171 results about "Radiometer" patented technology

The present invention discloses a terahertz dynamic inductive thermal radiometer, comprising a superconducting thin film layer, a terahertz antenna, a cutoff layer, and a Si substrate. The superconducting thin film layer and the terahertz antenna are respectively deposited on the cutoff layer, which is deposited on the Si substrate. The superconducting thin film layer includes a superconducting feeder, an interdigital capacitor, and an inductor coil. The interdigital capacitor and the inductor coil are connected in parallel to form an oscillating circuit. The terahertz antenna is adjacent to the inductor coil and is used to convert received terahertz signals into heat, causing the inductor coil to produce an inductance change. This inductance change causes the resonant frequency within the interdigital capacitor to change. The superconducting feeder receives the changed resonant frequency, and the changed resonant frequency can be used to obtain the light intensity of the terahertz signal, thereby completing terahertz signal detection. The terahertz dynamic inductive thermal radiometer can accurately detect terahertz signals and is less affected by temperature. The present invention also provides a method for preparing the terahertz dynamic inductive thermal radiometer and a terahertz detection system.

The invention relates to the technical field of terahertz signal receiving, in particular to a photo-generated local oscillator multi-band tuning millimeter wave mixing receiver device. The device comprises an antenna, a photo-generated local oscillator circuit, a broadband coherent frequency mixing circuit, a baseband signal processing platform, a PC control end and a time division multi-frequency tuning module. By introducing a photo-generated local oscillator technology, a millimeter wave local oscillator signal with high frequency, stability and low phase noise is obtained, and the adaptability of the system to multi-band and cross-band signals is improved. By adopting the broadband coherent odd harmonic mixer with the fin line structure, high-efficiency mixing of a radio frequency signal and a local oscillator signal is realized, and the broadband coherent odd harmonic mixer has the advantages of broadband, high-efficiency odd mixing, low loss, compact integration and the like. On the basis, a time division multi-frequency tuning technology is adopted, and dynamic tuning and switching of multi-frequency-band signals are achieved in a single receiving framework. According to the invention, the problems of frequency band switching bottleneck and multiplexing loss in a traditional multi-frequency receiving system are solved. The antenna has the advantages of being compact in structure, capable of covering multiple frequency bands, suitable for multi-frequency-band observation requirements in a high-sensitivity radiometer system and the like.

A method for estimating typhoon structural parameters by fusing spaceborne GNSS reflectometer data and radiometer data, which relates to the technical fields of data fusion and typhoon monitoring. The method comprises: acquiring GNSS-R reflectometer data and radiometer data; filtering typhoon data from the GNSS-R reflectometer data and the radiometer data to obtain filtered GNSS-R reflectometer data and radiometer data; performing data spatio-temporal matching on the filtered GNSS-R reflectometer data and radiometer data to obtain a spatio-temporally matched region; performing data fusion processing on the spatio-temporally matched region to obtain fused data; and performing typhoon structural parameter estimation on the obtained fused data to obtain structural parameters of a typhoon at each development stage. Fused data of spaceborne GNSS-R reflectometer data and radiometer data is used for typhoon structural parameter estimation, such that the temporal resolution and accuracy of parameter estimation can be improved, and the algorithm complexity is low.

A method for evaluating terrain uncertainty in flood warning and forecasting is provided. The method includes: S1, acquiring three types of digital elevation model (DEM) data from a shuttle radar topography mission (SRTM), an advanced spaceborne thermal emission and reflection radiometer (ASTER), and an advanced land observing satellite (ALOS); and preprocessing the three types of DEM data; S2, optimizing urban terrain characteristics; S3, constructing a multidimensional parameter space by using Latin hypercube sampling (LHS); S4, calculating flood hydrodynamics numerical value based on multidimensional sample points; and S5, constructing a global sensitivity analysis method frame suitable for urban terrain characteristics-related factors, where a Sobol quantitative method is used in the global sensitivity analysis method frame, and the Sobol quantitative method is used to evaluate uncertainties and sensitivity characteristics of multiple factors of terrain data based on a variance decomposition theory.

