Signal instantaneous frequency estimation method

Abstract

The invention discloses a signal instantaneous frequency estimation method, and relates to the technical field of signal processing methods. The method comprises the following steps: inputting a signal and initializing each variable; performing two-dimensional search on the i-th signal to obtain an optimal parameter, and extracting instantaneous frequency estimation of the i-th signal under the optimal parameter; solving the time domain representation of the i-th signal, and subtracting the i-th signal from the original signal to obtain the remaining (i+1)-th signal; repeating the above stepsuntil the energy of the remaining components is less than a set threshold value; and finally, adding the obtained instantaneous frequency estimation of the components to realize instantaneous frequency estimation of the multi-component non-stationary signal. The method provided by the invention not only has adaptability to the number of signal components and relatively strong noise robustness, butalso improves the signal time-frequency distribution energy aggregation and instantaneous frequency estimation precision.

Description

Technical field [0001] The present invention relates to the field of signal processing, and more particularly to a signal instantaneous frequency estimation method. Background technique [0002] The instantaneous frequency is a feature amount that states the physical essence of non-steady signals. It has been widely used in the field of radar, sonar, mobile communication, and rotary mechanical and other technical fields. It can fully show the signal frequency over time variations, and The degree of signal energy concentration can be observed in the time-frequency distribution. Therefore, the estimation method of the instantaneous frequency of the research signal is important and practical value. [0003] In recent years, the signal instantaneous frequency extraction method is mainly maping one-dimensional frequency domain and time domain signal to the two-dimensional time frequency domain plane, thereby obtaining the time-frequency distribution of the signal, and finally completi...

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