20 results about "Microwave radiometer" patented technology

The present application relates to a kind of sea ice surface snow depth combined estimation method, based on the characteristics that microwave radiometer brightness temperature decreases with the increase of sea ice surface snow depth, FY brightness temperature data is used to calculate the brightness temperature of open water at different frequencies, then the brightness temperature of sea ice surface of 10 sub-channels and 20 polarization gradient rate characteristics are calculated using open water brightness temperature and FY brightness temperature data.The OIB airborne data is gridded, and the daily average OIB snow depth of 12.5 km resolution is obtained.The correlation between 30 brightness temperature characteristics and OIB snow depth is calculated, and the linear regression model and machine learning model of one-year ice and multi-year ice surface snow depth estimation are established by selecting 5 sub-features with high correlation, thereby developing the combined estimation model of snow depth.The above is the sea ice surface snow depth combined estimation method proposed by the present application, which improves the estimation accuracy of polar sea ice surface snow depth.

The present application belongs to the technical field of marine remote sensing, and particularly relates to a kind of full wind speed inversion methods based on spaceborne microwave active and passive combination physical statistics network, comprising the following steps: obtaining the brightness temperature data and backscattering coefficient of microwave radiometer and scatterometer, and performing data quality control;Construct sample data set;Load physical statistics constraint deep learning inversion algorithm model for training;Physical statistics constraint deep learning inversion algorithm model includes: input layer, network layer, physical layer, output layer;Network layer is composed of residual neural network, and physical layer is composed of Log formula of microwave radiometer and Log formula of microwave scatterometer to form microwave statistical matrix P matrix, which is a nonlinear matrix, and provides physical statistics constraint for the whole model;Output the wind speed of current full sea area.The present application effectively solves the problem of lack of physical support in the process of deep learning in marine parameter inversion, and provides high-quality and reliable wind speed products suitable for full wind speed range.

This invention discloses a microwave-laser composite detection method and system based on spatiotemporal matching of heterogeneous data, specifically relating to the field of microwave and laser atmospheric remote sensing radar data fusion technology. It addresses the problem of insufficient physical consistency in data fusion caused by existing composite detection methods neglecting the intrinsic differences in the observation processes of the two devices. First, observation data from both devices are acquired, and their corresponding spatiotemporal representation ranges are determined. Then, the overlapping region of the spatiotemporal representation ranges is calculated, and the potential interference of the laser radar scanning process on the microwave radiometer observations is analyzed within this region to obtain interference assessment results. Next, the data fusion reliability is evaluated by combining the spatiotemporal coverage relationship and the interference assessment results. Finally, based on this reliability, strategies such as joint inversion, weighted averaging, or independent output are adaptively selected to fuse the two types of observation data, thereby achieving physically consistent and reliable composite detection.

This invention discloses a method for enhancing the brightness temperature resolution of a microwave radiometer, along with related devices, equipment, and storage media. It relates to the field of spaceborne microwave radiometer technology and aims to solve the problems of insufficient brightness temperature resolution, sidelobe-induced reconstruction distortion, and the difficulty in balancing resolution and stability in spaceborne real-aperture microwave radiometers. The method includes: acquiring relevant data; constructing a convex optimization model with sidelobe suppression constraints and solving for initial weights; iterating with the initial weights, adaptively updating until a termination condition is met, and outputting the optimal weights; using the optimal weights to reconstruct the original brightness temperature data, outputting a result with enhanced resolution and no obvious oscillation artifacts. This invention requires no hardware modification, balances sidelobe suppression and resolution through algorithmic optimization, takes into account both accuracy and stability, adapts to the real-time requirements of spaceborne systems, provides support for meteorological and oceanographic monitoring, and discloses corresponding devices, equipment, and storage media.

This application provides a method and system for correcting the brightness temperature of a spaceborne one-dimensional integrated aperture microwave radiometer. The method includes: acquiring two-dimensional observed brightness temperature data O along the vertical satellite orbit and along the satellite orbit for different ascent and descent orbits of the microwave radiometer; acquiring external data such as atmospheric profiles, surface data, and sea surface salinity along the radiation transmission path to obtain simulated Earth radiation brightness temperature data B, and removing outlier data; subtracting the observed brightness temperature data from the simulated brightness temperature data to obtain O-B data for multiple single orbits, and removing outlier data; taking the median of the O-B data to obtain the average difference in O-B brightness temperature and the two-dimensional corrected brightness temperature; dividing the average difference in O-B brightness temperature by the observed brightness temperatures in the corresponding two vertical directions to obtain two-dimensional relative brightness temperature correction coefficients based on different ascent and descent orbits; and correcting the observed brightness temperature using the two-dimensional relative brightness temperature correction coefficients or the two-dimensional corrected brightness temperature. The advantage of this application is that the established two-dimensional correction coefficients have a better correction effect.

