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Parameter Estimation Method of LFM Signal Based on mgcstft

A linear frequency modulation signal and parameter estimation technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as inability to realize signal parameter estimation, achieve small precision, improve performance, and highlight the effect of local information

Active Publication Date: 2018-05-04
XIDIAN UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiency that the above-mentioned existing time-frequency analysis technology cannot realize the signal parameter estimation under the impulsive noise environment. On the basis of the traditional short-time Fourier transform time-frequency analysis technology, the generalized Cauchy distribution is used to construct A class of loss functions suitable for α-stable distributed noise environments, through the maximum likelihood estimation theory, obtains an improved short-time Fourier transform, that is, the maximum likelihood generalized Cauchy short-time Fourier transform MGCSTFT

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  • Parameter Estimation Method of LFM Signal Based on mgcstft
  • Parameter Estimation Method of LFM Signal Based on mgcstft
  • Parameter Estimation Method of LFM Signal Based on mgcstft

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings.

[0033] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0034] Step 1, collecting the chirp signal.

[0035] The signal acquisition system collects any chirp signal containing actual noise in the radar antenna through the receiver equipment of the pulse pressure radar.

[0036] The signal acquisition system selects any received signal containing the original chirp signal s(t) and impulse noise v(t) through the receiving antenna, and takes the selected received signal as the collected signal, that is, the received signal: x(t)=s (t)+v(t), where the model of the chirp signal s(t) can be expressed as:

[0037] s(t)=Aexp(j2πft+(jπkt 2 ),t∈[0,T]

[0038] Among them, A, f, k represent the amplitude, initial frequency and frequency modulation slope of the signal respectively, and T represents the time interval. The frequen...

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Abstract

The invention discloses a maximum-likehood-generalized-cauchy-short-time-fourier-transform (MGCSTFT)-based chirp signal parameter estimation method. On the basis of generalized Cauchy distribution, one kind of loss function suitable for an alpha stable distribution noise environment is constructed; and parameter estimation of a chirp signal is realized accurately by using a maximum likelihood estimation theory. The method comprises: step one; collecting a chirp signal; step two, determining a determination threshold; step three, determining whether a pulse noise is included; step five, setting a loss function; step five, carrying out maximum likehood generalized Cauchy short time fourier transform processing; and step six, extracting a parameter of a chirp signal. According to the invention, a problem of estimation signal parameter failure occurrence in an alpha stable distribution noise environment according to the traditional time frequency analysis technology can be solved; and the parameter estimation precision is improved.

Description

technical field [0001] The present invention belongs to the field of communication signal processing, and further relates to a chirp signal based on maximum likelihood generalized Cauchy Short Time Fourier Transform MGCSTFT (maxmium-likehood generalized Cauchy Short Time Fourier Transform MGCSTFT) in the technical field of radar signal processing Parameter Estimation Method. The invention uses the time-frequency analysis technology to iteratively remove the pulse noise in the time-frequency domain, and can accurately realize the parameter extraction of the linear frequency modulation signal in the α-stable distributed noise environment. Background technique [0002] Linear frequency modulation signal LFM (Linear Frequency Modulation LFM), also known as chirp signal, is a typical representative of non-stationary signal, because it retains the characteristics of continuous signal and pulse, it is widely used in radar, voice, sonar and biomedicine. In the case of digital recep...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/02
CPCG01S7/02
Inventor 金艳高舵姬红兵
Owner XIDIAN UNIV
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