Optical Communication Technology, Volume. 48, Issue 2, 30(2024)
RBF neural network indoor visible light positioning algorithm based on multi-source information fusion
[1] [1] ROUTRAY S K. The changing trends of optical communication [J].IEEE Potentials, 2014, 33(1): 28-33.
[2] [2] GUO X, ANSARI N, HU F, et al. A survey on fusion-based indoor positioning[J]. IEEE Communications Surveys & Tutorials, 2019, 22(1): 566-594.
[3] [3] YIN L, WU X, HAAS H. Indoor visible light positioning with angle diversity transmitter [C]//IEEE. Proceedings of 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall). Boston: IEEE, 2015: 1-5.
[4] [4] GALVN-TEJADA C E, CARRASCO-JIMNEZ J C, BRENA R F. Blue-tooth-WiFi based combined positioning algorithm, implementation and experimental evaluation[J]. Procedia Technology, 2013, 7: 37-45.
[5] [5] VELDE S V D, ARORA G, VALLOZZI L, et al. Cooperative hybrid localization using Gaussian processes and belief propagation [C]//IEEE. Proceedings of 2015 IEEE International Conference on Communication Workshop (ICCW). London: IEEE, 2015: 785-790.
[7] [7] DU P, ZHANG S, CHEN C, et al. Demonstration of a low-complexity indoor visible light positioning system using an enhanced TDOA scheme [J]. IEEE Photonics Journal, 2018, 10(4): 1-10.
[8] [8] MARTN-GOROSTIZA E, GARCA-GARRIDO M A, PIZARRO D, et al. An indoor positioning approach based on fusion of cameras and infrared sensors[J]. Sensors, 2019, 19(11): 2519-2549.
[10] [10] MALIK F, BAHARUDIN B. Features analysis for content-based image retrieval based on color moments[J]. Research Journal of Applied Sciences,Engineering and Technology, 2012, 4(9): 1215-1224.
[11] [11] ILIYAS S A, ELSHAFEI M, HABIB M A, et al. RBF neural network inferential sensor for process emission monitoring [J]. Control Engineering Practice, 2013, 21(7): 962-970.
[12] [12] CHANG C C, HUANG H T. Automatic tuning of the RBF kernel parameter for batch-mode active learning algorithms: a scalable framework[J].IEEE Transactions on Cybernetics, 2018, 49(12): 4460-4472.
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WANG Qi, MENG Xiangyan, ZHAO Li. RBF neural network indoor visible light positioning algorithm based on multi-source information fusion[J]. Optical Communication Technology, 2024, 48(2): 30
Received: Oct. 8, 2023
Accepted: --
Published Online: Aug. 1, 2024
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