71 results about "Distance correction" patented technology

The invention discloses an edge spraying compensation control method based on intelligent visual feedback. The method comprises the following steps: performing space scanning on a to-be-sprayed workpiece to obtain spraying image data, and establishing a space corresponding relation between a spray gun motion coordinate and a workpiece surface coordinate; registering the real-time spraying image by using the corresponding relation, identifying a geometric boundary line, brightness gradient change and a coating adhesion area of the edge of the workpiece, and generating edge feature data; according to the difference between the edge feature data and the target spraying image, the spraying coverage deviation and the boundary overlapping error are calculated, the coating thickness change trend, the optical density change rate and the boundary direction offset are extracted, and the spraying gun posture adjustment amount, the spraying distance correction amount, the spraying pressure correction amount and the path speed correction amount are generated; the angle, the spraying distance, the pressure and the movement speed of the spray gun are dynamically adjusted according to the parameters; according to the method, real-time visual feedback and self-adaptive compensation control in the spraying process are achieved, and the uniformity and consistency of the coating on the edge of the workpiece are effectively improved.

A kind of passive temperature measurement ranging method and system based on multispectral infrared, multispectral long-wave infrared detection system is designed, multispectral infrared temperature measurement ranging model is constructed, the difference between the minimum system observation value and model calculation value is taken as objective function, KKT and gradient descent method are used to solve model parameters preliminarily.Further, the temperature and distance correction model is established, the loss function fusing data error term and physical information term is designed, and the corrected temperature and distance are obtained.The multispectral long-wave infrared detection system is used to obtain infrared thermal image of specific wavelength, and the multispectral infrared detection model is established, the temperature and distance of target object are synchronously obtained, and the accuracy and reliability are high.

The invention belongs to the technical field of seismic data processing in geophysical exploration, and relates to a Marchenko multiple suppression method for correcting wave field mismatch based on Wasserstein distance, which comprises the following steps: acquiring a pulse reflection sequence through preprocessing and deconvolution; a pulse reflection sequence is input, and Marchenko iteration initialization is carried out; and remodeled Marchenko iteration for correcting the wave field mismatch based on the Wasserstein distance is carried out. According to the method, the optimal transmission theory is systematically introduced into the Marchenko multiple wave suppression field for the first time, the adaptive capacity of the Marchenko method to actual data noise, defect and amplitude distortion is remarkably improved while the advantage that the Marchenko method does not need a speed model is kept, and therefore higher-precision multiple wave suppression and more reliable primary wave recovery are achieved, and the method is suitable for popularization and application. The method is used for high-precision seismic imaging in a complex land exploration environment. The method has remarkable advantages in the aspects of constraint mechanism, error control and global feature protection.

The invention belongs to the technical field of coal mine tunneling equipment positioning, and provides a method and a system for positioning a tunneling and anchoring all-in-one machine in a coal mine tunneling roadway in order to solve the problems of error accumulation, environmental interference and system reliability existing in a traditional underground positioning mode. The method comprises the following steps: acquiring multi-source sensing data acquired by a multi-source sensor array deployed on a digging and anchoring all-in-one machine; performing time synchronization and space synchronization processing on the multi-source sensing data to obtain a fusion data set under a unified timestamp and a unified coordinate system; and inputting the fusion data set into an improved Kalman filtering framework for data fusion, performing distance correction by using a mahalanobis distance, and determining a real-time pose state of the driving and anchoring all-in-one machine according to a data fusion result and a distance correction result. According to the invention, the positioning precision, the system robustness and the reliability of the digging and anchoring all-in-one machine under extremely severe working conditions are obviously improved, and the inherent defects of large accumulative error, easiness in environmental interference and easiness in failure in a traditional single sensor positioning mode are effectively overcome.