This invention relates to the field of meteorological data processing technology, specifically to a dynamic weighted fusion processing method for mobile meteorological multi-source detection data. The method includes: constructing a two-factor correction model to accurately correct the radial reflectivity factor using attitude influence coefficients and pulse width correction coefficients, effectively offsetting systematic errors caused by the platform's dynamic characteristics; simultaneously, segmenting the data based on cloud water density distribution and correcting the ground-based microwave radiometer data by combining the contribution values ​​of each segment to brightness temperature observations, solving the observation bias problem caused by uneven cloud structure, and providing high-quality preprocessed data for subsequent fusion; and dynamically calculating confidence weights by quantifying the adaptability errors and dynamic reliability factors of various data sources, enabling the data fusion weights to be adjusted in real time according to the quality of the detection data, thereby improving the accuracy and reliability of multi-source data fusion.

The application belongs to the technical field of processing of satellite-borne microwave radiometer remote sensing brightness temperature, and discloses a deep learning satellite-borne microwave radiometer remote sensing brightness temperature super-resolution reconstruction method, which comprises the following steps: constructing a microwave brightness temperature super-resolution data set; constructing a microwave brightness temperature super-resolution model MW-SRUNet; the encoder part performs up-sampling on the original brightness temperature through deconvolution, extracts the earth surface feature brightness temperature information through convolution and pooling, and generates a feature matrix; the decoder part restores the brightness temperature to the size of the original brightness temperature through multiple deconvolutions; a self-defined loss function is used for training the model in the area where the earth surface brightness temperature changes sharply, the influence of abnormal values on the model training is reduced, a self-defined evaluation function is used for evaluating the model training process, and the super-resolution performance of the model is intuitively understood; and the output of the model is the reconstructed high-resolution microwave brightness temperature. The application solves the problem of low microwave brightness temperature resolution, and realizes 4 times super-resolution reconstruction of the microwave brightness temperature.

The invention discloses a snowfall inversion method based on a millimeter wave cloud radar and a microwave radiometer, and relates to the technical field of radar snowfall inversion, and the method comprises the following steps: S1, data input: millimeter wave cloud radar data and microwave radiometer data are input; s2, multi-source equipment data space-time dimension matching is carried out; s3, phase state classification of extremely cold particles, and elimination of non-snowfall phase state interference; s4, inverting the snowfall rates of different height layers; s5, the accumulated snowfall of the whole-layer snowfall rate is obtained through time integration; and S6, outputting a result. According to the invention, the complementary advantages of high temporal-spatial resolution of the millimeter wave cloud radar and abundant atmospheric environment parameters of the microwave radiometer are brought into full play, the inherent defect of single equipment inversion is solved, and the precision and reliability of snowfall inversion in the extremely cold environment are greatly improved; and a data support is provided for practical applications such as meteorological monitoring and early warning in extremely cold areas, and prevention and reduction of snowstorm disasters.

The application discloses a microwave radiometer indoor calibration method and equipment based on multi-parameter environment simulation, relates to the related technical field of microwave equipment calibration, and comprises the following steps: a controllable atmospheric environment is constructed according to a full electromagnetic wave shielding cylindrical cabin; a microwave signal is transmitted to an environment simulation cabin section through a KV wave band standard signal transmitter in a transmitting end cabin section; a microwave radiometer to be calibrated is pushed into a receiving end cabin section to perform penetration calibration test; an environment-signal coupling response function is established; an analytical correction formula under different environment conditions is used; and an anti-type training correction generation component is arranged in a calibration memory. The application solves the technical problems that in the prior art, a plurality of controllable atmospheric environment parameters cannot be simulated synchronously under laboratory conditions, it is difficult to accurately separate the environment coupling effect and the self response, and the calibration result is deviated from the real running environment, and the technical effects that the measurement precision, the calibration reliability and the environment adaptability of the microwave radiometer under a complex atmospheric environment are improved are achieved.

