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Objective and fast determination method of noise threshold of power spectrum density data

A technology of power spectral density and power density, which is applied in the field of objective and rapid determination of noise threshold of power spectral density data, and can solve problems such as spectral moment calculation errors

Inactive Publication Date: 2010-11-10
何平 +2
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Problems solved by technology

However, when there is a weather process (especially a precipitation weather process), the radar return signal will be significantly strengthened, and the remote gate also contains a non-negligible meteorological signal (see figure 1 ), then using the return signal of the remote gate as the noise threshold will bring a large error to the calculation of spectral moments
In addition, if there is a strong instantaneous clutter interference signal in the remote gate, it will also bring errors to the calculation of spectral moments

Method used

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  • Objective and fast determination method of noise threshold of power spectrum density data
  • Objective and fast determination method of noise threshold of power spectrum density data
  • Objective and fast determination method of noise threshold of power spectrum density data

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Embodiment Construction

[0060] The program realization of the method is an iterative cycle calculation process. Determine the maximum power density S from the original power spectral density data (denoted as {S}) max and power density minimum S min , and give the initial power density threshold L according to the golden section method, namely: L=0.382(S max -S min ). Then enter the iterative cycle calculation.

[0061] Iteration starts;

[0062] (1) The current power spectrum is recorded as: {S j}, the current power density threshold is recorded as: L(j).

[0063] (a) For the power spectrum {S j} Check each spectral line, change the spectral line whose amplitude is higher than the threshold L(j) to the threshold value, and get the new power spectrum as: {S j+1}.

[0064] (b) keep the original spectrum {S j} and new Spectrum {S j+1}.

[0065] (2) For the new spectrum {S j+1}, according to formula (9) to calculate the test factor R.

[0066] (3) The direction of program execution is deter...

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Abstract

The invention relates to an objective and fast determination method of the noise threshold of power spectrum density data, belonging to the field of wind profile radar signal and data processing. A wind profile radar extracts information of power spectrum density data, and a noise power threshold needs to be determined. In the prior art, the return signal power of a remote gate is used as the noise threshold. When the remote gate comprises non-negligible meteorologic signals, the error is great. The invention needs to solve the technical problem of objective and fast determination method of the noise threshold of power spectrum density data. A detection factor calculated by power spectrum density data and reflecting signal content is introduced according to the statistic characteristics of noise, and the noise threshold of each remote gate is determined through iterative calculations on the power spectrum data. A power density threshold is preset according to the maximum value and the minimum value of power spectrum density by a golden section method, the spectral lines with the amplitude higher than the power density threshold in the power spectra are cut until the detection factor shows that the residual spectra meet the noise characteristics, and thus, the noise threshold is determined.

Description

Technical field [0001] This method is directly applied to wind profiler radar (WPR) power spectral density data processing. For other types of radars, if the data processing is based on Fourier transform, and the power spectral density is used to extract the target motion and scattering intensity information, then this method is also applicable. Background technique [0002] Wind profiler radar is a pulse Doppler radar that obtains information on atmospheric motion velocity, velocity spectrum and echo intensity. To determine the echo location, the return signal needs to be separated into a range gate that matches the transmit pulse width. In one detection direction (called radial direction), dozens of range gates are divided, and spectrum processing is performed on each range gate to generate power spectral density data. All meteorological information (including meteorological target echo intensity, moving velocity and velocity spectral width) are extracted from the power ...

Claims

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Application Information

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IPC IPC(8): G01S7/41G01S13/95
CPCY02A90/10
Inventor 何平吴蕾魏艳强
Owner 何平
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