Airborne millimeter wave cloud detection radar ground clutter suppression method and device and radar

Abstract

The embodiment of the invention provides an airborne millimeter wave cloud detection radar ground clutter suppression method and device and an airborne millimeter wave cloud detection radar, and belongs to the technical field of radars. The method comprises the following steps: acquiring an echo signal of an airborne millimeter wave cloud detection radar and a corresponding distance-Doppler spectrum; acquiring a distance distribution area of ground clutters; estimating the Doppler frequency center of each distance gate in the ground clutter distance distribution area; according to the Dopplerfrequency center of each distance gate, estimating the frequency gate range of ground clutters in the distance gate in the distance Doppler spectrum of the echo signals; and eliminating ground clutters in the frequency gate range. The distance range of ground clutter under current condition is extracted, ground clutter Doppler center and width estimation are carried out on data in range, and datain ground clutter Doppler width range are removed. According to the method, the method is simple in principle, convenient to implement and capable of effectively improving meteorological target parameter estimation precision.

Description

technical field [0001] The present disclosure relates to the technical field of radar, in particular to a method and device for suppressing clutter of an airborne millimeter-wave cloud measuring radar, and the radar. Background technique [0002] When the airborne millimeter-wave radar is measuring clouds, the beam looking down will cause a lot of ground clutter, and the existence of ground clutter will affect the estimation of meteorological target parameters such as reflectivity factor, velocity and spectral width. Therefore, in order to obtain accurate meteorological target For parameter estimation, ground clutter suppression is required for radar echo data. [0003] Generally speaking, due to its waveform characteristics, conventional X-band airborne weather radars often suppress ground clutter in the time domain. This method is weak in detecting targets with low echo signal-to-noise ratio. When waves appear at the same distance, weather echoes are often suppressed as g...

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Problems solved by technology

[0003] Generally speaking, due to its waveform characteristics, conventional X-band airborne weather radars often suppress ground clutter in the time domain. This method is weak in detecting targets with low echo signal-to-noise ratio. When waves appear at the same distance, the weather echo is often suppressed as ground clutter or the ground clutter is displayed as weather echo, which will cause display deviation

There are also many frequency domain filtering methods, such as GMAP, STAP, etc. The GMAP method assumes that the power spectrum type of the ground clutter is Gaussian, and the number of filtered clutter points is calculated by using the spectrum type. In practical applications, due to the influence of various factors, there will be As a result, the ground clutter spectrum is quite different from the theoretical Gaussian type. Using this method will easily cause clutter residues. At the same time, under the condition that the meteorological power spectrum and the clutter spectrum are mixed, the information of the meteorological echo spectrum will be lost; STAP technology can effectively improve The ability to detect slow-moving targets, but for meteorological targets, the characteristics of the meteorological echo spectrum and the ground clutter spectrum are similar, and the meteorological echo may be suppressed as ground clutter, resulting in the loss of meteorological information and high computational complexity. High difficulty

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