高精度频率测量的快速算法。超声多普勒声纳的应用

H. Susaki
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引用次数: 1

摘要

为了研究连续波多普勒声纳的技术可行性,我们研究了一种使用数字信号处理技术的简单电路配置,以高速度分辨率或频率分辨率测量低速的方法。下面的讨论介绍了调查的结果。在下面描述的测量方法中,计算欠采样数据的快速傅里叶变换(FFT),并通过搜索功率谱的峰值频率获得多普勒频移。为了通过FFT操作达到1hz的预期频率分辨率,测量数据的最小测量周期为1秒是必不可少的。如果采样频率设置为50khz,则在1秒的最小测量周期内获得的采样数将达到50000个。考虑到FFT操作所需的时间,这是不实际的。为了克服这个问题,我们的新测量方法采用抽取技术,将样本数量减少到1024,同时保持约1hz的频率分辨率。本文描述了如何通过复指数函数、滤波和抽取相结合,将处理时间大大减少到传统技术的1/300左右,从而表明了实时连续波多普勒数据处理的可能性。
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A fast algorithm for high-accuracy frequency measurement. Application to ultrasonic Doppler sonar
In an attempt to investigate the technical feasibility of a continuous-wave Doppler sonar, we have examined a method of measuring low velocities with a high velocity resolution, or frequency resolution, by use of a simple circuit configuration employing digital signal processing technique. The following discussion presents the results of the investigation. In the measuring method described below, the fast Fourier transform (FFT) of undersampled data is calculated and the Doppler shift is obtained by searching for a peak frequency of the power spectrum. To achieve the intended frequency resolution of 1 Hz by FFT operation, measurement of data for a minimum measuring period of 1 second is essential. If the sampling frequency is set to 50 kHz, the number of samples obtained during the minimum measuring period of 1 second would amount to 50000. This is not practical in the light of the time required for the FFT operation. To overcome this problem, our new measuring method employs decimation technique for reducing the number of samples down to 1024 while maintaining a frequency resolution of about 1 Hz. This paper describes how the processing time can be drastically reduced to about 1/300 compared to the conventional technique by a combination of complex exponential functions, filtering and decimation, and thereby indicates the possibility of real-time continuous-wave Doppler data processing.
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