The invention provides an offshore area atmosphere and ocean parameter collaborative inversion method and system, and relates to the technical field of satellite remote sensing, and the method comprises the steps: obtaining to-be-inverted parameters which comprise an atmosphere parameter and an ocean parameter, calling a multi-parameter physical information neural network model to carry out the ocean water-leaving radiation calculation of the ocean parameter, and calculating the ocean water-leaving radiation of the ocean parameter; an atmospheric aerosol model is called to carry out parameterization calculation on atmospheric parameters, and scattering parameters and absorption coefficients of atmospheric aerosol are obtained; inputting the ocean water-leaving radiation quantity and the scattering parameter and the absorption coefficient of the atmospheric aerosol into a forward radiation transfer model, and carrying out radiation transfer calculation to obtain entrance pupil radiation brightness of the top of the atmospheric layer; and finally, performing parameter inversion by combining a satellite measurement radiation signal to obtain an inversion parameter corresponding to the to-be-inverted parameter. According to the invention, problems existing in an atmospheric correction algorithm for ocean water color remote sensing in the prior art are solved.

The invention discloses a photovoltaic power generation forecasting method based on spectrum forecasting, and aims at solving the problem that errors are large due to the fact that only temperature and total irradiance are considered in an existing photovoltaic power generation forecasting method. The method comprises the following steps: downloading global forecast data and carrying out lattice point coding conversion; then carrying out dynamic downscaling and calculating future key meteorological variables; calculating the spectral optical thickness of each atmospheric component by using the spectral absorption and scattering coefficients of different gas components in the HITRAN database, and obtaining direct and scattered spectral irradiance according to the spectral optical thickness; carrying out calculation result verification and artificial intelligence correction by utilizing a solar spectrum radiometer; calculating generated power of different wavelengths; and calculating the final generation power through integral calculation in combination with the loss of other parts of the photovoltaic module. And forecasting a radiation spectrum at a future moment according to different forecasted meteorological variables, and converting radiation into power generation power according to the spectrum, thereby realizing refined conversion of optical power.

The invention discloses a target infrared radiation characteristic calculation method based on a neural network, and belongs to the field of aero-engines. Constructing a first BP neural network model; constructing a second BP neural network model; a detection point is set, rays are emitted to a target, and the positions of the rays are judged in real time through the second model: if the output label is 0, the rays continue to be transmitted, and radiation calculation is not triggered; if the output label is 1, calling the first BP neural network model to calculate a spectral absorption coefficient of a current wave band; judging the ray absorption state based on the spectral absorption coefficient; if the ray is not absorbed, repeating the step of judging the position of the ray, otherwise, terminating the current ray calculation; and counting radiation data of absorption positions of all the rays until all the rays are absorbed in all the wave bands, and outputting target infrared radiation characteristics. According to the method, triple contradictions of spectral precision-computational efficiency-path optimization are broken through through a dual-neural network collaborative architecture.

The invention discloses an optical scanning radiometer in-orbit dark background long time series data extraction method and system, and the method comprises the steps: obtaining cold air observation data and solar zenith angle data from an optical scanning radiometer, and generating a channel-level cold air observation data set and a channel-level solar zenith angle data set. According to the channel-level cold air observation data set and the channel-level solar zenith angle data set, various screening methods are adopted to generate to-be-selected schemes and screening data sets of the to-be-selected schemes. For each to-be-selected scheme, calculating a statistical mean value and data volatility based on a screening data set of the to-be-selected scheme, calculating a dark background representative value of the to-be-selected scheme, and determining a mean value sorting sequence number and a volatility sorting sequence number; and determining an optimal dark background value scheme by adopting a weighted assignment method according to the mean sorting sequence number and the volatility sorting sequence number. Therefore, according to the in-orbit dark background long-time-sequence data extraction method of the optical scanning radiometer, long-time-sequence stable extraction is achieved, and the remote sensing data radiometric calibration precision is remarkably improved.

