In light of the problem of low precision and time consuming in indoor three-dimensional positioning of visible light communication (VLC), we propose an indoor three-dimensional positioning system of VLC based on improved immune particle swarm optimization (IIMPSO) algorithm. To reduce the influence of reflection, we select the optimal field of view by analyzing the indoor multipath effect, and improve the positioning model in the state of inclination. Moreover, we use Kalman filter algorithm to decrease the influence of environmental interference on the received power. Then, we apply IIMPSO algorithm to the indoor VLC three-dimensional positioning system to improve the positioning precision and convergence speed. The simulation results indicate that the average positioning error is 3.12 cm, and the convergence time is 2.03 s. Compared with existing positioning systems, the new proposed three-dimensional positioning system are significantly improved in the positioning precision and convergence speed.

针对可见光通信(VLC)室内三维定位精度低、耗时长的问题，提出一种基于改进免疫粒子群优化(IIMPSO)算法的VLC室内三维定位系统。为了减少反射的影响，我们通过分析室内多径效应选择最佳视场，并改进倾斜状态下的定位模型。此外，我们使用卡尔曼滤波算法来减少环境干扰对接收功率的影响。然后，我们将IIMPSO算法应用于室内VLC三维定位系统，以提高定位精度和收敛速度。仿真结果表明，平均定位误差为3.12 cm，收敛时间为2.03 s。