The invention discloses a campus take-out order data management system based on location-based service, and belongs to the technical field of order management. The system comprises a positioning data acquisition module, an environment adaptive modeling module, a distance correction module and a confidence evaluation module. The method comprises the following steps: triggering a code scanning action of a rider, and synchronously obtaining GPS coordinates and Bluetooth signal intensity; establishing an adaptive signal attenuation model based on historical data of the meal taking cabinet, and calculating a high-precision correction distance; and finally, carrying out spatial vector consistency verification by fusing the GPS position and the correction distance, and generating an arrival confidence score, thereby accurately triggering order delivery confirmation, enhancing the discrimination capability of a false arrival behavior, remarkably improving the accuracy of order state updating, and improving the user experience. The problem of false delivery misjudgment of a rider caused by inaccurate positioning of the GPS in a complex environment in the prior art is solved.

The invention discloses a sight tracking method and system based on cascade deep learning and distance correction, and a storage medium. The method comprises the following steps: processing an eye image through a cascade deep learning model, and obtaining pupil center coordinates and cornea reflection light spot coordinates of two eyes; calculating a binocular pixel distance as a distance correction factor based on the pupil center coordinates, and calculating a relative position difference vector based on the pupil and light spot coordinates; establishing a three-dimensional nonlinear polynomial regression model taking the relative position difference vector and the distance correction factor as input; obtaining calibration data through a multi-distance sampling strategy and solving a model coefficient; and in the real-time tracking stage, calculating the coordinates of the fixation point of the screen by using the solved model. According to the method, the distance correction factor and the three-dimensional mapping model are introduced, so that geometric errors caused by forward and backward movement of the head of the user are effectively eliminated, meanwhile, the feature point positioning precision is ensured through cascaded deep learning detection, and the precision and robustness of a sight line tracking system are remarkably improved.

The invention relates to the technical field of atmospheric environment monitoring and optical detection, in particular to an aerosol vertical profile correction method and device for aerosol scattering coefficient and laser radar combined observation, and the method comprises the steps: S1, collecting echoes according to an integral window, and obtaining distance correction echoes; s2, collecting a height scattering coefficient greater than or equal to 2, and aligning the height scattering coefficient with a distance correction echo grid / time; s3, background deduction, resolution matching and invalid height elimination are carried out to obtain preprocessed echoes; s4, generating an initial scattering coefficient profile; s5, identifying layered boundary division layer intervals; s6, establishing a correction factor model for each layer, adding overlap compensation to the near earth, and introducing a system constant; s7, taking the consistency of the total height of the theoretical echo and the preprocessed echo as a target, taking the consistency of multi-height scattering coefficients as a constraint, and carrying out joint solving to obtain correction factor distribution; and S8, outputting a correction profile, boundary information and a parameter set. According to the method, system constants and overlap compensation are solved by preprocessing echo layering scale gradient correction factors through combination of full-height consistency and two-height actual measurement constraints, and a correction profile is stabilized.

The invention discloses a three-dimensional modeling device and method for a semiconductor factory. The method comprises the steps that an acquisition module acquires interface layout information and connection element data of the semiconductor factory; the equipment modeling module receives semiconductor factory interface layout information, determines a three-dimensional modeling starting point and generates a semiconductor factory equipment model containing an equipment interface; the connection element modeling module determines an element connection path by using semiconductor factory starting equipment or factory service interfaces, combining element interface matching rules and logic relation information among elements, and fusing a three-dimensional touch automatic checking algorithm and an optimal path algorithm based on safe distance correction; and interface connection among elements in each semiconductor factory equipment model in the equipment modeling module is realized, and three-dimensional modeling of the semiconductor factory is completed. According to the method, the layout information and the connection element information are fused, and three-dimensional modeling of the semiconductor factory is efficiently and accurately achieved through the logic relation between the connection elements and a three-dimensional touch automatic verification algorithm.

