexplore.ieee.org/document/9956972/ |
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