Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation
In this study, an interval extension method of a bi-iterative is proposed to determine a moving source. This method is developed by utilising the time difference of arrival and frequency difference of arrival measurements of a signals received from several receivers. Unlike the standard Gaussian noi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Hindawi - SAGE Publishing
2021-02-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147721991770 |
| _version_ | 1797701892775608320 |
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| author | Ningning Qin Chao Wang Changxu Shan Le Yang |
| author_facet | Ningning Qin Chao Wang Changxu Shan Le Yang |
| author_sort | Ningning Qin |
| collection | DOAJ |
| description | In this study, an interval extension method of a bi-iterative is proposed to determine a moving source. This method is developed by utilising the time difference of arrival and frequency difference of arrival measurements of a signals received from several receivers. Unlike the standard Gaussian noise model, the time difference of arrival - frequency difference of arrival measurements are obtained by interval enclosing, which avoids convergence and initialisation problems in the conventional Taylor-series method. Using the bi-iterative strategy, the algorithm can alternately calculate the position and velocity of the moving source in interval vector form. Simulation results indicate that the proposed scheme significantly outperforms other methods, and approaches the Cramer-Rao lower bound at a sufficiently high noise level before the threshold effect occurs. Moreover, the interval widths of the results provide the confidence degree of the estimate. |
| first_indexed | 2024-03-12T04:42:13Z |
| format | Article |
| id | doaj.art-b07db80608bd4584b5053c6ae31e04ba |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T04:42:13Z |
| publishDate | 2021-02-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-b07db80608bd4584b5053c6ae31e04ba2023-09-03T09:33:58ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772021-02-011710.1177/1550147721991770Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisationNingning Qin0Chao Wang1Changxu Shan2Le Yang3Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaKey Laboratory of Advanced Process Control for Light Industry of Ministry of Education, Jiangnan University, Wuxi, ChinaKey Laboratory of Advanced Process Control for Light Industry of Ministry of Education, Jiangnan University, Wuxi, ChinaThe Department of Electrical and Computer Engineering Department, University of Canterbury, Christchurch, New ZealandIn this study, an interval extension method of a bi-iterative is proposed to determine a moving source. This method is developed by utilising the time difference of arrival and frequency difference of arrival measurements of a signals received from several receivers. Unlike the standard Gaussian noise model, the time difference of arrival - frequency difference of arrival measurements are obtained by interval enclosing, which avoids convergence and initialisation problems in the conventional Taylor-series method. Using the bi-iterative strategy, the algorithm can alternately calculate the position and velocity of the moving source in interval vector form. Simulation results indicate that the proposed scheme significantly outperforms other methods, and approaches the Cramer-Rao lower bound at a sufficiently high noise level before the threshold effect occurs. Moreover, the interval widths of the results provide the confidence degree of the estimate.https://doi.org/10.1177/1550147721991770 |
| spellingShingle | Ningning Qin Chao Wang Changxu Shan Le Yang Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation International Journal of Distributed Sensor Networks |
| title | Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation |
| title_full | Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation |
| title_fullStr | Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation |
| title_full_unstemmed | Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation |
| title_short | Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation |
| title_sort | interval analysis based bi iterative algorithm for robust tdoa fdoa moving source localisation |
| url | https://doi.org/10.1177/1550147721991770 |
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