The application discloses a vortex electromagnetic wave radar forward-looking imaging method and system based on a concentric circular array design, a storage medium and an electronic device, and specifically comprises the following steps: establishing a new system radar imaging model according to a radar working mode; designing a concentric circular array and a vortex mode transmitting function; deriving a return model; obtaining distance direction high-resolution information of a target; performing distance correction, phase decoupling and Bessel amplitude compensation on the azimuth direction of the return, and coherently superimposing the compensated return to reestablish a dual relationship between a mode and an azimuth angle; and finally, realizing vortex electromagnetic wave radar forward-looking two-dimensional imaging through fast Fourier transform on the azimuth direction. The forward-looking imaging can increase the observation time of a region of interest, keep the region of interest in a main lobe range, enhance the strength of a return, increase return information, and effectively improve the azimuth direction resolution.

The present application relates to a kind of adaptive cruise control methods, comprising: the speed of at least two front vehicles in the same lane with vehicle and the speed of vehicle are collected acquisition step;Two front vehicles speed keeps stable state time is calculated, and whether two front vehicles speed keeps stable state time is greater than or equal to the judgment step of first set time, wherein, speed keeps stable state refers to speed is substantially maintained at a certain speed, speed deviation value is less than first threshold value;And in the case where two front vehicles speed keeps stable state time is greater than or equal to first set time, the distance of adaptive cruise system preset to vehicle is corrected at certain time interval, and it is corrected as correction distance, so that the distance between vehicle and adjacent front vehicle can be controlled as correction distance correction step.The present application also relates to a kind of adaptive cruise control system.

The application discloses a laser radar calibration method, by rotating the reflecting plate forward and backward, the reflecting plate is switched between two positions of laser vertical and inclined incidence on the reflecting surface, and then the reflected signal strength of the laser reflected on the reflecting surface is continuously changed, the fitting calculation of the reflected signal strength received by the photoelectric detector is carried out, and the condition formula X=peak+scalea_peak and Y=real distance-TOF distance measurement value are met, the respective fitting degrees are calculated by searching the scale coefficient in the whole range, the maximum fitting degree is taken as the optimal solution, the correction coefficient of the global distance fitting of the TOF radar is calculated, the TOF distance measurement value is corrected according to the determined correction coefficient and fitting coefficient and the peak and a_peak combined with each distance measurement, and finally the TOF distance correction value is obtained, so that the calibration method of the whole laser radar can be simplified under the premise of the same reflecting plate, and the test cost is reduced.

The invention discloses a side slope quasi-static earthquake effect determination method considering a pulse effect and a direction effect, and belongs to the technical field of side slope stability evaluation. The method comprises the following steps: S1, obtaining an existing near-fault seismic oscillation record, and carrying out pulse recognition on the existing near-fault seismic oscillation record to obtain a pulse and non-pulse seismic oscillation database; s2, pre-processing seismic oscillation peak accelerations in the two seismic oscillation databases; s3, obtaining a fault distance correction coefficient fitting formula and a fault azimuth correction coefficient fitting formula according to the pre-processed seismic oscillation database; s4, obtaining a fault distance correction coefficient and a fault orientation correction coefficient of the target slope according to the two fitting formulas; and S5, according to the fault distance correction coefficient and the fault orientation correction coefficient, determining the seismic action of the target slope in combination with a pseudo-static method. According to the method, the pulse effect and the direction effect can be considered at the same time, and a more accurate slope quasi-static earthquake action result is obtained.

The invention discloses a wireless distance correction method, a wireless positioning correction method, a wireless positioning system and a storage medium. The wireless distance correction method comprises the following steps: acquiring a calculated distance with other wireless gateways and a calculated distance with a beacon anchor point through wireless distance measurement; the actual distance between the wireless gateway and other wireless gateways is obtained; the calculated distance of the beacon anchor point is corrected based on the calculated distance and the actual distance with the other wireless gateways. According to the invention, the error characteristic measured from the'gateway-gateway 'link can be used for correcting the measurement result of the'gateway-beacon anchor' link. Due to the fact that the actual distance between the gateways is known, the error characteristic of wireless distance measurement on the link between the gateways in the current environment can be accurately calculated, the measurement result of the'gateway-beacon anchor 'link is corrected, and the wireless distance calculation error caused by environmental factors is reduced.

