RSS/TDoA-Based Source Localization in Microwave UWB Sensors Networks Using Two Anchor Nodes
The manuscript presents an algorithm for the optimal estimation of the amplitude and propagation delay time of an ultra-wideband radio signal, in systems for the passive location of fixed targets based on the hybrid RSS/TDoA method in two-dimensional space with two base stations. The optimal estimat...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/8/3018 |
| _version_ | 1797443747112288256 |
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| author | Sergei Ivanov Vladimir Kuptsov Vladimir Badenko Alexander Fedotov |
| author_facet | Sergei Ivanov Vladimir Kuptsov Vladimir Badenko Alexander Fedotov |
| author_sort | Sergei Ivanov |
| collection | DOAJ |
| description | The manuscript presents an algorithm for the optimal estimation of the amplitude and propagation delay time of an ultra-wideband radio signal, in systems for the passive location of fixed targets based on the hybrid RSS/TDoA method in two-dimensional space with two base stations. The optimal estimate is based on the Bayesian strategy of maximum a posteriori probability density, taking into account a priori data on the statistical properties of the Line of Sight radio channel during Gaussian monocycle propagation. The Bayesian Cramer–Rao lower bound (BCRLB) of the delay time and the amplitude estimates for a time-discrete signal are calculated, and the resulting parameter estimate is compared with BCRLB. An algorithm has been developed for optimal estimation of distances from the radiation source to base stations, based on the results of the measurements of the amplitude and the propagation delay time of the UWB radio signal. The calculation of the statistical characteristics of the obtained estimate is carried out, and the functional dependence of the characteristics on various parameters is analyzed. |
| first_indexed | 2024-03-09T13:01:45Z |
| format | Article |
| id | doaj.art-787202956e1d450585c5856914f58a0e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T13:01:45Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-787202956e1d450585c5856914f58a0e2023-11-30T21:53:22ZengMDPI AGSensors1424-82202022-04-01228301810.3390/s22083018RSS/TDoA-Based Source Localization in Microwave UWB Sensors Networks Using Two Anchor NodesSergei Ivanov0Vladimir Kuptsov1Vladimir Badenko2Alexander Fedotov3Institute of Electronics and Telecommunications, Peter the Great St. Petersburg Polytechnic University, 29 Polytechnicheskaya Str., 195251 Saint Petersburg, RussiaInstitute of Electronics and Telecommunications, Peter the Great St. Petersburg Polytechnic University, 29 Polytechnicheskaya Str., 195251 Saint Petersburg, RussiaInstitute of Electronics and Telecommunications, Peter the Great St. Petersburg Polytechnic University, 29 Polytechnicheskaya Str., 195251 Saint Petersburg, RussiaInstitute of Electronics and Telecommunications, Peter the Great St. Petersburg Polytechnic University, 29 Polytechnicheskaya Str., 195251 Saint Petersburg, RussiaThe manuscript presents an algorithm for the optimal estimation of the amplitude and propagation delay time of an ultra-wideband radio signal, in systems for the passive location of fixed targets based on the hybrid RSS/TDoA method in two-dimensional space with two base stations. The optimal estimate is based on the Bayesian strategy of maximum a posteriori probability density, taking into account a priori data on the statistical properties of the Line of Sight radio channel during Gaussian monocycle propagation. The Bayesian Cramer–Rao lower bound (BCRLB) of the delay time and the amplitude estimates for a time-discrete signal are calculated, and the resulting parameter estimate is compared with BCRLB. An algorithm has been developed for optimal estimation of distances from the radiation source to base stations, based on the results of the measurements of the amplitude and the propagation delay time of the UWB radio signal. The calculation of the statistical characteristics of the obtained estimate is carried out, and the functional dependence of the characteristics on various parameters is analyzed.https://www.mdpi.com/1424-8220/22/8/3018localizationUWB Networksmaximum likelihood (ML) estimatorreceived signal strength (RSS)time difference of arrival (TDOA) |
| spellingShingle | Sergei Ivanov Vladimir Kuptsov Vladimir Badenko Alexander Fedotov RSS/TDoA-Based Source Localization in Microwave UWB Sensors Networks Using Two Anchor Nodes Sensors localization UWB Networks maximum likelihood (ML) estimator received signal strength (RSS) time difference of arrival (TDOA) |
| title | RSS/TDoA-Based Source Localization in Microwave UWB Sensors Networks Using Two Anchor Nodes |
| title_full | RSS/TDoA-Based Source Localization in Microwave UWB Sensors Networks Using Two Anchor Nodes |
| title_fullStr | RSS/TDoA-Based Source Localization in Microwave UWB Sensors Networks Using Two Anchor Nodes |
| title_full_unstemmed | RSS/TDoA-Based Source Localization in Microwave UWB Sensors Networks Using Two Anchor Nodes |
| title_short | RSS/TDoA-Based Source Localization in Microwave UWB Sensors Networks Using Two Anchor Nodes |
| title_sort | rss tdoa based source localization in microwave uwb sensors networks using two anchor nodes |
| topic | localization UWB Networks maximum likelihood (ML) estimator received signal strength (RSS) time difference of arrival (TDOA) |
| url | https://www.mdpi.com/1424-8220/22/8/3018 |
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