Indoor RFID localization algorithm based on adaptive bat algorithm
Aiming at the problem that long time-consuming and poor positioning accuracy using geometric method in the traditional UHF RFID indoor localization algorithm, an RFID indoor positioning algorithm based on adaptive bat algorithm (ABA) was proposed.Firstly, the phase of multiple frequency points was o...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2022-08-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022159/ |
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| _version_ | 1841539952575250432 |
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| author | Liangbo XIE Yuyang LI Yong WANG Mu ZHOU Wei NIE |
| author_facet | Liangbo XIE Yuyang LI Yong WANG Mu ZHOU Wei NIE |
| author_sort | Liangbo XIE |
| collection | DOAJ |
| description | Aiming at the problem that long time-consuming and poor positioning accuracy using geometric method in the traditional UHF RFID indoor localization algorithm, an RFID indoor positioning algorithm based on adaptive bat algorithm (ABA) was proposed.Firstly, the phase of multiple frequency points was obtained by frequency hopping technology, and the location evaluation function of bat algorithm was established based on the angle information of multiple signal classification (MUSIC) algorithm and the distance information of clustering.Secondly, the bat location was initialized by tent reverse learning to increase the diversity of the population, and the adaptive weight factor was introduced to update the bat location.Finally, the target position was searched iteratively based on the position evaluation function to achieve fast centimeter level positioning.Experimental results show that the median localization error of the proposed algorithm is 7.74 cm, and the real-time performance is improved by 12 times compared with the traditional positioning algorithm based on the Chinese remainder theorem (CRT). |
| format | Article |
| id | doaj-art-0431fa18e33b456896aeaee735d4a579 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2022-08-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-0431fa18e33b456896aeaee735d4a5792025-01-14T06:28:56ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-08-0143909959392292Indoor RFID localization algorithm based on adaptive bat algorithmLiangbo XIEYuyang LIYong WANGMu ZHOUWei NIEAiming at the problem that long time-consuming and poor positioning accuracy using geometric method in the traditional UHF RFID indoor localization algorithm, an RFID indoor positioning algorithm based on adaptive bat algorithm (ABA) was proposed.Firstly, the phase of multiple frequency points was obtained by frequency hopping technology, and the location evaluation function of bat algorithm was established based on the angle information of multiple signal classification (MUSIC) algorithm and the distance information of clustering.Secondly, the bat location was initialized by tent reverse learning to increase the diversity of the population, and the adaptive weight factor was introduced to update the bat location.Finally, the target position was searched iteratively based on the position evaluation function to achieve fast centimeter level positioning.Experimental results show that the median localization error of the proposed algorithm is 7.74 cm, and the real-time performance is improved by 12 times compared with the traditional positioning algorithm based on the Chinese remainder theorem (CRT).http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022159/radio frequency identificationindoor location algorithmtent reverse learningadaptive bat algorithm |
| spellingShingle | Liangbo XIE Yuyang LI Yong WANG Mu ZHOU Wei NIE Indoor RFID localization algorithm based on adaptive bat algorithm Tongxin xuebao radio frequency identification indoor location algorithm tent reverse learning adaptive bat algorithm |
| title | Indoor RFID localization algorithm based on adaptive bat algorithm |
| title_full | Indoor RFID localization algorithm based on adaptive bat algorithm |
| title_fullStr | Indoor RFID localization algorithm based on adaptive bat algorithm |
| title_full_unstemmed | Indoor RFID localization algorithm based on adaptive bat algorithm |
| title_short | Indoor RFID localization algorithm based on adaptive bat algorithm |
| title_sort | indoor rfid localization algorithm based on adaptive bat algorithm |
| topic | radio frequency identification indoor location algorithm tent reverse learning adaptive bat algorithm |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022159/ |
| work_keys_str_mv | AT liangboxie indoorrfidlocalizationalgorithmbasedonadaptivebatalgorithm AT yuyangli indoorrfidlocalizationalgorithmbasedonadaptivebatalgorithm AT yongwang indoorrfidlocalizationalgorithmbasedonadaptivebatalgorithm AT muzhou indoorrfidlocalizationalgorithmbasedonadaptivebatalgorithm AT weinie indoorrfidlocalizationalgorithmbasedonadaptivebatalgorithm |