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 provides an atmospheric temperature and humidity profile processing method and system with active and passive remote sensing combined. The system relates to the following steps that atmospheric microwave radiation brightness temperature data are detected and acquired through a microwave radiometer, cloud vertical structure data are detected and acquired through a cloud radar, and ground surface air temperature, humidity and air pressure data of a detecting area are detected and acquired through a ground surface meteorological element sensor; a data processor builds a three-layer feedforward BP neural network model for processing and training, and the BP neural network model with parameters optimized is obtained; the detected atmospheric microwave radiation brightness temperature data, the detected cloud vertical structure data and the detected ground surface air temperature, humidity and air pressure data are input into the BP neural network model by the data processor to serve as input layers, and the atmospheric temperature and humidity profile is obtained through processing and output of a BP neural network. Due to the atmospheric temperature and humidity profile processing method and system with active and passive remote sensing combined, the error for processing the atmospheric temperature and humidity profile in cloud weather is effectively reduced, and the accuracy and the effectiveness of the atmospheric profile are improved.

The invention relates to a data fusion method and system of a millimeter-wave cloud radar. The data fusion method comprises the following steps of building an observation platform of the millimeter-wave cloud radar, wherein the observation platform comprises a control module, a signal processing module, an information acquisition module, a main control module and a data fusion module; controlling the radar to carry out meteorological target detection according to a multi-mode working mode by the control module, obtaining detection data and transmitting the detection data to the signal processing module; carrying out signal processing on the detection data by the signal processing module and outputting; acquiring the signal-processed detection data output by the signal processing module by the information acquisition module, and carrying out package processing on the acquired detection data and storing the processed detection data into the main control module; and carrying out data fusion on the detection data stored in the main control module by the data fusion module and obtaining a fusion result. The data fusion method has the advantages that the observation to meteorological targets in the full-height detection range is realized, the data quality and the detection efficiency are improved and the adaptability of the cloud radar to different meteorological targets is enhanced.

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 discloses a method for calculating a dangerous point of a transmission line based on laser point cloud radar data, which comprises the following steps: collecting laser point cloud radardata and performing data preprocessing; automatic classification of the pre-processed point cloud data; the power line point cloud data being segmented according to the length of each segment by 1 meter, and the middle point of each segment being taken as the characteristic point; building Octree Index in Non-Power Line Point Cloud Data; setting a safety distance, the safety distance comprising ahorizontal distance, a vertical distance and a clearance distance; taking the characteristic points as the searching points, the nearest neighbors within the radius of the non-power line point clouddata being searched to find out the dangerous points. The invention solves the technical problems that the prior art calculates the dangerous point of a transmission line, collects data by a worker onthe spot, judges artificially by naked eyes or experience, and cannot accurately obtain the distance between the dangerous point and the transmission line, the operation efficiency is not high, the human cost is large, and the real-time property is not strong, etc.

The invention discloses a method and a system for detecting an atmospheric vertical movement speed based on two types of radars. The method comprises the following steps: step S1. detecting through a wind profile radar to obtain atmospheric vertical movement speed spectrum data, and detecting through a cloud radar to obtain rainfall particle vertical movement speed spectrum data; step S2. outputting the detected atmospheric vertical movement speed spectrum data and the rainfall particle vertical movement speed spectrum data to a data processor; step S3. locating a zone (Vr-Sigmaw, Vr+Sigmaw) or a zone (Vr-Sigmaw / 2, Vr+Sigmaw / 2) in an atmospheric vertical movement speed spectrum to be a detection shielding area by the data processor; and S4. detecting and processing a wind profile radar vertical speed spectrum by the data processor outside the detection shielding area to obtain the atmospheric vertical movement speed. By adopting the method and the system, the atmospheric vertical movement speed detected by the wind profile radar under the rainfall conditions is corrected, and thus the accuracy of detecting the atmospheric movement by the wind profile radar under the rainfall conditions is improved.

