Wind profile radar echo spectrum reconfiguration method based on fuzzy logic recognition

Abstract

The invention discloses a wind profile radar echo spectrum reconfiguration method based on fuzzy logic recognition. The wind profile radar echo spectrum reconfiguration method includes the specific steps: rapidly performing median filtering on wind profile radar echo power spectra; extracting turbulent echo by means of fuzzy logic recognition according to difference among turbulent signals in echo signals and clutter (ground clutter, intermittent clutter and radio frequency interference) signals in terms of spectral continuity, spectral intensity, spectral position and spectral width; fuzzingsubordinate functions of the spectral intensity and the spectral continuity for the echo power spectra, converting the subordinate functions into a spectral intensity fuzzy basis and a spectral continuity fuzzy basis and recognizing a fuzzy logic system by the aid of the fuzzy bases serving as substitute values of actually detected power spectra; and calculating wind profile radar turbulent echo signal moment data including noise level, signal-to-noise ratio, first moment and second moment by means of performing Gaussian least square fitting on turbulent echo spectral peaks recognized by the aid of fuzzy logic. By the aid of the wind profile radar echo spectrum reconfiguration method, turbulent echo signals without clutter interference can be acquired, and the detection height of an atmospheric wind field is effectively increased.

Description

Technical field: [0001] The invention relates to the technical field of signal processing and data analysis, in particular to a method for reconstructing the echo spectrum of a wind profile radar based on fuzzy logic recognition. Background technique: [0002] The wind profiler radar uses the clear sky atmosphere as the detection object, and uses the scattering of electromagnetic waves by atmospheric turbulence to detect the atmospheric wind field and turbulence. It has the advantages of unattended continuous operation and high spatial and temporal resolution; the echo signal contains a wealth of Turbulence information has obvious fluctuation characteristics, wide spectrum width and a variety of clutter, including ground clutter such as trees, intermittent clutter, radio frequency interference, etc. The turbulent echo signal is mixed in various In the clutter. This characteristic determines that radar signal processing is a process of extracting weak useful signals from various ...

AI Technical Summary

Problems solved by technology

The time-domain clutter signal processing adopts the DSP board to embed the filter bank, the processing speed is fast, it is convenient for the real-time processing of the radar, and it can better suppress the ground clutter, but it is powerless for the intermittent clutter, and it is easy to filter the details of the atmospheric echo signal. remove

The frequency-domain clutter suppression processing method considers the characteristics of clutter in the frequency domain, such as the symmetry of the echo spectrum near zero frequency. When the ground clutter spectrum is separated from the clear-air atmospheric echo, the clutter suppression effect is very good, but in both It is easy to eliminate part of the atmospheric spectrum near zero frequency when overlapping; A.D.Siggia and R.E.Passarelli proposed a Gaussian model adaptive processing clutter suppression method, which can avoid unnecessary elimination of atmospheric echo while suppressing clutter , but does not consider strong echo interference

The above methods are applicable to the existence of a single type of clutter with certain characteristics, but in the actual operation of radar, multiple interferences usually coexist. identification method

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