71 results about "Cloud radar" patented technology

The invention discloses a multiresolution CNN-based millimeter-wave radar cloud map segmentation method, and belongs to the field of image segmentation. The method comprises the following steps of: obtaining a high-temporal-spatial resolution cloud evolution map of a horizontal/vertical structure by utilizing millimeter wave cloud radar, wherein the information of a context of the cloud map is fully utilized; learning local and global features of the cloud map through respectively inputting three image areas with different resolutions into three CNN networks configured with same parameters; classifying the learned features into cloud features and non-cloud features through classifiers of the neural networks, so as to realize the segmentation of the cloud map; and finally combining the segmentation results of the three networks so as to ensure that the segmentation correctness of the cloud map is up to 99.67%.

The invention discloses a method for processing a millimeter wave cloud radar signal. Under a boundary layer mode, a cirrus cloud mode and a rainfall mode, the millimeter wave cloud radar echo signal is acquired by a data acquiring module; a data preprocessing module is used for preprocessing data of the millimeter wave cloud radar echo signal and outputting power spectral density distribution data; a data processing module is used for processing the power spectral density distribution data and outputting base data; a data synthesizing module is used for synthesizing the base data under three detection modes and outputting final base data; and the millimeter wave cloud radar signal is processed. According to the method, the problem of insufficient detection power caused by low millimeter wave cloud radar emission peak value power of an all-solid or travelling wave mechanism can be effectively solved, the radar detection power is improved, and the method is especially suitable for fixing a vertical millimeter wave cloud radar.

The invention discloses an inversion method for microphysical parameters of liquid cloud. The inversion method mainly includes the following process: according to radar reflectivity factors provided by a millimeter waves cloud radar, based on the optimal estimation theory, adopting an empirical formula calculation value as a prior value, assuming that particle spectrum submits to logarithmic normal distribution, a function relationship of radar reflectivity factors and liquid cloud physical parameters is established, and the inversion optimal solution is obtained in a condition when the difference value weighing of to-be-inverted parameters, the prior value, the radar reflectivity factors and function calculation value achieves the minimum value. Besides, according to an error transmission theory, uncertainty of liquid cloud microphysical parameters is calculated. The invention can make up a shortcoming of poor adaptability of a traditional empirical formula. Also, besides, common cloud particle diameter and cloud water content, particle concentration and distribution width can also be obtained; the inversion result is more comprehensive. Since the radar reflectivity factor in real time monitoring is adopted for prior value calculation, the inversion result accuracy is improved.

The invention provides a terahertz cloud radar signal processing method and system. The method includes that a data acquisition module acquires the terahertz wave cloud radar echo signal; the data preprocessing module preprocesses the terahertz cloud radar echo signal; the data processing module performs power spectrum estimation and spectral averaging on the preprocessed signal; and attenuation correction and parameter estimation are carried out. By means of the combination of the time-domain accumulation and high-performance window pulse compression with two-dimensional FFT transformation, the large bandwidth and high resolution functions of the pulse compression system can be effectively played, and the clutter can be efficiently suppressed. A Liebe atmosphere model is adopted to observe the weather status and the terahertz attenuation characteristics according to a terahertz radar, and the echo power estimation at the signal processing part can be effectively corrected. Therefore, the chirp signal characteristic can be fully utilized, the low emission peak power terahertz wave cloud radar detection capability is improved, the clutter impact is influenced, and the problem that the atmosphere is inaccurate in the echo power estimation caused by the terahertz waveband attenuation can be eliminated.

The invention discloses a ground-based terahertz cloud detection radar system and a detection method thereof. A linear frequency modulation signal generation module generates linear frequency modulation signals with an adjustable pulse width; a frequency synthesizer module generates transmitting excitation signals and receiving excitation signals; a terahertz transmitting module generates terahertz transmitting signals; a terahertz receiving module converts terahertz echo signals to intermediate frequency signals; an intermediate frequency signal receiving and processing module generates baseband signals; a signal processing module carries out signal processing on the baseband signals; and an upper computer completes cloud observation data inversion processing on a signal processing result of the signal processing module. A linear frequency modulation working system and an adjustable pulse width are adopted, a high distance resolution can be acquired, requirements on the system transmitting power can be reduced, cloud observation from a ground near distance to a far distance can be met, radar reflectivity factor information with high cloud profile resolution can be provided, cloud space-time and cloud weather macro and micro information of an observation area can be acquired further, and the system and the method can also be used for detection of tiny particles such as haze in the environment.