The invention discloses a synthetic aperture radiometer darkroom phase calibration method and device. The method comprises the following steps: installing a synthetic aperture radiometer and a point target emission source in a microwave anechoic chamber; in the first-stage test, unit antenna output ports are connected with equal-length test cables and connected to a microwave test instrument, a synthetic aperture radiometer is set to be in an antenna observation mode, and a point target observation unit antenna phase difference test is carried out; in the second-stage test, the output end of the unit antenna is connected with each receiving channel of the synthetic aperture radiometer, the synthetic aperture radiometer is set to be in an antenna observation mode, and a point target observation full-system phase difference test is carried out; in the third stage of testing, the synthetic aperture radiometer is set to be in a common noise injection calibration mode, and common noise injection calibration is carried out; and calculating and counteracting a near field effect phase difference, a unit antenna phase difference and a receiver channel phase difference to obtain an accurate noise distribution network phase difference parameter. Darkroom phase calibration is achieved under the near-field condition, the result is accurate, and the method is simple, convenient and practical.

The invention provides a portable low-cost millimeter wave radiation imaging system and system. The system comprises a millimeter wave radiometer, an IMU module, a range finder, an optical camera, an acquisition module, a wireless transceiver module, a power supply module, an equipment appearance tool, client equipment and a detachable portable support rod. The millimeter wave radiometer is used for acquiring a millimeter wave radiation brightness temperature value of an observation scene, the IMU module is used for acquiring azimuth angle and pitch angle information of the meter wave radiometer, the range finder is used for acquiring the distance to the observation scene or a target, and the optical camera is used for acquiring an optical image of the observation scene; synchronously acquiring the data through an acquisition module; the collected data is transmitted to client equipment through the wireless receiving and transmitting module; performing two-dimensional uniform interpolation on the non-uniform azimuth angle and pitch angle on the client device; performing corresponding interpolation processing on the millimeter wave radiation brightness temperature value to generate a homogenized millimeter wave radiation image; and performing registration and fusion display on the millimeter wave radiation image and the optical image.

To provide a radioactive material monitoring device capable of accurately detecting the concentration of radioactive materials in a liquid to be detected. [Solution] A radioactive material monitoring device comprising a flow channel through which a liquid to be detected flows, a counter unit that counts signals based on radiation generated from within the flow channel, and an analysis unit that calculates the concentration of radioactive material in the liquid to be detected based on the radiation count rate obtained from the counter unit, wherein the analysis unit includes a background correction unit that calculates a background value from the count rate based on the volume of the liquid to be detected in the flow channel and the count rate obtained from the counter unit, and a concentration calculation unit that calculates the concentration of radioactive material in the liquid to be detected based on the background value calculated by the background correction unit and the count rate obtained from the counter unit.

The invention provides a synthetic aperture radiometer radio frequency interference detection method and system based on sub-band brightness temperature. The method comprises the following steps: sorting all brightness temperature data along a sub-band sequence; traversing all the sub-bands, performing fixed threshold detection on brightness temperature data of each sub-band, and marking detected radio frequency interference as abnormal; traversing all the sub-bands, performing two-dimensional airspace radio frequency interference detection on the brightness temperature of each sub-band, and marking the detected radio frequency interference as abnormal; and centralizing the brightness temperature of each sub-band, and then performing threshold detection on the absolute value of the centralized brightness temperature data of each sub-band to obtain the brightness temperature of the sub-band after radio frequency interference suppression. The method has the advantages that the method can be embedded into a real-time radio frequency interference detection module of a satellite-borne synthetic aperture radiometer, brightness temperature data of multiple sub-bands are jointly processed, the method has the advantages of simple steps and high detection capability, and most radio frequency interference presented by the brightness temperature of the sub-bands can be effectively detected.

