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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:提高从平面近场测量中获得的远场结果中的信噪比的新方法

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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期望信号的情况下降低远场图案中的噪声功率的方法。因此,可以实现重要的信噪比改善。当在平面近场执行天线测量时,使用该方法,其中假设记录的数据被白色高斯和空间固定噪声损坏,因为接收器添加剂噪声。将测量的场从扫描平面移回传播到被测测试(aut)平面的天线,噪声保持白色高斯和空间静止,而所需的场在孔天线中理论上是集中的。由于这一事实,可以应用空间滤波,取消位于自动尺寸的字段,该字段仅由噪声组成。接下来,执行到远场变换的平面现场,与直接从测量获得的图案相比,实现了巨大的改进。为了验证该方法的有效性,将使用模拟和测量的近场数据来呈现两个示例。

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