The invention relates to a full-solid millimeter wave cloud radar calibration probe system and method. The full-solid millimeter wave cloud radar calibration probe system comprises a control module generating control signals, a signal generation module, a millimeter wave receiving module, a full-solid emitter, an antenna feeder sub-system, a signal processing sub-system and a master control module, wherein the signal generation module generates one test signal and two emitting excitation signals according to the control signals within the same period in a set time sequence, the millimeter wave receiving module carries out amplification and down-conversion processing on received test signals and target probe echo signals, the full-solid emitter generates probe signals according to the two emitting excitation signals, the antenna feeder sub-system is used for radiating the probe signals to the space and the target probe echo signals, the signal processing sub-system is used for processing the test signals and the target probe echo signals, and the maser control module is used for displaying and recording a received signal processing result. The full-solid millimeter wave cloud radar calibration probe system generates the test signals and emitting probe excitation signals within the same period and realizes real-time on-line calibration of a receiver. Two emitting excitation pulses work alternatively, the power of radar probe is improved, and meanwhile low-altitude blind area coverage is realized.

The invention relates to a cloud radar and satellite detection data fusion method and a cloud radar and satellite detection data fusion system. The cloud radar and satellite detection data fusion method is characterized in that cloud top heights, cloud bottom heights, and average reflectivity factors detected by a millimeter-wave cloud radar can be achieved, and the satellite cloud picture brightness temperature data corresponding to the overhead part of the millimeter-wave cloud radar can be achieved; the cloud top heights, the cloud bottom heights, and the average reflectivity factors corresponding to the brightness temperature values of the area covered by the satellite cloud picture can be output in a real-time manner by the processing of the trained neural network of the satellite brightness temperatures, and the cloud top heights, the cloud bottom heights, and the average reflectivity factors detected by the millimeter-wave cloud radar. The horizontal distribution chart of the cloud top heights, the cloud bottom heights, and the average reflectivity factors of the area covered by the satellite cloud picture can be achieved, and then the new cloud information can be provided for the weather forecast analysis, the mathematical forecast, and the atmosphere scientific research.

The invention belongs to the technical field of electronic and scientific application, and discloses a large-volume chaff cloud electromagnetic scattering measurement method based on a partition vector transport theory. The large-volume chaff cloud electromagnetic scattering measurement method includes the steps: calculating the distribution of chaff clouds in wake flow in combination with an aerodynamic theory; based on the chaff cloud space distribution model, using a K-means algorithm to carry out rapid partitioning processing on the chaff cloud space distribution model, and using a linearmoment method to calculate an electromagnetic propagation attenuation coefficient in each subarea; based on the partition data and the obtained intra-area propagation attenuation coefficient, establishing a vector transport equation in the whole space area occupied by the chaff cloud, solving the vector transport equation by using a Monte Carlo method, and solving a statistical solution of the vector transport equation by using the emitting, transporting, colliding, tracking and receiving processes of the virtual photons; and based on a solving result of the vector transport equation, obtaining scattering HH, HV, VV and VH polarization modes through Stokes vector transformation processing. According to the large-volume chaff cloud electromagnetic scattering measurement method the problem of low calculation efficiency of the scattering cross section of the large-volume chaff cloud radar in the prior art is solved, and meanwhile, the problem of calculation of the scattering cross sectionof the chaff cloud radar in the aircraft wake flow is effectively solved.

The invention provides a method and a device for extracting a vertical beam turbulence spectrum of a wind profile line radar during precipitation. The method comprises the following steps: obtaining first power spectral data collected by the wind profile radar and second power spectral data collected by a vertically directed millimeter wave cloud radar adjacent to the wind profile radar under a condition of uniform precipitation and layered cloud precipitation; correcting fourth power spectrum data according to attenuation rule information to generate corrected eighth power spectrum data; andextracting turbulence spectrum information generated by a tropospheric wind profile radar under the precipitation condition according to the eighth power spectral data and the third power spectral data. According to the method and the device for extracting the vertical beam turbulence spectrum of the wind profile line radar during precipitation, the inaccuracy caused by a large difference betweenthe power spectrum and the Gaussian distribution is avoided by using two radars to analyze detection data at similar places and nearly the same time; and the problem of obtaining air vertical motion information under a condition of stratified cloud precipitation with less and uniformity precipitation intensity and long duration is solved.

The invention discloses a device for measuring transmitting power of a millimeter wave cloud radar in real time. The device for measuring the transmitting power of the millimeter wave cloud radar in real time comprises a coupler A (2), a coupler B (3), a first frequency mixer (4), an amplifier A (5), a second frequency mixer (6), an amplifier B (7) and a filter (8), wherein the coupler A (2) carries out coupling to form a signal of a transmitter (1), the signal passes through the coupler B (3), and is processed through twice down-conversion of the first frequency mixer (4) and the second frequency mixer (6), twice amplification of the amplifier A (5) and the amplifier B (7), and filtration of the filter (8), and an intermediate frequency signal is output; the intermediate frequency signal is further processed through a digital receiver (9), a signal processor (10) and a display control terminal (11); a test signal generated by a frequency synthesizer (12) enters the coupler B (3) to obtain the gain from the coupler B (3) to the signal processor (10). The device for measuring the transmitting power of the millimeter wave cloud radar in real time has the advantages of being low in cost and high in measuring accuracy.

