一种测量自适应Huber滤波在电路系统中的应用

A measurement adaptive Huber filter and application in circuit system

针对测量噪声未知条件下电路系统状态估计非最优问题,基于Huber自适应滤波思想,提出将滤波量测更新步骤转化为线性回归问题,采用测量残差迭代求解方法得到电路系统状态最优估计。仿真结果验证了本文提出的Huber自适应滤波改进算法相比传统滤波算法估计精度更高。

Amine at the non-optimal state estimation problem of a circuit system with the measurement noise being uncertain,a Huber-based adaptive filter is proposed,which recasts the measurement update step into a linear regression problem,thus,the optimal estimation of the circuit system can be obtained by an iterative solution of the measurement residual.Simulation results show that,the proposed algorithm is of higher estimation accuracy than the traditional ones.