Method for dynamically estimating noise through radar echo and meteorological radar system
A technology of radar echo and noise, which is applied in the field of radar, can solve the problems of insufficient accuracy of meteorological prediction and the inability to collect dynamic system noise in real time, and achieve the effect of avoiding calculation deviation and improving accuracy
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Embodiment 1
[0025] Please refer to figure 1 , an embodiment of the present invention provides a method for filtering residual ground clutter, including:
[0026] 101. Calculate the power spectrum: convert the radar echo signal into an IQ time-series signal, perform Fourier transform (FastFourierTransform, FFT) on the IQ time-series signal whose sampling number is N in the k-th distance library, and calculate the power spectrum coefficient to obtain The power spectrum sp,k is a positive integer.
[0027] When performing meteorological forecasts, the weather radar system scans in plane position scanning and / or volume scanning mode to obtain radar echo signals. Subsequently, based on the analysis and calculation of the radar echo signal, the weather is predicted. In the actual signal processing, the radar echo signal is also converted into an IO timing signal. The IQ timing signal refers to the signal obtained by shifting the phase of the radar echo signal by 90 degrees, and the subsequent...
Embodiment 2
[0043] Please refer to figure 2 , an embodiment of the present invention provides a weather radar system, including:
[0044] A signal conversion module 201, configured to convert the radar echo signal into an IQ timing signal;
[0045] The power spectrum module 202 is used to carry out Fourier transform to the IQ time-series signal whose number of samples of the kth distance library is N, and calculates the power spectrum coefficients to obtain the power spectrum sp, and k is a positive integer; power spectrum sp in ascending order Sort, record the sorted power spectrum as sp S ;
[0046]The cycle calculation module 203 is used to set the variables mc and b0, when initializing mc=N, b0=0; when judging mc>2, and b0 b 1 = 1 mc Σ n = 1 mc sp s ( n ...
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