The application discloses a conical temperature equalizing device for a microwave radiometer calibration source, which comprises a liquid distribution cold plate, a liquid distributor, a conical temperature equalizing structure, a heating rod, an electromagnetic valve, a single-cone mounting plate, a temperature sensor, a temperature controller, a Dewar tube and a Dewar bottle. The application transmits the temperature field generated by the liquid distribution cold plate and smoothed by the conical temperature equalizing structure to the single-cone mounting plate; meanwhile, the conical temperature equalizing structure with controllable temperature is used to optimize and adjust the physical temperature field of the radiator, so that the single fixed and heavy temperature control structure of the current microwave radiometer calibration source is solved, the weight of the microwave radiometer calibration source is reduced under the premise that the physical temperature of the microwave radiometer calibration source is continuously adjustable from liquid nitrogen to a high-temperature zone, the temperature control structure is suitable for multiple temperature control structures, and the conical temperature equalizing device can provide temperature equalization for a large-diameter microwave radiometer calibration source.

This invention relates to the technical field of passive microwave remote sensing of the atmosphere, and in particular to a method for passively inverting atmospheric wind fields based on regional network observations of microwave radiometers. The method includes: acquiring historical brightness temperature data and corresponding wind field reference data at the same time scale from multiple spatially distributed ground-based microwave radiometer stations within the same region; constructing a sample dataset after time matching, removing rainfall samples, and preprocessing; using a machine learning model, combining multi-channel brightness temperature data from multiple stations in a preset order as input features, and using wind field reference data as output, training to establish a mapping relationship between spatial differences in brightness temperature and atmospheric wind fields, thus obtaining a wind field inversion model; finally, inputting real-time observed brightness temperature data from multiple stations into the model to invert and obtain the regional atmospheric wind field profile data at the current time; realizing passive inversion of atmospheric wind fields based on microwave radiometer network observations, suitable for real-time monitoring of regional wind fields and meteorological operational applications.

The application discloses a kind of high-frequency microwave radiometer optical systems and its design method, belong to microwave remote sensing technical field.The system includes by servo motor driven main rotating parabolic mirror, two fixed parabolic mirrors respectively fixed at cold load and hot load interface, and cone wave corrugated horn antenna placed at the focal point of main mirror;Main rotating parabolic mirror can be scanned from 0 to 180 °, receive atmospheric radiation signal and the calibration parallel signal reflected by fixed mirror, converge to antenna.The application also provides a kind of general design method, through parallel selection, far-field integration method accurately calibrates antenna phase center, and ensure that it coincides with the focal point of main mirror.The application adopts combined parabolic mirror structure to realize the efficient coupling of multiple signal sources, has wide-range beam scanning capability, and replaces artificial experience alignment through systematic phase center calibration, significantly improves signal coupling efficiency and transmission stability, suitable for high-frequency radiometer development.

The invention belongs to the technical field of laser radar measurement, and particularly relates to an atmospheric particulate concentration monitoring method and system based on a laser radar, and the method comprises the steps: obtaining an original back scattering echo signal, atmospheric relative humidity data and atmospheric temperature data through a Mie scattering laser radar and a microwave radiometer, and obtaining distance correction echo power; obtaining a thermodynamic deviation index based on the absolute temperature gradient and the corrected relative humidity; converting the thermodynamic deviation index into a dynamic radar ratio by combining an algebraic fraction asymptotic structure with a reference radar ratio; and performing discrete iterative integral operation downwards layer by layer by using the dynamic radar ratio and the distance correction echo power to obtain a corrected extinction coefficient, and reconstructing the thermodynamic deviation index into an adaptive attenuation penalty interception net by using a linear quotient value of the dynamic radar ratio and the reference radar ratio to obtain the final mass concentration. According to the method, the concentration false alarm phenomenon under the high-humidity meteorological condition is eliminated, and efficient anti-interference purification of the real mass concentration is realized.

This application relates to the field of microwave radiation reference technology, and particularly to a method and system for selecting uniform and stable scenes for spaceborne microwave radiation reference transfer. The method includes: based on brightness temperature observation data from a reference spaceborne microwave radiometer, performing spatial projection, temporal grouping, and atmospheric condition screening on candidate surface scenes; selecting a surface scene from the screened candidate surface scenes that meets preset conditions as the target surface scene for spaceborne microwave radiation reference transfer; wherein, the preset conditions characterize the spatial uniformity and temporal stability of the brightness temperature. The method and system for selecting uniform and stable scenes for spaceborne microwave radiation reference transfer provided by this invention can more clearly screen the reference scenes used for transfer, ensuring that the transferred scenes have spatial uniformity and temporal stability.

