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weather radar with spectral discrimination of gauss einhullenden eliminate clutter

机译:具有高斯艾因霍伦光谱分辨能力的气象雷达可消除杂波

摘要

A method for removing clutter related frequency components from power spectrums generated from weather radar return signals to provide improved windshear detection capability. Weather radar return signals are synchronously detected and digitized to provide i and q time domain sample sequences. The i and q time domain sample sequences are passed through a window function and then transformed to frequency domain sequences by a Fast Fourier Transform. A power spectrum is generated from the frequency domain sequences. The spectrum is subjected to a Spectral Gaussian Envelope Discrimination (SGED) process in which the spectral envelope is scanned to identify any lobe therein having a slope greater than a predetermined minimum. A first pseudo-Gaussian sigma, calculated from the width and maximum amplitude of any such lobe, is compared with a second pseudo-Gaussian sigma, calculated from known conditions. If the first sigma is less than the second sigma, the lobe is deemed to be clutter related and is edited from the spectral envelope.
机译:一种从天气雷达返回信号产生的功率谱中去除杂波相关频率分量以提供改进的风切变检测能力的方法。气象雷达返回信号被同步检测并数字化以提供i和q时域采样序列。 i和q时域样本序列通过窗口函数传递,然后通过快速傅立叶变换转换为频域序列。从频域序列产生功率谱。对该光谱进行光谱高斯包络鉴别(SGED)过程,其中扫描光谱包络以识别其中的任何斜率大于预定最小值的波瓣。将根据任何这样的波瓣的宽度和最大幅度计算出的第一伪高斯西格玛与根据已知条件计算出的第二伪高斯西格玛进行比较。如果第一sigma小于第二sigma,则将波瓣视为杂波相关的,并从频谱包络中进行编辑。

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