The application provides an infrared blind road segmentation method using atmospheric transmission and thermal inertia effect to construct a neural network, and the method comprises the following steps: step one: constructing a neural network based on a thermal infrared imaging process. First, the atmospheric transmission module is used to add atmospheric transmission information of the image, and then a backbone network is used to perform multi-scale extraction on target features; meanwhile, according to the thermal inertia effect of a thermal radiometer at an imaging end, a thermal inertia module is used to calculate the original signal value of the target; finally, the obtained multi-scale target features and the original signal value are fused, and the fused features are input into a decoder to obtain a probability prediction map at a pixel level of the whole image. Step two: constructing a loss function to train the network. The loss calculation is performed on the prediction result and a pixel-level label to realize the training of the network parameters. The trained neural network is used to process an infrared image. After the constructed neural network is fully iteratively trained using the training data, the trained network is used to segment a target image.

The application discloses a kind of inclined surface hourly solar radiation calculation method and related equipment, belong to solar energy resource assessment and building energy saving technical field.The method includes: obtaining horizontal plane solar radiation data and space-time information, and the inclination and azimuth of target inclined surface;Calculate solar elevation angle, solar incidence angle, clear sky index and horizontal plane scattering radiation ratio;Two scattering radiation conversion coefficients are obtained by using two basic models respectively;At least according to clear sky index, horizontal plane scattering radiation ratio and solar incidence angle to determine dynamic weight;Two scattering radiation conversion coefficients are weighted and summed with dynamic weight, to obtain combined scattering radiation conversion coefficient, and then obtain inclined surface hourly solar total radiation.The method is combined by dynamic weight based on weather state and solar position real-time change to two basic models with obvious difference in weather adaptability, overcome the limitation that single model is only accurate under certain weather, and does not depend on multi-regional long-term measured data, improve the calculation accuracy and applicability under all weather types.

The invention relates to a radiation meter dense feed source array directional diagram optimization method based on a generative adversarial network. The method comprises the following steps: constructing a training data set, a condition vector containing a target directional diagram performance index and a corresponding optimal amplitude-phase weight vector; designing a conditional generative adversarial network model; constructing a physical constraint loss function by embedding a differentiable electromagnetic calculation module; loading the constructed training data set, and training a complete generative adversarial network model based on a loss function embedded with a differentiable electromagnetic calculation module; and when the system antenna pattern obtained according to the amplitude-phase adjustment parameters output by the generative adversarial network model meets the antenna pattern evaluation index, completing dense feed source array antenna pattern optimization. According to the method, the target weight is dynamically adjusted and optimized on orbit, so that a single model can adapt to beam forming requirements in different observation scenes, and flexible switching of multiple task modes such as high-resolution detection and wide-range general survey is realized.

According to the low-frequency ultra-wideband detection system and method based on the digital multi-beam push-broom radiometer, a low-frequency ultra-wideband microwave radiation signal from sea surface radiation is received, polarization separation is carried out on the low-frequency ultra-wideband microwave radiation signal, then a low-frequency ultra-wideband polarization signal is output, and then the polarization signal is processed; the intermediate frequency signals are subjected to data acquisition and synthesized into digital beams, the digital beams are subjected to related processing to obtain remote sensing data, instantaneous large-width and high-sensitivity detection can be achieved, and the obtained remote sensing data are used for high-precision ocean salinity and temperature detection.

