提出了一种基于正交频分复用(OFDM)调制的室内可见光通信指纹匹配定位算法(FMLA-OFDM)。实验表明,相比于传统的质心定位算法,所提算法平均定位精度提高了56%,定位稳定性提高了55%;随着LED水平间距的增大,所提算法定位精度明显优于基于最小二乘法模型的定位精度;相比于基于二进制启闭键控(OOK)调制方式的模型,所提算法的平均定位精度提高了17%,定位稳定性提高了21%。

We proposed a fingerprint matching and localization algorithm based on orthogonal frequency division multiplexing (OFDM) modulation for indoor visible light communication known as FMLA-OFDM. The experimental results show that compared with the traditional centroid localization algorithm, the average positioning accuracy of the proposed algorithm and the positioning stability are improved by 56% and 55%, respectively. Further, with the increase of the horizontal distance between LEDs, the positioning accuracy of the proposed algorithm is obviously superior to that of the positioning model based on the least square method. Finally, the average positioning accuracy and the positioning stability of the proposed algorithm are 17% and 21% higher than those of the positioning model based on the binary on-off keying (OOK) modulation mode, respectively.