On Line Estimation of Power Line Channel Impedance Based on Transfer Function

A method of channel impedance estimation based on the characteristics of channel transfer function is proposed. According to the characteristics of different impedance with different reflection coefficients, which leads to different channel transfer functions, the mapping relationship between transfer function and channel impedance is established by using neural network. Compared with the existing methods, this method does not need special impedance measuring circuit, and can realize communication and impedance measurement at the same time. The maximum cross correlation of the transmission function of the received and received signals is taken as the feature sample of the neural network, which improves the accuracy under the noise condition. The feasibility and effectiveness of this method are verified from software model and hardware implementation.