由于传统广义自适应形态滤波器难以应对电力信号采集现场噪声复杂多变的情况，结合前人的研究提出了一种改进滤波方法，采用多组结构元素，并使用变步长的自适应算法集中加权，构建了一种新的多结构元素自适应形态滤波器。相比较传统的形态滤波器，改进滤波器用处更广，使用更加灵活。仿真结果表明，改进的形态滤波器能有效抑制电力采样信号中的复杂噪声，滤波效果优于传统广义自适应形态滤波器，使用更加灵活，并且当噪声发生变化时可以保证输出结果稳定，具有较强的适应能力。%In view of the fact that the conventional adaptive generalized morphological filter is difficult to cope with the complex and changeable noises during power signal collection process, on the basis of the previous studies, an improved filtering method, using multi-structural elements and variable step size from centralized adaptive algorithm weights, is created to build a new multi-structural elements adaptive morphological filter. Compared to the tradi-tional morphological filters, improved filters can be used more broadly, and is more flexible at the same time. Sim-ulation results show that the improved morphological filter can effectively suppress the complex noise of the sampled power signal, and the filtering effect is better than traditional adaptive generalized morphological one, and can be used more flexibly. The improved morphological filter has a better adaptive ability, and when the noise changes the results could remain stable.
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