The invention relates to the field of unmanned aerial vehicles, in particular to a braking distance prediction method and device, an unmanned aerial vehicle and a medium, and the method comprises the steps: determining a physical model prediction distance according to the weight of the unmanned aerial vehicle and the braking and starting speeds through a braking dynamic model; inputting the parameters of the unmanned aerial vehicle into the neural network model for prediction to obtain a distance correction coefficient; and correcting the predicted distance of the physical model by using the distance correction coefficient to obtain a brake distance predicted value. The physical model is coupled with the neural network, parameter errors of the physical model are dynamically corrected through the neural network, and reliable guarantee is provided for safe landing and accurate obstacle avoidance of the unmanned aerial vehicle.

The application provides a laser ranging correction system and method in a dust environment in a limited space, and relates to the field of optical measurement technology. A laser power attenuation model and a wavelength change relationship in a dust environment are obtained based on Mie scattering and a multi-particle single scattering model; a power attenuation coefficient is obtained based on the power attenuation model and Lambert-Beer law to estimate an effective ranging range of the instrument; and a distance correction model in the dust environment is established based on the wavelength change relationship and Maxwell electromagnetic theory. When applied, dust is collected in the limited space and a particle size distribution spectrum is obtained; a concentration measuring instrument is arranged in the limited space to collect dust mass concentration in real time; dust mass concentration on a ranging light path is obtained by interpolating the dust concentration at arrangement points; the particle size distribution and the light path dust mass concentration are substituted into the attenuation model and the distance correction model to obtain a correction value to correct the measured distance, and finally the ranging accuracy of the laser range finder in a dust environment in a limited space such as a mine working face and a construction site is improved.

The invention provides a multi-target radar networking optimization station distribution method, device and equipment and a medium, and the method comprises the steps: determining a radar theoretical detection range according to radar pre-selected point data, radar resource data, detection height layer data and radar cross section data; performing atmospheric refraction correction on the radar theoretical detection range of each radar model corresponding to each radar preselected point location through the detection height layer data to obtain a radar correction detection range; performing detection distance correction on the radar correction detection range through the terrain shielding data and the detection height layer data corresponding to each radar pre-selected point location to obtain a radar target detection range; constructing a multi-objective function according to a radar target detection range, a detection task area and a target flight route; and optimizing the multi-objective function by adopting a preset optimization strategy to obtain a radar networking optimized station distribution result. Therefore, the networking station distribution efficiency is effectively improved.

The application relates to the technical field of vehicles and discloses a warning method and system before starting a vehicle, an electronic device, a storage medium and a vehicle, which comprise setting a corresponding relationship of a sound speed reference value and an environmental temperature and a distance correction factor; in response to the acquired environmental temperature, the sound speed under the current environmental temperature is calculated based on a relationship model between the sound speed and the environmental temperature, and the distance correction factor corresponding to the sound speed is calculated; the process of emitting an ultrasonic wave to a hypothetical target and returning is simulated, and the ultrasonic wave round trip time is recorded; the original detection distance is calculated based on the sound speed under the current environmental temperature and the ultrasonic wave round trip time, the original detection distance is corrected according to the distance correction factor, and the corrected original detection distance is compared with a dynamic threshold value to determine whether to give a warning. The application can improve detection precision and reliability by comprehensively judging multiple factors, can flexibly cope with detection requirements in different scenes, and can improve warning accuracy.

