基于张量模式噪声补偿的室内可见光通信系统的信道估计

Channel Estimation of Indoor Visible Light Communication System with Tensor Mode Noise Compensation

针对现有中继转发式室内可见光通信系统中信道估计算法存在的导频数量过大、估计效率和精度低的问题,提出基于张量模式噪声补偿的信道估计方法。首先,充分利用可见光通信系统发射数据的特点设计了一种适合在接收数据中进行噪声补偿的导频结构。然后,在PARATUCK2张量分解框架下,构造了这种导频模式的含噪通信系统模型。最后,结合张量分解方法,设计了一种以导频所得噪声补偿对实际噪声进行估计的方法,完成所有信道参数的计算。仿真实验结果表明,将基于张量模式噪声补偿的估计算法应用在中继转发式室内可见光通信系统中,可以在加快寻优迭代速度的同时提高估计精确度,充分验证该算法的有效性和可行性。

Aiming at the problem of large number of pilots and low efficiency and accuracy in existing channel estimation algorithms of relay-and-forward indoor visible light communication systems, a channel estimation method based on tensor mode noise compensation is proposed. Firstly, a pilot structure which is suitable for noise compensation for the received data is designed by making the best of the characteristics of the transmission data structure in visible light communication. Then, according to the framework of PARATUCK2 tensor decomposition, a communication system with noise model of this pilot mode is constructed. Finally, combined with the tensor decomposition method, a method of estimating the real noise with noise compensation of pilot frequency is designed, and all channel parameters are estimated. The simulation results show that the estimation algorithm based on tensor mode noise compensation can be applied to the relay-and-forward indoor visible light communication system, accelerate the iteration speed, and improve the estimation accuracy, which fully verifies the effectiveness and feasibility of the algorithm.