基于联合卡尔曼滤波的电力线通信谐波干扰抑制  

Harmonic interference suppression in power-line communication based on joint Kalman filtering

作　　者：范永全[1,2] 张家树[2] 

机构地区：[1]西华大学数学与计算机学院,成都610039 [2]西南交通大学信号与信息处理重点实验室,成都610031

出　　处：《计算机应用研究》2009年第10期3706-3708,共3页Application Research of Computers

基　　金：国家自然科学基金资助项目(60572027)

摘　　要：针对混沌参数调制(CPM)的电力线通信(PLC)中谐波引起的窄带干扰,两阶段动态估计方法根据最小相空间体积(MPSV)准则估计模型参数,计算量大。为此,提出将未知参数合并到增广状态矩阵的联合卡尔曼滤波方法,避免了专门的参数估计过程,在提高增益性能的同时有效降低了计算量。方法的性能通过对混沌电力线通信下的单音干扰和多音干扰的有效抑制得到了验证。Addressing the narrowband interference caused by PLC with chaotic parameter modulation （CPM）. The two-stage dynamic-based method involved large amount of calculation due to parameter estimation with minimum phase space volume （MPSV） criteria. So this paper proposed joint Kalman filter by incorporating the unknown model parameters into augmented state transition matrix to avoid the special parameter estimation process, which reduced the size of calculation as well as improved the processing gain. Verified performance of the proposed method by effectively suppressing the single tone and multitone interference Of chaos-based PLC system.

关 键 词：电力线通信 干扰抑制 卡尔曼滤波 联合估计 

分 类 号：TN911.7[电子电信—通信与信息系统]