The utility model provides a miniaturized Bluetooth wireless transmission module, a radiometer probe and a radiation detector, and relates to the technical field of radiation detectors. The module comprises a shell, wherein the shell is provided with an accommodating cavity; the main board is provided with a needle hole, and the main board is arranged in the containing cavity; the wireless unit comprises a Bluetooth module and an antenna, the wireless unit is electrically connected with the mainboard, and the wireless unit is used for communicating with the outside; the front part of the aviation plug is used for connecting external equipment, the rear part of the aviation plug is provided with a contact pin, and the contact pin is inserted into the pin hole and is fixed with the mainboard; and the battery is electrically connected with the mainboard. According to the miniaturized Bluetooth wireless transmission module, the communication between the host and the probe can be ensured, the space is greatly saved, and the detection operation is more facilitated. And the radiation detector and the detector probe can fundamentally solve the problem that a spring wire is easy to damage through matching with a miniaturized Bluetooth wireless transmission module, and solve many problems caused by the spring wire, thereby ensuring normal use.

The invention provides a method for evaluating the influence of damage to a wave-absorbing coating of an aircraft on the low scattering performance of the wave-absorbing coating, and belongs to the field of material performance evaluation.The method comprises the steps that regional decomposition is conducted on the aircraft, the aircraft is divided into a plurality of regions according to parts, each region is further decomposed into a plurality of sub-regions, and therefore targeted analysis can be conducted on damage of different parts; the method comprises the following steps: pre-estimating the low scattering performance of an aircraft wave-absorbing coating before damage, and calculating the radiation sectional area of each region by establishing a radiometer radiation sectional area model, so as to determine the low scattering performance reference of an aircraft in an undamaged state; carrying out radiation calculation on the passive millimeter wave absorbing coating; implementing brightness temperature imaging simulation of the passive millimeter wave absorbing coating; the low scattering performance of the airplane wave-absorbing coating after damage is evaluated, the influence of damage on the low scattering performance is quantified through a low scattering effect concept, and a basis is provided for repair decision making.

This invention relates to the field of microwave remote sensing precision calibration technology, and particularly to a traceable microwave radiation calibration device and method based on the quantum coherence effect of Rydberg atoms with a wave-shaped structure. The device includes: a microwave standard radiation system, a dynamic ring track, a Rydberg atom electric field measurement system, a radiometer receiving antenna, a data acquisition and control system, and a data processing system. The device uses the dynamic ring track to move the microwave transmitting antenna, causing microwave electromagnetic signals to alternately irradiate the Rydberg atom electric field measurement system and the radiometer receiving antenna. The interaction between the microwave electric field and specific Rydberg energy levels induces the Euler-Townes effect, causing energy level splitting and resulting in peak position evolution in the electromagnetically induced transparency spectrum of the atomic laser system. The data processing system calculates the electric field intensity and converts it into the corresponding brightness temperature, thereby calibrating the radiometer receiving antenna.

The application discloses a target detection method and system based on radar and radiometer cooperative sensing, and belongs to the technical field of target detection, which comprises the following steps: S1, acquiring a first source image and a second source image obtained by respectively detecting a same scene by using a radar sensor and a radiometer sensor; S2, after pre-processing the first source image and the second source image, performing target detection to obtain a first target image and a second target image; and S3, after fusing the first target image and the second target image, obtaining the position of a real target. The application considers that the radar sensor has the characteristics of high resolution and distance measurement, and the radiometer sensor has the characteristics of resisting interference from corner reflector and the like, target detection is performed on the imaging results of the radar and the radiometer, and then the radar and the radiometer are fused, the difference of information obtained by different sensors can be fully utilized, complementation between information is realized, the anti-interference capability of detection is improved, and therefore the accuracy of target detection is effectively improved.

According to an aspect, a UV radiometer is provided. The UV radiometer includes a sensor assembly and a sensor controller. The sensor assembly includes a UV sensor element and a temperature sensing component configured to perform a thermal adjustment of a sensed UV input from the UV sensor element to produce a compensated UV signal. The sensor controller includes a signal conditioning circuit configured to receive the compensated UV signal from the sensor assembly and produce a conditioned and compensated UV signal. The sensor controller also includes a communication interface configured to transmit the conditioned and compensated UV signal to a UV process controller.

