可见光重构指纹室内定位算法研究

Research on Reconstruction Fingerprint Indoor Positioning Algorithm in Visible Light Communication

摘要:

提出一种可见光重构指纹室内定位算法(RFP),通过融合到达时间差(TDOA)算法和指纹算法可快速完成室内高精度定位。该算法首先利用TDOA算法多次估计得到的解集定义一个区域,然后在该区域中构建三维精细指纹库,再利用匹配算法定位未知节点。仿真结果表明,该算法的平均定位误差约为0.1719m,与传统的TDOA算法相比,提高了定位精度,与传统精细指纹算法相比,节省了定位时间。

Abstract:

Proposed is a visible light reconstruction fingerprint indoor positioning (RFP) algorithm, which combines time difference of arrival (TDOA) algorithm and fingerprint algorithm to quickly complete high-precision location. Firstly, it uses the solution set estimated by the TDOA algorithm to define a region, then it constructs a three-dimensional meticulous fingerprint database in the region, and thus locates the unknown node with the matching algorithm. Simulation results show that the average positioning error of the proposed algorithm is about 0.1719m, which improves the positioning accuracy compared with the traditional TDOA algorith, and saves the positioning time compared with the traditional meticulous fingerprint algorithm.