The invention discloses an atmospheric boundary layer height detection method under the non-precipitation condition through the wind profile radar. The method comprises the steps that a cloud identification classifier is obtained by using the support vector machine technology based on multiple sets of space-time matched wind profile radar detection data and millimeter wave cloud radar detection data; the optimal wavelet base is selected; the optimal scale factor is calculated by using the least square method based on multiple sets of space-time matched wind profile radar detection data and airsounding data, and fitting of the function relationship between the optimal scale factor and the signal-to-noise ratio SNR data of the wind profile radar detection data is performed so that scale factor adaptation of the actual wind profile radar detection data in case of wavelet transform can be realized; and cloud or no-cloud identification is performed on the non-unique signal-to-noise ratio mutation point height obtained by wavelet transform by using the cloud identification classifier, and the height corresponding to the signal-to-noise ratio mutation point of which the identification result is no cloud acts as the atmospheric boundary layer height. The inversion method of the wind profile radar in case of atmospheric boundary layer height detection can be optimized, and the detection accuracy can be enhanced by application of the support vector machine so that misjudgment can be greatly reduced.

The invention discloses a terahertz and millimeter wave cloud radar data joint inversion method. The method comprises the following steps of: establishing a relationship among terahertz radar reflectivity factors, a millimeter wave radar reflectivity factors and cloud attenuation; establishing a relationship between the radar reflectivity factors of a terahertz frequency band and a millimeter wavefrequency band and cloud physical parameters, establishing a probability formula based on a Bayesian theory, iteratively operating the cloud physical parameters, and taking an error between a physical model value and an observed value as a criterion of iterative convergence to obtain an optimal solution; and iteratively calculating the backscattering cross section and attenuation cross section ofcloud particles according to the cloud physical parameters obtained by inversion, updating the function relationship between the radar reflectivity factors and the cloud attenuation to obtain a new inversion value, and taking the change of the cloud attenuation coefficient in iterative operation as a convergence condition to obtain a dual optimal solution of the cloud physical parameters. Data support is provided for climate prediction, weather forecast and atmospheric science research, and effective application of terahertz cloud radar and millimeter wave cloud radar in a meteorological observation system is promoted.

The present invention discloses a test method of an influence mechanism of the city underlying surface aerosol to a thunder and lightning process. The method comprises the steps of utilizing the weather and cloud radars to monitor the severe convection weather, observing the particulate matter distribution characteristic by an atmosphere particulate matter particle size spectrometer and a laser radar, at the same time, utilizing a thunder and lightning positioning system to observe a thunder and lightning process during a weather process; establishing a concept model of the interaction of the aerosol-cloud condensation nuclei and the ice nucleus-thunder and lightning process by the relationship between the city and upstream and downstream area aerosol distribution and the thunder and lightning activity characteristic parameters; utilizing an improved three dimensional convective cloud catalysis electric coupling mode to carry out the numerical value simulation on the mechanism that the aerosol in a city underlying surface severe convection weather influences the thunder and lightning process. According to the present invention, by improving the three dimensional convective cloud catalysis electric coupling mode, and carrying out the numerical value simulation on the established concept model, the influence mechanism of the city underlying surface aerosol to the thunder and lightning activity is disclosed.

The invention relates to a method and a device for recognizing supercooled water. The method comprises steps: a membership function is built, and multiple measurement parameters in need of measurement are determined; the multiple measurement parameters are measured respectively through a millimeter-wave cloud radar, and multiple measurement values are obtained; the multiple measurement values serve as input parameters for the membership function respectively, multiple memberships are calculated and obtained, the phase state of a cloud particle is determined according to the multiple memberships, and the phase state membership in each phase state is calculated and obtained; the sizes of obtained phase state memberships in all phase states are compared, and a judgment result is obtained; and the judgment result is processed according to the supercooled water definition, and a supercooled water recognition result is obtained. According to the method and the device for recognizing the supercooled water, the recognition process is simple, convenient and easy to realize and is not limited by an observation condition, the recognition speed is quick, and the practicability is strong.

