Self-adaption instantaneous frequency measuring method with noise suppression performance

An instantaneous frequency and noise suppression technology, applied in the field of instantaneous frequency measurement, can solve the problems of decomposition method mode aliasing, sacrificing adaptive characteristics, wrong results, etc.

Active Publication Date: 2012-07-25
上海航天技术研究院
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Problems solved by technology

However, the empirical mode decomposition, the core technology of this method, has certain defects. It has poor resolution for subcomponents with relatively close frequencies (frequency ratio less than 2), and when it is disturbed by noise components, the decomposition method will cause mode aliasing and cause errors. result
In order to improve the frequency measurement accuracy of the Hilbert-Huang variation, an improved method using down-conversion preprocessing and adaptive filter bank as a pre-operation is proposed, but this improved method sacrifices the adaptive characteristics of the original method, and at the same time In the presence of noise interference, it does not have the ability to handle high robustness

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  • Self-adaption instantaneous frequency measuring method with noise suppression performance
  • Self-adaption instantaneous frequency measuring method with noise suppression performance
  • Self-adaption instantaneous frequency measuring method with noise suppression performance

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Embodiment Construction

[0044] like figure 1 As shown, the specific implementation scheme of the adaptive instantaneous frequency measurement method with noise suppression performance of the present invention is as follows, including:

[0045] Step 1: The signal to be measured is processed by a modified empirical mode decomposition to obtain multiple signal components;

[0046] Step 2: use the Teager energy operator to calculate the instantaneous frequency and instantaneous amplitude of each signal component;

[0047] Step 3: Construct the time-frequency-energy spectrum of the original signal, and obtain the instantaneous frequency information of the original signal.

[0048] Specifically, see figure 2 As shown, the first step is to decompose the modified empirical mode on the signal, which further includes the following steps:

[0049] Step 1.1, find the signal The local extremum point of ;

[0050] Step 1.2, calculation The local mean of , specifically, the solution to the mean envelope ...

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Abstract

The invention relates to a self-adaption instantaneous frequency measuring method with noise suppression performance. The self-adaption instantaneous frequency measuring method is characterized by comprising the following steps: (1) decomposing signals needing to be measured by adopting an experience correcting mode, and processing the signals to obtain a plurality of signal components; (2) calculating the instantaneous frequency and the instantaneous amplitude of each signal component by utilizing Teager energy operators; and (3) constructing a time-frequency-energy spectrum of original signals to obtain the instantaneous frequency information of the original signals. According to the method, the noise interference resisting capability is improved simultaneously when the self-adaption signal processing capability decomposed by the preexisting experience mode is reserved, and the mode aliasing phenomenon possibly generated by the preexisting method is avoided.

Description

technical field [0001] The invention relates to the technical field of radio frequency measurement, in particular to an instantaneous frequency measurement method with noise suppression capability, nonlinear and non-stationary signal analysis capability and self-adaptive processing capability. Background technique [0002] Instantaneous frequency measurement technology has a wide range of applications in the fields of communication and radar, and is particularly valuable in the military field. The classic frequency analysis method - Fourier transform is a kind of global analysis method, which cannot obtain the local frequency information of the signal. In order to obtain the information of the instantaneous frequency of the signal, time-frequency analysis tools including short-time Fourier transform, Wigner-Willi distribution and wavelet transform have been proposed one after another. However, the analysis method based on Fourier theory cannot break through the limitation o...

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Application Information

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IPC IPC(8): G01R23/02
Inventor 包飞陈潜
Owner 上海航天技术研究院
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