室内高精度可见光定位系统使用Jaya算法
Cuicui Cai1, Maosheng Fu1, Xianmeng Meng2
1School of Electronics and Information Engineering, West Anhui University, Lu'an 237012, China.
Mathematical biosciences and engineering : MBE
|June 16, 2023
概括
一个新的室内定位系统使用可见光通信 (VLC) 和Jaya算法进行高精度的3D定位. 这种方法的平均误差为1.06厘米,显著超过其他算法.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 室内定位系统 (IPS) 对各种应用至关重要.
- 可见光通信 (VLC) 由于其简单性和精确性,为IPS提供了一个有前途的技术.
- 接收信号强度 (RSS) 是VLC系统定位的常见原则.
研究的目的:
- 使用Jaya算法提出一个室内三维 (3D) 可见光定位 (VLP) 系统.
- 与现有方法相比,提高室内定位的精度.
主要方法:
- 实现一个利用Jaya算法的3D VLP系统.
- 使用接收信号强度 (RSS) 来估计位置.
- 使用哈里斯·霍克斯优化 (HHO),群优化 (ACO-ABOM) 和修改的人工鱼算法 (MAFSA) 的比较分析.
主要成果:
- 在3D室内环境中,Jaya算法实现了1.06厘米的平均定位误差.
- 性能比较显示,平均误差低于HHO (2.21厘米),ACO-ABOM (1.86厘米) 和MAFSA (1.56厘米).
- 在运动场景中,拟议的系统实现了0.84厘米的高精度误差.
结论:
- 贾雅算法提供了一种高效准确的方法,用于使用VLC进行3D室内定位.
- 拟议的系统比其他测试过的算法表现出更高的性能.
- 这种方法对推进高精度室内定位应用具有重大潜力.
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