[1] Zafari F, Gkelias A, Leung K K. A survey of indoor localization systems and technologies[J]. IEEE Communications Surveys & Tutorials, 2019, 21(3): 2568-2599.

[2] Luo J H, Fan L Y, Li H S. Indoor positioning systems based on visible light communication: state of the art[J]. IEEE Communications Surveys & Tutorials, 2017, 19(4): 2871-2893.

[3] Zhuang Y, Hua L C, Qi L N, et al. A survey of positioning systems using visible LED lights[J]. IEEE Communications Surveys & Tutorials, 2018, 20(3): 1963-1988.

[4] 叶子蔚, 叶会英, 聂翔宇, 等. 基于接收信号强度检测的高精度可见光定位方法[J]. 中国激光, 2018, 45(3): 0306002.

    Ye Z W, Ye H Y, Nie X Y, et al. High-accuracy visible light positioning method based on received signal strength indicator[J]. Chinese Journal of Lasers, 2018, 45(3): 0306002.

[5] Mathias L C, de Melo L F, Abrao T. 3-D localization with multiple LEDs lamps in OFDM-VLC system[J]. IEEE Access, 2019, 7: 6249-6261.

[6] 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): 0806002.

    Zhao C H, Zhang H M, Song J. Fingerprint based visible light indoor localization method[J]. Chinese Journal of Lasers, 2018, 45(8): 0806002.

[7] Guo XS, Shao SH, AnsariN, et al. ( 2017-12-20)[2020-06-29]. https: ∥arxiv.org/abs/1703. 02184.

[8] Xie Y Q, Wang Y, Nallanathan A, et al. An improved K-nearest-neighbor indoor localization method based on spearman distance[J]. IEEE Signal Processing Letters, 2016, 23(3): 351-355.

[9] Huang G B, Zhou H M, Ding X J, et al. Extreme learning machine for regression and multiclass classification[J]. IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics: a Publication of the IEEE Systems, Man, and Cybernetics Society, 2012, 42(2): 513-529.

[10] Breiman L. Random forests[J]. Machine Learning, 2001, 45(1): 5-32.

[11] Zhang S, Du P F, Chen C, et al. Robust 3D indoor VLP system based on ANN using hybrid RSS/PDOA[J]. IEEE Access, 2019, 7: 47769-47780.

[12] Alam F, Chew M T, Wenge T, et al. An accurate visible light positioning system using regenerated fingerprint database based on calibrated propagation model[J]. IEEE Transactions on Instrumentation and Measurement, 2019, 68(8): 2714-2723.

[13] GligoricK, AjmaniM, VukobratovicD, et al. ( 2018-05-02)[2020-06-29]. https: ∥arxiv.org/abs/1805. 01001.

[14] Zhang R, Zhong W D, Qian K M, et al. A reversed visible light multitarget localization system via sparse matrix reconstruction[J]. IEEE Internet of Things Journal, 2018, 5(5): 4223-4230.

[15] Liu X J, Xia S T, Fu F W. Reconstruction guarantee analysis of basis pursuit for binary measurement matrices in compressed sensing[J]. IEEE Transactions on Information Theory, 2017, 63(5): 2922-2932.

[16] Feng C. Au W S A, Valaee S, et al. Received-signal-strength-based indoor positioning using compressive sensing[J]. IEEE Transactions on Mobile Computing, 2012, 11(12): 1983-1993.

[17] Li Z, Luo L G, Liu Y D, et al. UHF partial discharge localization algorithm based on compressed sensing[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2018, 25(1): 21-29.

[18] Qin Q D, Cheng S, Zhang Q Y, et al. Particle swarm optimization with interswarm interactive learning strategy[J]. IEEE Transactions on Cybernetics, 2016, 46(10): 2238-2251.

[19] Zhou B P, Lau V, Chen Q C, et al. Simultaneous positioning and orientating for visible light communications: algorithm design and performance analysis[J]. IEEE Transactions on Vehicular Technology, 2018, 67(12): 11790-11804.

[20] Cai Y, Guan W P, Wu Y X, et al. Indoor high precision three-dimensional positioning system based on visible light communication using particle swarm optimization[J]. IEEE Photonics Journal, 2017, 9(6): 7908120.

[21] Sahin A, Eroglu Y S, Guvenc I, et al. Hybrid3-D localization for visible light communication systems[J]. Journal of Lightwave Technology, 2015, 33(22): 4589-4599.

[22] Gu WJ, AminikashaniM, Kavehrad M. Impact of multipath reflections on the performance of indoor visible light positioning systems[EB/OL]. ( 2015-05-28)[2020-06-29]. https: ∥arxiv.org/abs/1505. 07534.

[23] 王鹏飞, 关伟鹏, 文尚胜, 等. 基于免疫算法的高精度室内可见光三维定位系统[J]. 光学学报, 2018, 38(10): 1006007.

    Wang P F, Guan W P, Wen S S, et al. High precision indoor visible three-dimensional positioning system based on immune algorithm[J]. Acta Optica Sinica, 2018, 38(10): 1006007.

[24] 徐世武, 吴怡, 苏国栋. 基于正交频分复用调制的可见光通信指纹匹配定位算法[J]. 激光与光电子学进展, 2019, 56(9): 090601.

    Xu S W, Wu Y, Su G D. Fingerprint matching and localization algorithm based on orthogonal frequency division multiplexing modulation for visible light communication[J]. Laser & Optoelectronics Progress, 2019, 56(9): 090601.

[25] 王杨, 赵红东. 基于智能手机的VLC/IPDR粒子滤波融合室内定位[J]. 中国激光, 2020, 47(7): 0706001.

    Wang Y, Zhao H D. VLC/PDR particle filter fusion indoor positioning based on smartphone[J]. Chinese Journal of Lasers, 2020, 47(7): 0706001.

[26] 徐世武, 吴怡, 王徐芳. 基于稀疏度自适应和位置指纹的可见光定位算法[J]. 光学学报, 2020, 40(18): 1806003.

    Xu S W, Wu Y, Wang X F. Visible light positioning algorithm based on sparsity adaptive and location fingerprinting[J]. Acta Optica Sinica, 2020, 40(18): 1806003.

[27] 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): 160601.

    Cao Y P, Li X J, Hu Y Y. Visible light fingerprint-based high-accuracy indoor positioning method[J]. Laser & Optoelectronics Progress, 2019, 56(16): 160601.

[28] 陈道钱, 吴晓平, 华宇婷. 一种测距辅助的室内可见光指纹定位方法[J]. 激光与光电子学进展, 2019, 56(6): 060603.

    Chen D Q, Wu X P, Hua Y T. Indoor visible light fingerprint localization scheme with range-assistance[J]. Laser & Optoelectronics Progress, 2019, 56(6): 060603.