Frequency estimation method, device and system and computer readable storage medium

Abstract

The invention discloses a frequency estimation method which comprises the following steps: sampling echo signals of a surface acoustic wave sensor to obtain an information matrix; reconstructing the information matrix to obtain a reconstructed matrix; performing noise reduction processing on the reconstructed matrix to obtain a noise reduction matrix; and performing fast Fourier transform (FFT) onthe noise reduction matrix, and calculating the frequency of the echo signal according to the result of the FFT. According to the invention, an information matrix obtained by echo signal sampling isreconstructed, the reconstruction matrix is subjected to noise reduction processing to obtain the noise reduction matrix. The frequency of the echo signal is estimated by using the FFT algorithm, andthe redundant part of the information is filtered through noise reduction, so that the operand is reduced, the operation speed of the FFT algorithm is improved, the interference of invalid informationis avoided, and the frequency resolution of the FFT algorithm is improved. The invention also discloses a frequency estimation device and system and a computer readable storage medium, which have thesame beneficial effects as the frequency estimation method.

Description

technical field [0001] The present application relates to the technical field of surface acoustic wave sensor data processing, in particular to a frequency estimation method, device, system and computer-readable storage medium. Background technique [0002] The surface acoustic wave sensor is a sensor that directly outputs an echo signal corresponding to the temperature of the measured object. The processor extracts the frequency of the echo signal, and then obtains the temperature and other parameters of the measured object according to the pre-calibrated frequency and temperature curve. It can be seen that frequency estimation is the key link to realize parameter detection by SAW sensor. [0003] At present, in the field of signal processing, there are many algorithms for frequency estimation. FFT (Fast Fourier Transformation, Fast Fourier Transformation) is widely used because of its fast operation speed, few parameters, and the algorithm is not sensitive to parameters. ...

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Problems solved by technology

[0004] However, when the FFT algorithm processes a finite length of N-point time series, only N / 2 independent spectral lines can be used to effectively estimate the signal frequency. This redundancy of calculation information wastes calculations and reduces FFT The operation speed of the algorithm, on the other hand, due to the interference of invalid information, the frequency resolution ability is reduced

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