Self-adaptive high-precision fast spectral analysis method

Abstract

The invention relates to the technology of digital signal processing, and provides a self-adaptive high-precision fast spectral analysis method which solves the problem that an existing spectral analysis method is large in error and poor in precision. According to the technical scheme, the self-adaptive high-precision fast spectral analysis method comprises the steps of firstly collecting analog signals, carrying out preprocessing of smoothing, and then carrying out analog-digital conversion to obtain sampling data; selecting 28 data to carry out FFT processing to obtain preliminary signal frequency spectrum information, carrying out peak searching, and then carrying out spectral line aliasing recognition on the preliminary signal frequency spectrum information; if aliasing does not exist, carrying out frequency spectrum correction processing on the preliminary signal frequency spectrum information to obtain the frequency, the amplitude and the initial phase information of the signals; if the aliasing exists, carrying out repeated analysis band-pass filtering thinning processing on the preliminary signal frequency spectrum information, and then carrying out the frequency spectrum correction processing to obtain the frequency, the amplitude and the preliminary phase information of the signals respectively. The self-adaptive high-precision fast spectral analysis method has the advantages that under the premise that calculation precision is ensured, the calculation amount is reduced to a large extent, and the self-adaptive high-precision fast spectral analysis method is suitable for spectral analysis.

Description

technical field [0001] The invention relates to digital signal processing technology, in particular to frequency spectrum analysis technology of digital signal. Background technique [0002] Signal spectrum analysis has always been one of the hotspots in digital signal processing, and obtaining signal spectrum information is the key point in many fields. Since Cooely-Tukey first published the FFT (Fast Fourier Transform, Fast Fourier Transform) algorithm in the journal "Mathematics of Computation" in 1965, FFT and spectrum analysis have quickly developed into mechanical equipment fault diagnosis, power It is an important theoretical basis for many disciplines such as system, radio communication and information image processing, and it is a dynamic signal processing method that is widely used. On the basis of the FFT algorithm, many processing methods have been derived, such as ZoomFFT (Zoom-Fast Fourier Transform, zoom Fast Fourier Transform), MEM (Maximum Entropy Method, m...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of the current spectrum analysis method with large errors and poor precision, and provide an adaptive high-precision fast spectrum analysis method

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