Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks
We present a target localization method using an approximated error covariance matrix based weighted least squares (WLS) solution, which integrates received signal strength (RSS) and angle of arrival (AOA) data for wireless sensor networks. We approximated linear WLS errors via second-order Taylor a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/4/1159 |
| _version_ | 1818015144964259840 |
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| author | SeYoung Kang TaeHyun Kim WonZoo Chung |
| author_facet | SeYoung Kang TaeHyun Kim WonZoo Chung |
| author_sort | SeYoung Kang |
| collection | DOAJ |
| description | We present a target localization method using an approximated error covariance matrix based weighted least squares (WLS) solution, which integrates received signal strength (RSS) and angle of arrival (AOA) data for wireless sensor networks. We approximated linear WLS errors via second-order Taylor approximation, and further approximated the error covariance matrix using a least-squares solution and the variance in measurement noise over the sensor nodes. The algorithm does not require any prior knowledge of the true target position or noise variance. Simulations validated the superior performance of our new method. |
| first_indexed | 2024-04-14T06:53:04Z |
| format | Article |
| id | doaj.art-2d200234fa1848c386b95804052c18fd |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T06:53:04Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2d200234fa1848c386b95804052c18fd2022-12-22T02:06:58ZengMDPI AGSensors1424-82202020-02-01204115910.3390/s20041159s20041159Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor NetworksSeYoung Kang0TaeHyun Kim1WonZoo Chung2Division of Computer and Communications Engineering, Korea University, Seoul 02841, KoreaAgency for Defense Development, Daejeon 34186, KoreaDivision of Computer and Communications Engineering, Korea University, Seoul 02841, KoreaWe present a target localization method using an approximated error covariance matrix based weighted least squares (WLS) solution, which integrates received signal strength (RSS) and angle of arrival (AOA) data for wireless sensor networks. We approximated linear WLS errors via second-order Taylor approximation, and further approximated the error covariance matrix using a least-squares solution and the variance in measurement noise over the sensor nodes. The algorithm does not require any prior knowledge of the true target position or noise variance. Simulations validated the superior performance of our new method.https://www.mdpi.com/1424-8220/20/4/1159wireless sensor network (wsn)target localizationweighted least square (wls)received signal strength (rss)angle of arrival (aoa) |
| spellingShingle | SeYoung Kang TaeHyun Kim WonZoo Chung Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks Sensors wireless sensor network (wsn) target localization weighted least square (wls) received signal strength (rss) angle of arrival (aoa) |
| title | Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks |
| title_full | Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks |
| title_fullStr | Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks |
| title_full_unstemmed | Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks |
| title_short | Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks |
| title_sort | hybrid rss aoa localization using approximated weighted least square in wireless sensor networks |
| topic | wireless sensor network (wsn) target localization weighted least square (wls) received signal strength (rss) angle of arrival (aoa) |
| url | https://www.mdpi.com/1424-8220/20/4/1159 |
| work_keys_str_mv | AT seyoungkang hybridrssaoalocalizationusingapproximatedweightedleastsquareinwirelesssensornetworks AT taehyunkim hybridrssaoalocalizationusingapproximatedweightedleastsquareinwirelesssensornetworks AT wonzoochung hybridrssaoalocalizationusingapproximatedweightedleastsquareinwirelesssensornetworks |