Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks
<p dir="ltr">Source positioning using hybrid angle-of-arrival (AOA) estimation and received signal strength indicator (RSSI) is attractive because no synchronization is required among unknown nodes and anchors. Conventionally, hybrid AOA/RSSI localization combines the same number of...
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| مؤلفون آخرون: | , , , , , , |
| منشور في: |
2020
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| الموضوعات: | |
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| _version_ | 1864513516012044288 |
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| author | Anh Tuyen Le (7213172) |
| author2 | Le Chung Tran (18560944) Xiaojing Huang (452039) Christian Ritz (607565) Eryk Dutkiewicz (2159947) Son Lam Phung (18460602) Abdesselam Bouzerdoum (17900021) Daniel Franklin (5687456) |
| author2_role | author author author author author author author |
| author_facet | Anh Tuyen Le (7213172) Le Chung Tran (18560944) Xiaojing Huang (452039) Christian Ritz (607565) Eryk Dutkiewicz (2159947) Son Lam Phung (18460602) Abdesselam Bouzerdoum (17900021) Daniel Franklin (5687456) |
| author_role | author |
| dc.creator.none.fl_str_mv | Anh Tuyen Le (7213172) Le Chung Tran (18560944) Xiaojing Huang (452039) Christian Ritz (607565) Eryk Dutkiewicz (2159947) Son Lam Phung (18460602) Abdesselam Bouzerdoum (17900021) Daniel Franklin (5687456) |
| dc.date.none.fl_str_mv | 2020-07-09T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/s20143838 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Unbalanced_Hybrid_AOA_RSSI_Localization_for_Simplified_Wireless_Sensor_Networks/25827268 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Communications engineering Information and computing sciences Distributed computing and systems software angle of arrival (AOA) eceived signal strength indicator (RSSI) target localization wireless sensor network (WSN) positioning |
| dc.title.none.fl_str_mv | Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Source positioning using hybrid angle-of-arrival (AOA) estimation and received signal strength indicator (RSSI) is attractive because no synchronization is required among unknown nodes and anchors. Conventionally, hybrid AOA/RSSI localization combines the same number of these measurements to estimate the agents’ locations. However, since AOA estimation requires anchors to be equipped with large antenna arrays and complicated signal processing, this conventional combination makes the wireless sensor network (WSN) complicated. This paper proposes an unbalanced integration of the two measurements, called 1AOA/nRSSI, to simplify the WSN. Instead of using many anchors with large antenna arrays, the proposed method only requires one master anchor to provide one AOA estimation, while other anchors are simple single-antenna transceivers. By simply transforming the 1AOA/1RSSI information into two corresponding virtual anchors, the problem of integrating one AOA and N RSSI measurements is solved using the least square and subspace methods. The solutions are then evaluated to characterize the impact of angular and distance measurement errors. Simulation results show that the proposed network achieves the same level of precision as in a fully hybrid nAOA/nRSSI network with a slightly higher number of simple anchors.</p><h2>Other Information</h2><p dir="ltr">Published in: Sensors<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/s20143838" target="_blank">https://dx.doi.org/10.3390/s20143838</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_324a45ecb55b9304502e0e54231033cb |
| identifier_str_mv | 10.3390/s20143838 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25827268 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor NetworksAnh Tuyen Le (7213172)Le Chung Tran (18560944)Xiaojing Huang (452039)Christian Ritz (607565)Eryk Dutkiewicz (2159947)Son Lam Phung (18460602)Abdesselam Bouzerdoum (17900021)Daniel Franklin (5687456)EngineeringCommunications engineeringInformation and computing sciencesDistributed computing and systems softwareangle of arrival (AOA)eceived signal strength indicator (RSSI)target localizationwireless sensor network (WSN)positioning<p dir="ltr">Source positioning using hybrid angle-of-arrival (AOA) estimation and received signal strength indicator (RSSI) is attractive because no synchronization is required among unknown nodes and anchors. Conventionally, hybrid AOA/RSSI localization combines the same number of these measurements to estimate the agents’ locations. However, since AOA estimation requires anchors to be equipped with large antenna arrays and complicated signal processing, this conventional combination makes the wireless sensor network (WSN) complicated. This paper proposes an unbalanced integration of the two measurements, called 1AOA/nRSSI, to simplify the WSN. Instead of using many anchors with large antenna arrays, the proposed method only requires one master anchor to provide one AOA estimation, while other anchors are simple single-antenna transceivers. By simply transforming the 1AOA/1RSSI information into two corresponding virtual anchors, the problem of integrating one AOA and N RSSI measurements is solved using the least square and subspace methods. The solutions are then evaluated to characterize the impact of angular and distance measurement errors. Simulation results show that the proposed network achieves the same level of precision as in a fully hybrid nAOA/nRSSI network with a slightly higher number of simple anchors.</p><h2>Other Information</h2><p dir="ltr">Published in: Sensors<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/s20143838" target="_blank">https://dx.doi.org/10.3390/s20143838</a></p>2020-07-09T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/s20143838https://figshare.com/articles/journal_contribution/Unbalanced_Hybrid_AOA_RSSI_Localization_for_Simplified_Wireless_Sensor_Networks/25827268CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/258272682020-07-09T03:00:00Z |
| spellingShingle | Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks Anh Tuyen Le (7213172) Engineering Communications engineering Information and computing sciences Distributed computing and systems software angle of arrival (AOA) eceived signal strength indicator (RSSI) target localization wireless sensor network (WSN) positioning |
| status_str | publishedVersion |
| title | Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks |
| title_full | Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks |
| title_fullStr | Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks |
| title_full_unstemmed | Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks |
| title_short | Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks |
| title_sort | Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks |
| topic | Engineering Communications engineering Information and computing sciences Distributed computing and systems software angle of arrival (AOA) eceived signal strength indicator (RSSI) target localization wireless sensor network (WSN) positioning |