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Novel method to improve the signal-to-noise ratio in the far-field results obtained from planar near-field measurements

机译:从平面近场测量获得的改善远场结果信噪比的新方法

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摘要

A method to reduce the noise power in far-field pattern without modifying the desired signal is proposed. Therefore, an important signal-to-noise ratio improvement may be achieved. The method is used when the antenna measurement is performed in planar near-field, where the recorded data are assumed to be corrupted with white Gaussian and space-stationary noise, because of the receiver additive noise. Back-propagating the measured field from the scan plane to the antenna under test (AUT) plane, the noise remains white Gaussian and space-stationary, whereas the desired field is theoretically concentrated in the aperture antenna. Thanks to this fact, a spatial filtering may be applied, cancelling the field which is located out of the AUT dimensions and which is only composed by noise. Next, a planar field to far-field transformation is carried out, achieving a great improvement compared to the pattern obtained directly from the measurement. To verify the effectiveness of the method, two examples will be presented using both simulated and measured near-field data.
机译:提出了一种在不修改所需信号的情况下降低远场模式噪声功率的方法。因此,可以实现重要的信噪比改善。当在平面近场中执行天线测量时使用该方法,在该平面近场中,由于接收器加性噪声,假定记录的数据被白高斯噪声和空间平稳噪声破坏了。向后传播从扫描平面到被测天线(AUT)平面的测量场,噪声仍然是白色高斯和空间平稳的,而理论上所需的场则集中在孔径天线中。由于这个事实,可以应用空间滤波,从而消除位于AUT尺寸之外且仅由噪声组成的场。接下来,进行了平面场到远场的转换,与直接从测量获得的图案相比,有了很大的改进。为了验证该方法的有效性,将使用模拟和测量的近场数据给出两个示例。

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