Statistical impulse detection of in-vehicle power line noise using hidden Markov model
Statistical impulse detection of in-vehicle power line noise using hidden Markov model
复制标题
使用隐马尔可夫模型对车内电源线噪声进行统计脉冲检测
DOI：
10.1109/isplc.2010.5479912
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
and S. Horihata
中科院分区：
文献类型：
--
作者：
D. Umehara;M. Morikura;T. Hisada;S. Ishiko;and S. Horihata
为了在电子控制单元(ECU)之间进行通信，已经建立了使用诸如双绞线和光纤电缆等专用通信电缆的车辆中的控制信号网络。然而，也存在着线束重量增加、复杂网络体系结构的可靠性难以保证等问题。已经对使用车载电力线的通信系统进行了研究。利用车载电力线上噪声的两态隐马尔可夫-高斯噪声模型，提出了一种脉冲检测方案及其四个判据来判断通信周期中的脉冲发生。新方案包括使用Baum-Welch(BW)算法的最大后验概率(MAP)估计和估计模型参数的矩方法。将该方法应用于隐马尔可夫模型产生的噪声和车载电力线上观测到的噪声，并考察了它们的检测精度。结果表明，采用基于自由参数个数的脉冲发生判据，大大提高了检测精度。
Control signal networks in vehicles using dedicated communication cables such as twisted wires and fiber optics cables have been built in order to communicate between electronic control units (ECUs). However, there are problems such as the increase in weight of the cable harness and the difficulty to insure the reliability of complicated network architectures. Communication systems using in-vehicle power lines have been investigated. This paper proposes an impulse detection scheme and its four criteria to decide the impulse occurrence in a communication cycle by using the two-state hidden Markovian-Gaussian noise model for noise on in-vehicle power lines. The new scheme involves the maximum a posteriori (MAP) estimation using the Baum-Welch (BW) algorithm and the moment method to estimate the model parameters. The proposed scheme is applied to noise generated from the hidden Markov model and noise observed on in-vehicle power lines and investigate their detection accuracy. It is shown that the detection accuracy is substantially improved by using an impulse occurrence criterion based on the number of free parameters.
影响因子：
6.8
作者：
AKAIKE, H
通讯作者：
AKAIKE, H
影响因子：
2.1
作者：
V. Degardin;M. Liénard;P. Degauque;E. Simon;P. Laly
通讯作者：
P. Laly
马尔可夫-高斯通道的理论极限和实际检测方案
DOI：
10.1109/icc.2008.188
发表时间：
2008
期刊：
2008 IEEE International Conference on Communications
影响因子：
--
作者：
D. Fertonani;G. Colavolpe
通讯作者：
G. Colavolpe