The invention discloses a self-balancing step-by-step calibration system and method for an airborne microwave radiation platform, the self-balancing step-by-step calibration system comprises an internal calibration and an external calibration, and the switching of calibration sources is controlled by a central processing unit. External calibration needs to be performed once before a flight task, and an external low-temperature source and an external normal-temperature source are used for calibration. When a flight task is executed, the L-band constant-temperature dual-polarization receiver collects ground brightness temperature data and carries out internal calibration at the same time. In the observation process, the radiometer switches and receives the internal cold source, the internal heat source, the vertical polarized wave of the ground soil and the horizontal polarized wave of the ground soil according to the observation process controlled by the central processing unit. And a self-balancing calibration module is designed in the central processing unit and is used for carrying out calibration processing on acquired data. And finally, the calibrated data and the combined navigation module data are packaged in the central processing unit. One path of packaged data is transmitted to a ground station through the wireless data transmission module, and the other path of packaged data is stored in an airborne SD card.

The embodiment of the present disclosure provides a method, device, equipment and computer storage medium for obtaining a high-resolution image. The method for obtaining a high-resolution image comprises: reconstructing input Gaussian white noise through an image depth prior network to obtain a transient output result; under the constraint of a loss function, performing convolution on the transient output result and input known blur kernel to obtain first low-frequency channel brightness temperature information, which is matched with the input degraded image; through a gradient loss function, extracting gradient information of a high-frequency channel, and making the gradient information of the first low-frequency channel brightness temperature information and the gradient information of the high-frequency channel matched, thereby obtaining an enhanced high-resolution image. Through the processing scheme of the present disclosure, under the zero sample method, the training set is not restricted by the scarcity and type mismatch, the extremely high detail satellite radiometer undegraded low-frequency channel brightness temperature data is recovered, and the enhanced high-resolution image is obtained.

This invention relates to the field of microwave remote sensing precision calibration technology, and particularly to a traceable microwave radiation calibration device and method based on the Rydberg atomic quantum coherence effect. The device includes: a microwave standard radiation system, a parabolic reflector (5), a Rydberg atomic electric field measurement system (1), a radiometer receiving antenna (3), a data acquisition and control system (6), and a data processing system (14). The microwave electromagnetic signal from the microwave transmitting antenna (4) is reflected by the parabolic reflector (5), so that the microwave electromagnetic signal alternately irradiates the Rydberg atomic electric field measurement system (1) and the radiometer receiving antenna (3). The interaction between the microwave electric field and a specific Rydberg energy level causes the Euler-Townes effect energy level splitting, resulting in a peak position evolution of the electromagnetically induced transparency spectrum in the atomic laser system. The data processing system (14) calculates the electric field strength and converts the electric field strength into the corresponding brightness temperature, thereby calibrating the radiometer receiving antenna (3).

The invention relates to the technical field of electric power engineering, in particular to a high-voltage alternating-current overhead line electromagnetic radiation calculation method. The method comprises the following steps: S1, deploying electromagnetic field sensor nodes at fixed intervals along a high-voltage overhead line based on an electric field attenuation model, and dynamically coupling multi-dimensional environmental parameters to optimize the electric field attenuation model in consideration of the influence of the precision of the electric field attenuation model in a complex environment; s2, predicting the electric field intensity of any point in the space according to the input parameters by using a CNN-LSTM combined model; and S3, according to the predicted electric field intensity and the conduction current density change, calculating the conduction current density and evaluating the potential risk to the human body. By constructing an electric field attenuation model, the electric field intensity of a single wire and a multi-wire system at any point in the space can be accurately calculated. Multi-dimensional environmental parameters such as atmospheric pressure and solar radiation are introduced to optimize the electric field attenuation model, so that the precision of the model in a complex environment is improved.