The invention relates to a real-time calibration system and method of millimeter wave cloud-detection radar. The real-time calibration method includes the steps that a synchronous control signal is generated, a calibration testing signal of a receiver is generated, calibration is performed on gains of receiver channels, a target detection driving signal is generated in the same cycle and transmitted to space, meanwhile, a transmitting power monitoring signal is generated, and transmitting power of a transmitter is calibrated; target detection echo signals are received; the calibration testing signal of the receiver, the transmitting power monitoring signal and the target echo signals are each processed, and therefore corresponding power spectrum data are obtained; the power spectrum data are processed, so that calibration data are obtained. In the actual detection process of the millimeter wave cloud-detection radar, the real-time calibration signal is added, and the power of the transmitter and the gains of the receiver receiving channels are measured and calibrated on line, so that the status parameters of a radar system are obtained in real time; the target echo intensity is calibrated in real time, in this way, the accuracy of measuring the detection data in a quantified mode is guaranteed, and real and reliable observational data are provided for meteorological observation.

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 relates to a cold cloud artificial precipitation enhancement work condition identification and work effect analysis method. The method comprises the steps that the horizontal range and the vertical layers of work clouds and the content of cloud radar echo parameter distribution are determined through samples; the work clouds are the clouds meeting the work indicators; the horizontal range of the work clouds can be determined by drawing a closed polygon; and the radar echo parameter distribution data of three different temperature layers are extracted in the determined range of the polygon, the macro effect change after the cold cloud artificial precipitation enhancement work is judged through continuous analysis of radar echo parameter distribution before and after the work, and the original work indicator system is further corrected through the result of effect analysis. The layering method determined by the method is convenient to operate and convenient for statistical test of the cold cloud artificial precipitation enhancement work effect; and analysis of the original radar echo parameter work indicators and the work cloud radar echo parameter change before and after the work is further refined, and the analysis result is more scientific.

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 invention discloses a millimetre-wave cloud radar system. The millimetre-wave cloud radar system comprises a digital signal processor, a frequency source, a transmitter, a first receiver, a secondreceiver and a circulator; the digital signal processor is respectively connected with the first receiver, the second receiver and the transmitter through the frequency source; the transmitter is connected with the input end of the circulator; the output end of the circulator is connected with the input end of the first receiver; and the output end of the first receiver and the output end of thesecond receiver are respectively connected with the digital signal processor. The millimetre-wave cloud radar system in the invention is a single-transmitting and double-receiving system, and has thecharacteristics of being small in volume and low in cost; the single-transmitting and double-receiving system has low channel isolation and balance requirement; the design and system adjusting and testing difficulty is low; and influence of parasitic channel interference on the system is reduced.

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 a Doppler power spectrum data fusion method and device for a cloud radar. The method comprises the steps of performing fuzzy correction on N groups of Doppler power spectrum data in N observation modes, performing unit conversion and data interpolation on the N groups of Doppler power spectrum data undergoing fuzzy correction, selecting, according to pre-stored quality control parameters, available Doppler power spectrum data in each observation mode from N groups of Doppler power spectrum data undergoing unit conversion and data interpolation, so as to obtain N groups of available Doppler power spectrum data, wherein quality control parameters comprise a maximum detection range, a minimum detecting range, a signal to noise ratio oversaturation threshold, a flexibility threshold and a speed error threshold; and determining data of each spectral point of the Doppler power spectrum from the N groups of available Doppler power spectrum data, so as to obtain fused Doppler power spectrum data. Multiple groups of Doppler power spectrum data obtained after cloud measurement in different observation modes can be fused.

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.

The invention discloses a Ka-frequency-band fixed-orientation dual-polarization all-solid-state millimeter-wave cloud radar. The millimeter-wave cloud radar comprises an all-solid-state transmitter (1), an antenna housing (5), an ortho-mode transducer (3), a dual-channel receiver (10) and the like. Output signals of the all-solid-state transmitter (1) reach an antenna (4) through a circulator (2) and the ortho-mode transducer (3) and are radiated towards the sky through the antenna housing (5); echo signals are processed by the dual-channel receiver (10), a digital receiver (11), a signal processor (12) and a display control computer (13) and provided for a far-end computer (15) through a communication system (14); a power distribution system (16) provides needed power; and test signals generated by a frequency synthesizer (9) pass through a power divider (6), a coupler A (7) and a coupler B (8) to be used for testing. According to the millimeter-wave cloud radar, a novel tool is provided for cloud observation, the size is small, the structure is simple, the reliability is high, and radar is applicable to long-time continuous observation to cloud.

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%.

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.