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Meteorological radar WTC suppression method based on morphological component analysis

A form component analysis, weather radar technology, applied in ICT adaptation, climate sustainability, radio wave reflection/re-radiation, etc., can solve problems that are not clearly pointed out, and achieve the effect of improving work performance and suppressing WTC

Pending Publication Date: 2020-09-04
HOHAI UNIV
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Problems solved by technology

Although F. Uysal's research provides ideas for the suppression of WTC in medium and large wind farm meteorological radars, how to accurately select the parameters in the process of solving the sparse coefficients of each component signal and optimize the algorithm to achieve rapid convergence, reduce the amount of computation, and realize component The purpose of signal lossless separation, the method does not explicitly indicate

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  • Meteorological radar WTC suppression method based on morphological component analysis
  • Meteorological radar WTC suppression method based on morphological component analysis
  • Meteorological radar WTC suppression method based on morphological component analysis

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Embodiment Construction

[0056] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0057] The present invention mainly studies the weather radar WTC suppression method based on morphological component analysis, figure 1 is the processing flow of the method. Assuming that the l-th distance unit receives meteorological signals, WTC signals and ground clutter signals at the same time, the noise in the radar echo is Gaussian noise, and the echo signal x∈C is defined K , whose expression is x=x 1 +x 2 +x 3 +n, where K is the number of sampling pulses, x 1 is the meteorological target signal, x 2 is the WTC signal, x 3 Be ground clutter signal, n is Gaussian noise, described meteorological radar wind turbine clutter suppressing method, its main steps are as follows:

[0058] Step 1, radar echo signal simulation, specifically:

[0059] In the present invention, radar echo signals include: meteorological signals, wind turbine signals ...

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Abstract

The invention discloses a meteorological radar WTC suppression method based on morphological component analysis. The method comprises the following steps: firstly, performing ground clutter suppression pretreatment on a pollution distance unit; secondly, respectively carrying out sparse representation on the preprocessed output signals in a Fourier transform domain and a short-time Fourier transform domain, and carrying out sparse separation on different morphological components by adopting a split augmented Lagrange contraction algorithm, so as to suppress WTC and recover meteorological signals on the distance unit. According to the invention, simulation experiment results show that the method can effectively inhibit ground clutters and WTC, can recover meteorological signals with high precision, and is suitable for engineering application.

Description

technical field [0001] The invention belongs to the field of meteorological radar clutter suppression, and in particular relates to a method for suppressing wind turbine clutter. Background technique [0002] While wind power generation meets people's growing demand for electric energy, the increase in the number of wind farms, the increase in turbine size and speed, makes the motion clutter caused by the high-speed rotation of turbine blades bring new challenges to the target detection of various radars. Especially weather radar. Different from common clutter, the Doppler spectrum of WTC (wind turbine clutter, wind turbine clutter) is severely broadened and even overlapped. Meteorological targets are often submerged in WTC, which seriously affects the prediction accuracy of meteorological information. To solve this problem, scientists from the United States, Germany, Spain and other countries have successively proposed three WTC suppression methods, namely: WTC suppression...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/36G01S13/95
CPCG01S7/36G01S13/95Y02A90/10
Inventor 沈明威万晓玉胥翔竣刘晨张深秋
Owner HOHAI UNIV
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