High Precision Indoor Visible Three-Dimensional Positioning System Based on Immune Algorithm

Pengfei, 王鹏飞 Wang; Weipeng, 关伟鹏 Guan; Shang-sheng, 文尚胜 Wen; Yongjian, 谢勇坚 Xie; Yuxiang, 吴玉香 Wu; Meiqi, 张美琦 Zhang

doi:10.3788/aos201838.1006007

Cited by 2 publications

(1 citation statement)

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“…In recent years, visible light communication (VLC) technology has developed rapidly. More researchers are using VLC to solve indoor positioning problems [26]. The visual light positioning (VLP) system dramatically increases the utilization rate of luminescence, and Light-emitting diodes (LEDs) are free from electromagnetic interference and consume low energy [10].…”

Section: Optimize the 3d Indoor Visible Light Positioning Methods Usi...mentioning

confidence: 99%

An Improved Cuckoo Search Algorithm Based on Elite Opposition-based Learning for Indoor Visible Light Positioning

Yang Yang,

Mao-Sheng Fu

et al. 2023

Journal of Computers

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<p>In the cuckoo search algorithm, the structure is simple, and the parameters are not much, but it is easy to trap into the local optimum, and in the later period, the convergence speed is plodding. Aiming at the shortcomings of the standard cuckoo algorithm, a modified cuckoo algorithm (EACSDAM) is presented in this paper, which adopts elite reverse learning to enhance the population diversity, and increases the step factor and discovery probability to improve the global detection and local searchability. Eight standard test functions are used to simulate the EACSDAM algorithm. Compared with the standard cuckoo algorithm and the other two improved algorithms, the accuracy and convergence speed of EACSDAM are greatly improved. In the end, EACSDAM is used to optimize the indoor 3D visible light positioning. The simulation results indicate that EACSDAM has a more powerful ability for global optimization, and more accurate positioning, and the positioning error is significantly reduced.</p> <p> </p>

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Section: Optimize the 3d Indoor Visible Light Positioning Methods Usi...mentioning

confidence: 99%