This invention discloses a microwave radiometer radiofrequency interference suppression method based on a combination of the data domain and brightness temperature domain. It primarily addresses the problem of degraded imaging performance caused by abnormal brightness temperature points during suppression in the original visibility data domain in existing technologies. The implementation scheme is as follows: Visibility data is obtained through complex correlation, and an optimized weight vector is calculated based on a selected optimization model; the visibility data and the optimized weight vector are weighted and summed to obtain a brightness temperature estimation image after one suppression step; peak points are found in the brightness temperature estimation image, and their status as brightness temperature anomalies is determined by an image threshold. If a peak point is found, its brightness temperature is suppressed until it falls below the brightness temperature anomaly threshold, and the brightness temperature estimation image is updated; this process of finding peak points is repeated until the entire brightness temperature estimation image falls below the image threshold, thus completing the suppression of microwave radiofrequency interference. This invention eliminates abnormal brightness temperature points near null regions, improves imaging quality, and can be used for integrated aperture passive microwave radiation measurements.

A microwave radiometer sensor that reduces observational noise and enables observations in the presence of interference is disclosed. Microwave radiometers provide very valuable environmental observations from space. Their observations, however, are threatened by anthropogenic signals, radio frequency interference (RFI), that are emitted by communication systems, automobile and various other radars, and other emitting sources. This invention describes a method of RFI detection that is simple, can be highly integrated into a compact, low weight, and minimal power consuming technology. The solution is economical, provides increased observational sensitivity, and makes environmental observations more sensitive and more reliable even in the presence of a certain level of interference.

This invention provides a method for monitoring aircraft icing risk based on microwave radiometer and cloud radar data, relating to the field of aviation safety monitoring. The method includes: using microwave radiometer data and millimeter-wave cloud radar data from grid points within a target flight area, calculating the probability of multiple refined particle phase types corresponding to each grid point using a fuzzy logic algorithm; then, determining the target cloud phase at each grid point based on the probability from the multiple refined particle phase types; identifying the category of the target cloud phase; calculating the particle radius and cloud water content according to the category; combining the determined piecewise temperature function value, piecewise particle radius function value, piecewise cloud water content function value, and a constructed icing intensity matrix to obtain the icing risk intensity (ICE) value; and outputting the aircraft icing risk monitoring results for each grid point based on the icing intensity indicated by the target cloud phase or the ICE value. This invention can effectively improve the accuracy and resolution of icing monitoring and identification.

The utility model provides a kind of microwave radiometer heat dissipation system, comprising: shell, inside formation has accommodating chamber, the opposite side wall of shell is provided with air inlet and air outlet;Fan assembly, including air inlet fan and air outlet fan, air inlet fan is arranged in air inlet, air outlet fan is arranged in air outlet;And heat dissipation tooth component, including first heat dissipation tooth and second heat dissipation tooth, first heat dissipation tooth and the first refrigerating fin of V wave band receiver contact fixed, second heat dissipation tooth and the second refrigerating fin of K wave band receiver contact fixed, first heat dissipation tooth and second heat dissipation tooth are oppositely arranged in accommodating chamber with interval, form through heat dissipation channel, air enters heat dissipation channel from air inlet to the air outlet exhaust. Through symmetrical air inlet fan and air outlet fan, and the collaborative layout of bidirectional opposed heat dissipation tooth, heat dissipation tooth gathered heat is linearly exported via intermediate heat dissipation channel, solve the problem of refrigerating fin hot end heat accumulation.

The application discloses a correction method, device and equipment of a Dick switch type ozone microwave radiometer, and belongs to the technical field of ozone microwave radiometer calibration. The method comprises the following steps: acquiring real-time observation data of a Dick switch type ozone microwave radiometer on ozone observation, and a receiving power ratio of a Dick switch switching to an observation signal channel and a reference signal channel in observation data of the Dick switch type ozone microwave radiometer on ozone observation under extreme weather conditions; weighting the reference signal in the real-time observation data through the receiving power ratio, determining the microwave radiation brightness temperature of ozone through cold and hot load calibration according to the difference between the observation signal and the weighted reference signal in the real-time observation data. The application can effectively correct the positive and negative peak asymmetry deviation caused by the frequency switch technology, maintain the continuity of ozone observation, significantly improve the observation accuracy, and greatly reduce the labor cost and observation cost.