4 results about "Differential reflectivity" patented technology

The present application relates to radar signal processing technical field, specifically provide a kind of staggered pulse repetition interval time-frequency domain dual-polarized radar detection variable estimation method, comprising: in frequency domain, the estimation of echo signal-to-noise ratio, reflectivity factor, differential reflectivity of horizontal / vertical polarization based on power spectral density;And the estimation of average Doppler velocity and velocity spectrum width;In time domain, after ground clutter filtering based on odd-even pulse, respectively, odd-even pulse correlation parameter estimation is carried out, so that two detection variables of dual-polarized radar correlation coefficient and differential propagation phase shift of odd-even pulse are obtained respectively, then odd-even combination can obtain the estimation result of accurate correlation coefficient and differential propagation phase shift.The present application realizes the accurate estimation of dual-polarized radar multi-class detection variable, ensures that estimation result is not disturbed by ground clutter interference, simultaneously adapts single pulse repetition interval and staggered pulse repetition interval two working modes, improves the reliability and applicability of radar detection.

The application provides a ZDR arc automatic recognition random forest modeling method and system, relates to the meteorological radar data processing technical field, and includes the following steps: acquiring dual-polarization radar observation data, extracting a differential reflectivity field and a reflectivity field, determining an arc candidate area based on a spatial position relationship and extracting multi-dimensional feature parameters, calculating a mutual information matrix and a partial correlation coefficient matrix to screen feature pairs and perform tensor product operation to generate high-order interaction features, constructing a training sample set, initializing a basic random forest, and based on feature conditional entropy, reconstructing a sampling probability distribution to complete decision tree growth to obtain a basic classifier, extracting a decision tree discrimination path sequence, converting it into a topology graph, encoding it into a path embedding vector to train a meta-random forest classifier, inputting to-be-recognized data into the basic classifier and the meta-random forest classifier, and outputting a recognition result. The accuracy and automation degree of ZDR arc recognition are effectively improved.

The invention relates to the technical field of forest fire monitoring, and discloses a forest fire monitoring method based on a polarization radar, and the method comprises the steps: S10, obtaining the body scanning data of a monitoring point through the polarization radar, the body scanning data comprising polarization variables, and the polarization variables comprising a horizontal reflectivity, a differential reflectivity, a cross correlation coefficient and a radial speed standard deviation; s20, the polarization variables are preprocessed, the preprocessing comprises normalization and abnormal value cutting processing, and the polarization variables with effective pixel masks are constructed; s30, performing initial classification on the preprocessed polarization variables based on a fuzzy logic algorithm, performing confirmation by adopting multi-source cross validation, and generating forest fire segmentation labeling data of the monitoring points; s40, performing model training by using the mountain fire segmentation historical annotation data set to obtain a mountain fire monitoring model; and S50, inputting the mountain fire segmentation labeling data of the monitoring point into a mountain fire monitoring model to obtain mountain fire monitoring data.

The application provides an X-band weather radar double-channel multifunctional receiving assembly, and relates to the technical field of communication, which comprises: parallel receiving of horizontal and vertical polarization echo signals, twice frequency down-conversion by using first and second local oscillator signals, two digital intermediate frequency signals obtained through a digital intermediate frequency processing module; meanwhile, an up-conversion excitation signal is input into a transmitting chain; a function calibration module calibrates the noise coefficient of a receiving channel, calibrates the delay of a transmission path, and feeds a coupled sample of a transmitting signal into a receiving channel for power monitoring to determine a link gain compensation coefficient; the local oscillator signal and the digital intermediate frequency signal are led out to an external interface for monitoring the frequency source performance and amplitude and phase consistency; two signals are calibrated according to the compensation coefficient, differential reflectivity and differential phase are extracted, precipitation particle phase state structure is analyzed, strong convective weather core areas are determined and circled, and the automation level and early warning timeliness of the X-band weather radar in short-term early warning business are significantly improved.