A method and an apparatus for adaptive wall (high-pass) filtering to remove low-frequency clutter in spectral Doppler I/Q data prior to FFT processing. The I/Q data is passed through a low-pass filter (26) which rejects the flow frequency components above the clutter frequency range. The total power of the low-pass filter output is then computed (28). A system noise model (30)is used to predict (32) the mean system noise power in the low-pass filter output. The predicted mean noise power provides a noise threshold to gage how much clutter power is present in the current FFT packet. If no significant clutter is present, then wall filter selection logic (36) will automatically select the lowest wall filter cutoff frequency stored in a filter coefficient LUT. If significant clutter power is present in the FFT packet, then the mean and variance of the clutter frequency over the FFT packet are estimated (34) and then input into the filter selection logic (36), which selects the most suitable filter cutoff for the current clutter signal. IMAGE
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机译:一种用于在FFT处理之前进行自适应壁(高通)滤波以去除频谱多普勒I / Q数据中的低频杂波的方法和装置。 I / Q数据通过低通滤波器(26),该低通滤波器拒绝高于杂波频率范围的流动频率分量。然后计算低通滤波器输出的总功率(28)。系统噪声模型(30)用于预测(32)低通滤波器输出中的平均系统噪声功率。预测的平均噪声功率提供了一个噪声阈值,以衡量当前FFT数据包中存在多少杂波功率。如果不存在明显的杂波,则壁滤波器选择逻辑(36)将自动选择存储在滤波器系数LUT中的最低壁滤波器截止频率。如果FFT数据包中存在明显的杂波功率,则估算FFT数据包上的杂波频率的均值和方差(34),然后输入到滤波器选择逻辑(36)中,后者选择最合适的滤波器截止频率当前的杂波信号。 <图像>
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