Impact of moving target on underwater positioning by using state measurement
The localization of moving targets in an underwater acoustic wireless sensor network (UAWSN) is inaccurate due to the various underwater forces (viscous, hydrodynamic forces, perturbation of underwater). The false measurements in the sensor network cause position errors and velocity errors which dis...
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KeAi Communications Co., Ltd.
2024-01-01
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| Series: | Internet of Things and Cyber-Physical Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S266734522300055X |
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| author | Tippireddy Srinivasa Reddy Rajeev Arya |
| author_facet | Tippireddy Srinivasa Reddy Rajeev Arya |
| author_sort | Tippireddy Srinivasa Reddy |
| collection | DOAJ |
| description | The localization of moving targets in an underwater acoustic wireless sensor network (UAWSN) is inaccurate due to the various underwater forces (viscous, hydrodynamic forces, perturbation of underwater). The false measurements in the sensor network cause position errors and velocity errors which disrupt the localization of the moving target. A randomly fluctuated spillover effect is introduced in the present paper. The absorption losses generated due to the spillover effect cause false measurements of the moving target. Theorem 1 describes the genesis of these absorption losses and their consequences in UAWSN. The measurements from each moving target in the presence of absorption losses are formulated in the elliptical region. A joint probabilistic data association (JPDA) method is proposed to quantify the false measurements in the elliptical region. A moving target state estimation (MTSE) algorithm is proposed to eliminate the false measurements from the moving targets and to measure the localization of moving targets with the help of the propagation speed of targets. The theoretical measurements of position RMSE and velocity RMSE are verified with standard methods. The proposed MTSE method improves the localization performance of the moving targets by 29.42 % and reduces 32.16 % of position errors and 36.23 % of velocity errors up to 550 m. The proposed algorithm will be useful for the sub-aquatic Internet of underwater things (IoUT). |
| format | Article |
| id | doaj-art-d0fe46790e7b44b892c0f55090a8c4e8 |
| institution | Kabale University |
| issn | 2667-3452 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Internet of Things and Cyber-Physical Systems |
| spelling | doaj-art-d0fe46790e7b44b892c0f55090a8c4e82025-01-27T04:22:34ZengKeAi Communications Co., Ltd.Internet of Things and Cyber-Physical Systems2667-34522024-01-014141153Impact of moving target on underwater positioning by using state measurementTippireddy Srinivasa Reddy0Rajeev Arya1Corresponding author.; Wireless Sensor Networks Laboratory, Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, 800005, IndiaWireless Sensor Networks Laboratory, Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, 800005, IndiaThe localization of moving targets in an underwater acoustic wireless sensor network (UAWSN) is inaccurate due to the various underwater forces (viscous, hydrodynamic forces, perturbation of underwater). The false measurements in the sensor network cause position errors and velocity errors which disrupt the localization of the moving target. A randomly fluctuated spillover effect is introduced in the present paper. The absorption losses generated due to the spillover effect cause false measurements of the moving target. Theorem 1 describes the genesis of these absorption losses and their consequences in UAWSN. The measurements from each moving target in the presence of absorption losses are formulated in the elliptical region. A joint probabilistic data association (JPDA) method is proposed to quantify the false measurements in the elliptical region. A moving target state estimation (MTSE) algorithm is proposed to eliminate the false measurements from the moving targets and to measure the localization of moving targets with the help of the propagation speed of targets. The theoretical measurements of position RMSE and velocity RMSE are verified with standard methods. The proposed MTSE method improves the localization performance of the moving targets by 29.42 % and reduces 32.16 % of position errors and 36.23 % of velocity errors up to 550 m. The proposed algorithm will be useful for the sub-aquatic Internet of underwater things (IoUT).http://www.sciencedirect.com/science/article/pii/S266734522300055XLocalizationFalse measurementsAbsorption lossesSpillover effectUnderwater acoustic wireless sensor network |
| spellingShingle | Tippireddy Srinivasa Reddy Rajeev Arya Impact of moving target on underwater positioning by using state measurement Internet of Things and Cyber-Physical Systems Localization False measurements Absorption losses Spillover effect Underwater acoustic wireless sensor network |
| title | Impact of moving target on underwater positioning by using state measurement |
| title_full | Impact of moving target on underwater positioning by using state measurement |
| title_fullStr | Impact of moving target on underwater positioning by using state measurement |
| title_full_unstemmed | Impact of moving target on underwater positioning by using state measurement |
| title_short | Impact of moving target on underwater positioning by using state measurement |
| title_sort | impact of moving target on underwater positioning by using state measurement |
| topic | Localization False measurements Absorption losses Spillover effect Underwater acoustic wireless sensor network |
| url | http://www.sciencedirect.com/science/article/pii/S266734522300055X |
| work_keys_str_mv | AT tippireddysrinivasareddy impactofmovingtargetonunderwaterpositioningbyusingstatemeasurement AT rajeevarya impactofmovingtargetonunderwaterpositioningbyusingstatemeasurement |