Smoother Integral Sliding Mode Filter for RSSI-Based Localization
This study advances our previous research on radio frequency (RF) source localization using unmanned aerial vehicles (UAVs) through a novel geometrical Received Signal Strength Indicator (RSSI) approach. Our methodology utilizes four UAVs, split into two groups, which adjust their positions until th...
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10693456/ |
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| author | Nurbanu Guzey |
| author_facet | Nurbanu Guzey |
| author_sort | Nurbanu Guzey |
| collection | DOAJ |
| description | This study advances our previous research on radio frequency (RF) source localization using unmanned aerial vehicles (UAVs) through a novel geometrical Received Signal Strength Indicator (RSSI) approach. Our methodology utilizes four UAVs, split into two groups, which adjust their positions until the power received by each UAV matches that of its counterpart, allowing the calculation of intersecting lines that pinpoint the source location. Recognizing the challenges posed by environmental noise which can alter signal values leading to inaccurate estimations, we introduce a smoother integral sliding mode filter. This enhanced filter incorporates the integral of the error into the sliding mode control framework to address the high-frequency chattering typically associated with sliding mode filters in noisy environments. This adaptation not only reduces the chattering effect but also stabilizes the UAV’s response to fluctuating signal strengths, resulting in more accurate and reliable localization. Simulation results demonstrate a marked improvement in localization accuracy and robustness against noise. |
| format | Article |
| id | doaj-art-2cfb5e8799f04d6d9f4a009bfda441ff |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-2cfb5e8799f04d6d9f4a009bfda441ff2025-08-20T02:01:57ZengIEEEIEEE Access2169-35362024-01-011217241017241810.1109/ACCESS.2024.346799410693456Smoother Integral Sliding Mode Filter for RSSI-Based LocalizationNurbanu Guzey0https://orcid.org/0000-0002-6587-2489Department of Computer Engineering, Sivas University of Science and Technology, Sivas, TürkiyeThis study advances our previous research on radio frequency (RF) source localization using unmanned aerial vehicles (UAVs) through a novel geometrical Received Signal Strength Indicator (RSSI) approach. Our methodology utilizes four UAVs, split into two groups, which adjust their positions until the power received by each UAV matches that of its counterpart, allowing the calculation of intersecting lines that pinpoint the source location. Recognizing the challenges posed by environmental noise which can alter signal values leading to inaccurate estimations, we introduce a smoother integral sliding mode filter. This enhanced filter incorporates the integral of the error into the sliding mode control framework to address the high-frequency chattering typically associated with sliding mode filters in noisy environments. This adaptation not only reduces the chattering effect but also stabilizes the UAV’s response to fluctuating signal strengths, resulting in more accurate and reliable localization. Simulation results demonstrate a marked improvement in localization accuracy and robustness against noise.https://ieeexplore.ieee.org/document/10693456/Localizationreceived signal strength indicatorsliding mode filterunmanned aerial vehicles |
| spellingShingle | Nurbanu Guzey Smoother Integral Sliding Mode Filter for RSSI-Based Localization IEEE Access Localization received signal strength indicator sliding mode filter unmanned aerial vehicles |
| title | Smoother Integral Sliding Mode Filter for RSSI-Based Localization |
| title_full | Smoother Integral Sliding Mode Filter for RSSI-Based Localization |
| title_fullStr | Smoother Integral Sliding Mode Filter for RSSI-Based Localization |
| title_full_unstemmed | Smoother Integral Sliding Mode Filter for RSSI-Based Localization |
| title_short | Smoother Integral Sliding Mode Filter for RSSI-Based Localization |
| title_sort | smoother integral sliding mode filter for rssi based localization |
| topic | Localization received signal strength indicator sliding mode filter unmanned aerial vehicles |
| url | https://ieeexplore.ieee.org/document/10693456/ |
| work_keys_str_mv | AT nurbanuguzey smootherintegralslidingmodefilterforrssibasedlocalization |