The invention discloses a method and a device for detecting supercooled water by using a millimeter wave cloud radar and an application. The method comprises the following steps: acquiring a millimeter wave cloud radar power spectrum of a detection area; extracting effective cloud and rain signals from the power spectrum, and acquiring radar parameters and power parameters corresponding to the effective cloud and rain signals; identifying and/or extracting supercooled water signals on the basis of spectrogram features of the power spectrum and the obtained radar parameters; and based on the radar parameters, the dynamic parameters and the supercooled water signals, acquiring micro-physical parameters of the supercooled water through inversion calculation. According to the invention, supercooled water detection can be carried out by using the millimeter wave cloud radar, automatic identification and quantitative inversion are carried out on supercooled water in the cloud, and fine supercooled water spatial distribution and key physical parameters are obtained.

The invention discloses an all-airspace multi-directional scanning mode-based cloud radar echo three-dimensional display method. The all-airspace multi-directional scanning mode-based cloud radar echothree-dimensional display method comprises the steps of performing quality control processing on echo data of each direction; building a three-dimensional coordinate system, and taking a cloud radarstation as an origin point of the three-dimensional coordinate system, wherein X axis expresses a distance in an east-west direction, Y axis expresses a distance in a north-south direction, and Z axisexpresses height; fabricating a two-dimensional echo image in each direction in the three-dimensional coordinate system; performing texture mapping on a front surface and a back surface of the two-dimension echo image in each direction; and displaying on a three-dimensional display platform. By the all-airspace multi-directional scanning mode-based cloud radar echo three-dimensional display method, the cloud generation and development process can be comprehensively observed from multiple directions and at multiple angles, a user is convenient to intuitively and clearly observe influence of terrain, cloud mass and air field on cloud, and an effective support is provided for research of a rainfall cloud system structure and research of a rainfall formation mechanism.

The invention discloses a method for identifying clouds of a cloud detection radar. The method comprises the following steps of establishing a cloud physical quantity learning library for autonomous learning, and a matching rule that cloud characteristic parameters belong to a certain class of cloud; establishing a fuzzy logic function that each cloud characteristic parameter belongs to each typeof cloud and a corresponding fuzzy logic function parameter; setting an influence weight, calculating the probability that different cloud characteristic parameters belong to a certain type of cloud by adopting a weighted normalization method, and obtaining a calculation result of cloud type identification according to the matching rule; calculating an error of a cloud class identification result,and optimizing the fuzzy logic function parameter and the influence weight by utilizing the partial derivative loop iterative operation; and for the new cloud measurement radar observation information, calculating the cloud class identification result, and updating the cloud physical learning library to realize the cyclic autonomous learning and updating of the fuzzy logic function parameter andthe influence weight. The method overcomes the defect that a threshold method is prone to misjudgment, solves the problem of parameter acquisition of fuzzy logic, and has the adaptive learning optimization capability.

The invention provides an antenna common-caliber miniaturized microwave laser composite detection radar, which comprises a microwave laser common-caliber antenna subsystem, a microwave radar subsystem, a laser radar subsystem and a system management and signal processing subsystem; software and hardware compounding and joint inversion are carried out through a W-band all-solid-state frequency modulation continuous wave cloud radar and a multi-wavelength Raman polarization laser radar to realize remote sensing detection of cloud and aerosol fine structures, echo signals of laser and microwavesbackscattered by the cloud and aerosol are received by a microwave and laser composite detection radar common-caliber antenna, and microwave echo and laser echo are separated through a space separation technology; detection processing of microwave echo signals and laser echo signals is achieved through a microwave detection channel and an optical detection channel respectively; and through microwave radar and laser radar system control and data inversion software running in a display and control computer, the functions of microwave laser composite radar control, state monitoring, echo signal and data processing and product display are achieved.

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.

A method for identifying a sand and dust cloud mixture comprises the following steps: measuring the particle size of a solid or liquid particle suspended in a gas medium of a corresponding cloud according to an aerosol measuring instrument, and measuring the mass concentrations of particles under different particle sizes; dividing the corresponding clouds into the following types according to the mass concentration of the particles: clear sky, non-sand dust, clouds/rain, sand dust and a sand dust cloud mixture; acquiring a laser radar parameter range and a cloud radar parameter range of a corresponding cloud in a preset area at the same time and in the same space; identifying clear sky, non-sand dust, cloud/rain, sand dust and sand dust cloud mixtures based on the particle mass concentration, the lidar parameter range and the cloud radar parameter range. According to the method, the sand-dust-cloud mixture is accurately identified by utilizing the cooperation of the standard backscattering coefficient of the laser radar, the depolarization ratio of the laser radar and the equivalent reflectivity of the cloud radar, so that the sand-dust is proved to participate in activation as an ice nucleus, and a technical support is provided for deeply researching the interaction between the cloud and the sand-dust and a sand-dust cloud rainfall mechanism.