This invention proposes a spaceborne ultra-high-resolution SAR imaging method with real-time tropospheric correction, which meets the requirements of high timeliness and high precision SAR imaging processing without being limited by the imaging area. Specifically, a corrected radiometer capable of covering the SAR observation field of view is used to simultaneously measure atmospheric temperature and water vapor pressure; the measurement data and SAR echo data are simultaneously transmitted to the ground to obtain the wet tropospheric zenith delay; using the total tropospheric delay estimation model, the total tropospheric zenith delay is obtained, and the slant range delay caused by the troposphere is further obtained; the slant range delay is used as a correction term to correct the SAR slant range model; in the ultra-high-resolution SAR imaging processing on the ground, the imaging algorithm adopts the slant range corrected by the real-time tropospheric correction, and finally obtains the ultra-high-resolution SAR image.

The invention discloses a stationary satellite surface emissivity collaborative inversion method based on background field reconstruction, and belongs to the technical field of satellite remote sensing information processing, and the method comprises the steps: constructing a background field of surface temperature and atmospheric temperature space structure collaborative constraint, employing a three-dimensional variational assimilation cost function to assimilate the actually measured surface temperature of a surface meteorological observation station, and calculating the surface emissivity of a stationary satellite. The obtained surface temperature analysis field is used as a surface temperature initial guess field for inverting surface emissivity by a one-bit variation inversion cost function; generating a ground surface emissivity background field by using the ground surface emissivity in the ground surface element historical data set, and constructing a ground surface item background error covariance matrix capable of representing a coupling relationship between the ground surface emissivity and the ground surface temperature based on the ground surface element historical data set so as to construct a one-dimensional variation inversion cost function; and the inversion of the surface emissivity can be realized by combining the satellite observation brightness temperature of the clear sky observation pixel observed by the infrared window area channel of the stationary orbit radiation imager, so that the inversion level of the surface emissivity is improved.

The embodiment of the invention provides a signal demodulation method and device, electronic equipment, a storage medium and a product. The method comprises the following steps: receiving a signal demodulation request, wherein the signal demodulation request comprises a modulation signal of noise carrier communication; according to the signal demodulation request, the modulation signal is input into the radiometer, a voltage waveform signal is obtained, and the voltage waveform signal is used for representing the instantaneous power of the modulation signal through the average voltage; obtaining a target response characteristic parameter of an integrator of the radiometer; and inputting the voltage waveform signal and the target response characteristic parameter into a pre-trained deep neural network model to obtain a demodulation signal, the deep neural network model being used for dynamically adjusting the weight of the characteristic in the voltage waveform signal according to the target response characteristic parameter so as to compensate the influence characteristic of the integrator response characteristic in the voltage waveform signal. According to the scheme, distortion caused by the response characteristics of the integrator of the radiator is compensated through the pre-trained deep neural network model, so that the accuracy of signal demodulation is improved.

The utility model discloses an optical radiometer, relates to the technical field of spectral radiometers, and aims to solve the problems that in the prior art, most of shells of existing spectral radiometers are of integral structures, when internal components of the shells are damaged, a shell cover on the shell needs to be detached by a screwdriver, then an internal circuit board is taken out, and the cost is high. And the use and the operation are very inconvenient. Side sliding plates are slidably connected to the two sides of the shell correspondingly, sliding grooves are formed in the upper sides and the lower sides of the side sliding plates correspondingly, embedded strips are arranged on the inner side of the shell and connected with the sliding grooves in an engaged mode, a protection plate is arranged at one end of each side sliding plate, a handle is welded to the front end face of each protection plate, and a shell cover is fixedly connected to one end of the shell. A heat dissipation groove is formed in the inner side of the side sliding plate, a display screen is arranged on the front end face of the shell cover, a pressing head is slidably connected to the shell, a supporting foot is arranged at the lower end of the pressing head, a clamping leg is fixedly installed at the bottom of the supporting foot, and a clamping groove is formed in the inner side of the side sliding plate.