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Research on a reference signal optimisation algorithm for indoor Bluetooth positioning


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Kuo Y S, Pannuto P, Hsiao K J, et al. Luxapose: Indoor positioning with mobile phones and visible light[C]. Proceedings of the 20th annual international conference on Mobile computing and networking ACM, 2014, 447–458. KuoY S PannutoP HsiaoK J Luxapose: Indoor positioning with mobile phones and visible light[C] Proceedings of the 20th annual international conference on Mobile computing and networking ACM 2014 447 458 Search in Google Scholar

Dedes G, Dempster A G. Indoor GPS positioning-challenges and opportunities[C]. Vehicular Technology Conference 2005, 2005, 412–415. DedesG DempsterA G Indoor GPS positioning-challenges and opportunities[C] Vehicular Technology Conference 2005 2005 412 415 Search in Google Scholar

Want R, Hopper A, Falcao V, et al. The active badge location system[J]. ACM Transactions on Information Systems (TOIS), 1992, 10(1): 91–102. WantR HopperA FalcaoV The active badge location system[J] ACM Transactions on Information Systems (TOIS) 1992 10 1 91 102 Search in Google Scholar

Ward A, Jones A, Hopper A. A new location technique for the active office[J]. IEEE Personal communications, 1997, 4(5): 42–47. WardA JonesA HopperA A new location technique for the active office[J] IEEE Personal communications 1997 4 5 42 47 Search in Google Scholar

Newman N. Apple iBeacon technology briefing[J]. Journal of Direct, Data and Digital Marketing Practice, 2014, 15(3): 222–225. NewmanN Apple iBeacon technology briefing[J] Journal of Direct, Data and Digital Marketing Practice 2014 15 3 222 225 Search in Google Scholar

Gu Y, Zhang J, Wang J, et al. RFID Indoor Localization Algorithm Based on Adaptive Self-Correction[J]. International Journal of Smart Home, 2014, 8(6): 205–216. GuY ZhangJ WangJ RFID Indoor Localization Algorithm Based on Adaptive Self-Correction[J] International Journal of Smart Home 2014 8 6 205 216 Search in Google Scholar

Yang C, Shao H. WiFi-based indoor positioning[J]. Communications Magazine IEEE, 2015, 53(3):150–157. YangC ShaoH WiFi-based indoor positioning[J] Communications Magazine IEEE 2015 53 3 150 157 Search in Google Scholar

Pola M, Pavel Bezoušek, Jiří Škapa, et al. OFDM signal bandwidth selection for indoor positioning system[C]. Radio elektronika. IEEE, 2017, 1–4. PolaM BezoušekPavel ŠkapaJiří OFDM signal bandwidth selection for indoor positioning system[C] Radio elektronika. IEEE 2017 1 4 Search in Google Scholar

Sultana S, Tahsin M, Reza T, et al. An innovative implementation of indoor positioning system using GPS[C]. International Conference on Electrical Engineering & Information Communication Technology IEEE 2017, 1–4. SultanaS TahsinM RezaT An innovative implementation of indoor positioning system using GPS[C] International Conference on Electrical Engineering & Information Communication Technology IEEE 2017 1 4 Search in Google Scholar

Chen X, Zou S. Improved Wi-Fi Indoor Positioning Based on Particle Swarm Optimization[J]. IEEE Sensors Journal, 2017, 1–10. ChenX ZouS Improved Wi-Fi Indoor Positioning Based on Particle Swarm Optimization[J] IEEE Sensors Journal 2017 1 10 Search in Google Scholar

Riri P C, Kristalina P, Sudarsono A. Cluster-based pathloss exponential modeling for indoor positioning in wireless sensor network[C]. International Conference on Knowledge Creation & Intelligent Computing IEEE, 2017, 53–59. RiriP C KristalinaP SudarsonoA Cluster-based pathloss exponential modeling for indoor positioning in wireless sensor network[C] International Conference on Knowledge Creation & Intelligent Computing IEEE 2017 53 59 Search in Google Scholar

