基于随机森林算法的室内可见光指纹定位方法
[1] SWASTIKASARI M M, SEDIYONO E, ARDJO A S. Design of E-KOST: an android-based mobile application using location based service(Study case:SWCU'S students)[C]//IEEE. proceedings of International Co-nference on Innovative and Creative Information Technology(ICITech). Salatiga: IEEE, 2017: 1-9.
[2] PEI L, CHEN R, LIU J, et al. Inquiry-based bluetooth indoor positioning via RSSI probability distributions[C]//IEEE. proceedings of Second Inter-national Conference on Advances in Satellite and Space Communications. Athens: IEEE, 2010: 151-156.
[3] YAO W, MA L. Research and application of indoor positioning method based on fixed infrared beacon[C]//IEEE. proceedings of 37th Chinese Control Conference(CCC). Wuhan: IEEE, 2018: 5375-5379.
[4] 万伟雄, 李晓东. 基于EKPF的超宽带室内动态目标定位算法[J]. 信息与电脑(理论版), 2021, 33(24): 39-42.
[5] MANZOOR F, YI H, MENZEL K. Passive RFID-based indoor position-ing system, an algorithmic approach[C]//IEEE. proceedings of International Conference on RFID-Technology and Applications. Guangzhou: IEEE, 2010: 112-117.
[6] 张亚鹏. 基于位置指纹的消防员室内定位系统设计与仿真[D]. 西安: 西安科技大学, 2019.
[7] YANG S H, JEONG E M, KIM D R, et al. Three-dimensional localization based on visible light optical wireless communication[J]. World Allergy Organization Journal, 2013, 7(1): 468-469.
[8] 曹燕平, 李晓记, 胡云云. 基于可见光指纹的室内高精度定位方法[J]. 激光与光电子学进展, 2019, 56(16): 16-21.
[9] CHEN L, LAIN J. Two-dimensional indoor visible light positioning using smartphone image sensor[C]//IEEE. proceedings of International Conference on Consumer Electronics-Taiwan(ICCE-TW). Taichung: IEEE, 2018: 1-2.
[10] 党宇超, 曹阳, 彭晓峰, 等. 多LED照明节点的室内可见光定位方法研究[J]. 光通信技术, 2020, 44(2): 1-5.
[11] 郭琛, 邵建华, 柯炜, 等. 基于指纹的可见光室内定位系统融合算法[J]. 南京师范大学学报(工程技术版), 2019, 19(1): 58-64.
[12] 许浩, 王旭东, 吴楠. 基于卷积神经网络的室内可见光指纹定位方法[J]. 激光与光电子学进展, 2021, 58(17): 227-234.
[13] 梁哲豪, 石磊, 唐杰, 等. 室内可见光指纹定位系统中WKNN算法改进研究[J]. 激光与光电子学进展, 2022, 1(1): 1-11.
[14] 赵楚韩, 张洪明, 宋健. 基于指纹的室内可见光定位方法[J]. 中国激光, 2018, 45(8): 202-208.
[15] 刘帅, 王旭东, 吴楠. 一种基于卷积神经网络的CSI指纹室内定位方法[J]. 工程科学学报, 2021, 43(11): 1512-1521.
[16] MAUNG N, LWI B Y, THIDA S. An enhanced RSS finger printing-based wireless indoor positioning using random forest classifier[C]//IEEE. proceedings of International Conference on Advanced Information Technologies(ICAIT). Yangon: IEEE, 2020: 59-63.
曲佳, 王旭东, 吴楠, 许浩. 基于随机森林算法的室内可见光指纹定位方法[J]. 光通信技术, 2023, 47(1): 1. QU Jia, WANG Xudong, WU Nan, XU Hao. Indoor visible light fingerprint positioning method based on random forest algorithm[J]. Optical Communication Technology, 2023, 47(1): 1.
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