降低近场测量中的噪声

Christopher Osterwise, S. Grant, D. Beetner
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引用次数: 5

摘要

近场测量有时会受到来自远场或近场源的环境噪声的干扰。远场噪声可以通过在屏蔽室内进行测量来消除,但这种选择并不总是可用的。提出了一种自适应噪声消除技术,用于消除噪声环境下测量产生的环境电磁干扰。采用时域、非递归、分块处理算法生成自适应线性滤波器。将一个时钟逻辑电子设备在噪声环境中的近场测量与在无噪声环境中的测量进行了比较,以证明该算法可以正确地从记录的信号中去除环境电磁噪声。频率范围为10至700 MHz的电磁噪声信号的幅度降低了20db或更多,通常降至热噪声的水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reduction of noise in near-field measurements
Near-field measurements are sometimes corrupted by ambient noise from either far- or near-field sources. Far-field noise can be removed by performing measurements in a shielded room, but this option is not always available. An adaptive noise cancellation technique is proposed for cancelling ambient electromagnetic interference from measurements taken in a noisy environment. A time-domain, non-recursive, block-processing algorithm was selected to generate the adaptive linear filter. Measurements in the near field of a clocked-logic electronic device in a noisy environment are compared with measurements of the same device in a noise-free environment to demonstrate that the algorithm properly removes ambient electromagnetic noise from the recorded signals. Electromagnetic noise signals in the frequency range of 10 to 700 MHz are reduced in magnitude by 20 dB or more, often to the level of thermal noise.
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