光学学报, 2020, 40 (18): 1806003, 网络出版: 2020-09-02   

基于稀疏度自适应和位置指纹的可见光定位算法 下载: 990次

Visible Light Positioning Algorithm Based on Sparsity Adaptive and Location Fingerprinting
徐世武 1,2吴怡 1,*王徐芳 1,**
作者单位
1 福建师范大学医学光电科学与技术教育部重点实验室暨福建省光子技术重点实验室, 福建 福州 350007
2 福建师范大学协和学院, 福建 福州 350117
引用该论文

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.

Shiwu Xu, Yi Wu, Xufang Wang. Visible Light Positioning Algorithm Based on Sparsity Adaptive and Location Fingerprinting[J]. Acta Optica Sinica, 2020, 40(18): 1806003.

参考文献

[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] 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.

[3] Wu Y X, Liu X W, Guan W P, et al. High-speed 3D indoor localization system based on visible light communication using differential evolution algorithm[J]. Optics Communications, 2018, 424: 177-189.

[4] Gu W J, Aminikashani M, Deng P, et al. Impact of multipath reflections on the performance of indoor visible light positioning systems[J]. Journal of Lightwave Technology, 2016, 34(10): 2578-2587.

[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] 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.

[7] 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.

[8] Guo X S, Shao S H, Ansari N, et al. Indoor localization using visible light via fusion of multiple classifiers[J]. IEEE Photonics Journal, 2017, 9(6): 7803716.

[9] Lovón-Melgarejo J, Castillo-Cara M, Huarcaya-Canal O, et al. Comparative study of supervised learning and metaheuristic algorithms for the development of bluetooth-based indoor localization mechanisms[J]. IEEE Access, 2019, 7: 26123-26135.

[10] 李方敏, 张韬, 刘凯, 等. 基于距离测量和位置指纹的室内定位方法研究[J]. 计算机学报, 2019, 42(2): 339-350.

    Li F M, Zhang T, Liu K, et al. An indoor positioning method based onrange measuring and location fingerprinting[J]. Chinese Journal of Computers, 2019, 42(2): 339-350.

[11] Hu J S, Liu D W, Yan Z, et al. Experimental analysis on weight K-nearest neighbor indoor fingerprint positioning[J]. IEEE Internet of Things Journal, 2019, 6(1): 891-897.

[12] Van M T, Tuan N V, Son T T, et al. Weighted K-nearest neighbour model for indoor VLC positioning[J]. IET Communications, 2017, 11(6): 864-871.

[13] 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.

[14] 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 frequencydivision multiplexing modulation for visible light communication[J]. Laser & Optoelectronics Progress, 2019, 56(9): 090601.

[15] 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.

[16] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.

[17] Tropp J A, Gilbert A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666.

[18] Ajmani M, et al. Visible light communications-based indoor positioning via compressed sensing[J]. IEEE Communications Letters, 2018, 22(7): 1410-1413.

[19] 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.

[20] 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.

[21] Komine T, Nakagawa M. Fundamental analysis for visible-light communication system using LED lights[J]. IEEE Transactions on Consumer Electronics, 2004, 50(1): 100-107.

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. Shiwu Xu, Yi Wu, Xufang Wang. Visible Light Positioning Algorithm Based on Sparsity Adaptive and Location Fingerprinting[J]. Acta Optica Sinica, 2020, 40(18): 1806003.

本文已被 11 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!