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随着近年来城市交通运输的发展,高铁、地铁、轻轨等轨道交通线路不断新建运营,对城市的电磁环境产生了一定的影响,为尝试解决城市电磁干扰的消除问题,本文选用了两种基于加权线性最小二乘和n阶多项式模型的局部回归方法与它们的稳健形式,通过调节窗宽系数,去除噪声信号,并通过与未受干扰的数据比对,计算分析相关系数和欧氏平方距等数据指标,使之尽量接近于未受干扰时的数据形态,从而达到有效消除电磁干扰的结果。
With the development of urban transportation in recent years, the continuous operation of rail transit lines such as high-speed rail, subway and light rail has brought some impact on the urban electromagnetic environment. In order to solve the problem of eliminating electromagnetic interference in cities, Local regression methods and their robust forms of weighted linear least squares and n-order polynomial models remove the noise signal by adjusting the window-width coefficients, and calculate the correlation coefficient and the Euclidean distance by comparing with undisturbed data And other data indicators, make it as close as possible undisturbed data form, so as to effectively eliminate the electromagnetic interference results.