一种改进的马尔科夫链及其在电力线通信信道脉冲噪声建模中的应用

Application of improved Markov chain in impulse noise modeling of power line communication channel

脉冲噪声干扰严重影响电力线通信的可靠性。针对电力线通信信道脉冲噪声的幅值特性,提出了一种改进的马尔科夫链(峰式马尔科夫链),建立了脉冲噪声幅值的传统马尔科夫链模型和峰式马尔科夫链模型。通过比较两种模型,发现峰式马尔科夫链所建立模型保留了更多脉冲噪声幅值特性,与实际模型更相符。利用所建立峰式马尔科夫链模型仿真出电力线脉冲噪声幅值序列,比较两者转移概率矩阵中各概率值,误差很小,说明峰式马尔科夫链非常适合建立电力线通信信道脉冲噪声幅值模型。

Impulse noise severely affects the reliability of PLC. For amplitude characteristics of impulse noise in power line communication channel, a modified Markov chain （peak-type Markov chain） is proposed. What＇s more, the traditional Markov chain model and the peak Markov chain model of impulse noise amplitude are established. By comparing the two models, it is found that the model from the peak Markov chain retains more characteristics of impulse noise amplitude, which makes it more consistent to the actual model. The established peak-type Markov chain model is used to simulate the amplitude sequence of power line＇s impulse noise, and the probability in the transition probability matrix is compared. The error is very small, indicating that the peak Markov chain is very suitable for establishing impulse noise amplitude model in power line communication channel.