Zhiyong H, Dongqing Z, Shuangna Z, et al. A-GNSS Indoor Positioning Based on Coarse-time Navigation and RAIM Algorithm[J]. Geomatics & Information Science of Wuhan University, 2017, 42(3):321–327. ZhiyongH DongqingZ ShuangnaZ A-GNSS Indoor Positioning Based on Coarse-time Navigation and RAIM Algorithm[J] Geomatics & Information Science of Wuhan University 2017 42 3 321 327 Search in Google Scholar

Xujian H, Hao W. WIFI Indoor Positioning Algorithm Based on Improved Kalman Filtering[C]. International Conference on Intelligent Transportation IEEE, 2017, 349–352. XujianH HaoW WIFI Indoor Positioning Algorithm Based on Improved Kalman Filtering[C] International Conference on Intelligent Transportation IEEE 2017 349 352 Search in Google Scholar

Hongkai W, Ronald C, Sen W, et al. Efficient Indoor Positioning with Visual Experiences via Lifelong Learning[J]. IEEE Transactions on Mobile Computing, 2018, 1:1–5. HongkaiW RonaldC SenW Efficient Indoor Positioning with Visual Experiences via Lifelong Learning[J] IEEE Transactions on Mobile Computing 2018 1 1 5 Search in Google Scholar

Liu, Jun Zhu, Chunyan. A task scheduling method based on online algorithm in cloud computing environment[J]. Journal of Computational Methods in Sciences and Engineering, 2018, 18: 897–904. LiuJun ZhuChunyan A task scheduling method based on online algorithm in cloud computing environment[J] Journal of Computational Methods in Sciences and Engineering 2018 18 897 904 Search in Google Scholar

Zhao, Dadonga, Hu, Miaoa, Zhu, Yujuna et al. Energy balanced-based data transmission with mobile sensors[J]. Journal of Computational Methods in Sciences and Engineering, 2018, 18: 33–45. ZhaoDadonga HuMiaoa ZhuYujuna Energy balanced-based data transmission with mobile sensors[J] Journal of Computational Methods in Sciences and Engineering 2018 18 33 45 Search in Google Scholar

Luo H, Niu X, Li J, et al. Research on an Adaptive Algorithm for Indoor Bluetooth Positioning[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2017, 1854014. LuoH NiuX LiJ Research on an Adaptive Algorithm for Indoor Bluetooth Positioning[J] International Journal of Pattern Recognition and Artificial Intelligence 2017 1854014 Search in Google Scholar

May A J, Ross T, Bayer S H, et al. Pedestrian navigation aids: information requirements and design implications[J]. Personal and Ubiquitous Computing, 2003, 7(6): 331–338. MayA J RossT BayerS H Pedestrian navigation aids: information requirements and design implications[J] Personal and Ubiquitous Computing 2003 7 6 331 338 Search in Google Scholar

T. Kluge, C. Groba and T. Springer, “Trilateration, Fingerprinting, and Centroid: Taking Indoor Positioning with Bluetooth LE to the Wild,” 2020 IEEE 21st International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM), Cork, Ireland, 2020, pp. 264–272, doi: 10.1109/WoWMoM49955.2020.00054. KlugeT. GrobaC. SpringerT. “Trilateration, Fingerprinting, and Centroid: Taking Indoor Positioning with Bluetooth LE to the Wild,” 2020 IEEE 21st International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM) Cork, Ireland 2020 264 272 10.1109/WoWMoM49955.2020.00054 Open DOISearch in Google Scholar

Aranda, F.J.; Parralejo, F.; Álvarez, F.J.; Torres-Sospedra, J. Multi-Slot BLE Raw Database for Accurate Positioning in Mixed Indoor/Outdoor Environments. Data 2020, 5, 67. https://doi.org/10.3390/data5030067. ArandaF.J. ParralejoF. ÁlvarezF.J. Torres-SospedraJ. Multi-Slot BLE Raw Database for Accurate Positioning in Mixed Indoor/Outdoor Environments Data 2020 5 67 https://doi.org/10.3390/data5030067. Search in Google Scholar

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