This invention relates to a method for adjusting the parallelism of tracks on a large-span, follow-up dome-shaped double-leaf door, and pertains to the field of telescope installation technology. The method includes the following steps: installing a steel truss on a foundation ring beam; installing the bottom track on the foundation ring beam and adjusting the installation position of the bottom track to center the foundation ring beam; installing the top track on the steel truss and adjusting the relative position of the top track to the foundation ring beam; re-measuring the interval between the bottom and top tracks until the parallelism of their spatial relationship is adjusted. This invention's method for adjusting the parallelism of tracks on a large-span, follow-up dome-shaped double-leaf door employs an indirect measurement method based on the foundation ring beam, overcoming the problems of direct measurement methods with large intervals and complex spatial relationships between the bottom and top tracks. Through distance correction, track parallelism adjustment is achieved, and the adjustment accuracy meets the track parallelism requirements. The measurement process is simple and easy to implement.

This invention discloses an intelligent system for center distance of supports in steeply inclined coal seams, relating to the field of measurement technology. The system includes: an equipment unit: a mining mechanism equipped with support subunits, which transmits initial attitude parameters to a measurement unit and receives calibration center distance from a calculation unit; a measurement unit: receiving the initial attitude parameters, measuring and acquiring the initial center distance, the dip angle of the acquisition layer, and the uniaxial compressive strength of the rock mass, and transmitting these to the calculation unit; and a calculation unit: constructing a calibration calculation model and calculating the calibration center distance to update the equipment attitude. Compared with existing technologies, this invention introduces the dip angle of the acquisition layer and the uniaxial compressive strength of the rock mass during the hydraulic support center distance correction process, constructing a closed-loop calibration mechanism. This allows the center distance to be output by the calibration calculation model and then fed back for execution, significantly improving the accuracy of hydraulic support center distance correction in uphill areas.

This invention provides a rim position acquisition program, a rim position acquisition method, and an eyeglass frame shape measuring device that enable the easy and aesthetically pleasing production of eyeglasses. [Solution] A rim position acquisition program used in a rim position acquisition device for acquiring the position of the rim of an eyeglass frame, wherein the program is executed by the processor of the rim position acquisition device to cause the rim position acquisition device to execute the following steps: an image acquisition step to acquire an image including the rim and alignment marks for correcting the projection direction of the rim; a rim shoulder distance acquisition step to acquire the distance of the front rim shoulder on the image; and a rim shoulder distance correction step to acquire the distance of the rim shoulder on the image by correcting it to the actual distance on the projection plane obtained by projecting the rim from a predetermined direction, based on the alignment marks on the image.

Procedure for identifying and prioritizing monitoring units (22, 28, 30, 32) to be exchanged in the case of existing interactions between the monitoring units (22, 28, 30, 32) comprising the following steps: - Recording and storing driving parameters over a defined number of driving cycles (N) of a vehicle (10), - Acquisition and storage of diagnostic parameters of each monitoring unit (22, 28, 30, 32) from a diagnostic statistic (33) of the monitoring units (22, 28, 30, 32) over the defined number of driving cycles (N) of the vehicle (10) to determine a damage state (SOD) of the respective monitoring unit (22, 28, 30, 32), - Determining and storing an expected increase in the emitted mass as a function of a distance traveled of at least one defined emission component based on the driving parameters, the damage state (SOD) and an aging factor (AF) of the monitoring units (22, 28, 30, 32) of the vehicle (10), - Establishing an initial prioritization list (45) depending on the respective damage status (SOD) of the monitoring units (22, 28, 30, 32), - Storing an interaction matrix (46) which specifies whether a damage state (SOD) of one of the monitoring units (22, 28, 30, 32) affects a damage state (SOD) of another monitoring unit (22, 28, 30, 32), - Storing a correction factor (CF) with which, in the event of such an interaction and exceeding a threshold value of the damage state (SOD) of the influencing monitoring unit (22, 28, 30, 32), the determined expected increase in the emitted mass of the influencing monitoring unit (22, 28, 30, 32) is corrected as a function of the distance traveled, - Creating a second prioritization list (50) depending on the size of the expected increases in the mass emitted for the monitoring units (22, 28, 30, 32) corrected by the correction factor (CF) depending on the distance traveled, depending on which an exchange of the monitoring units (22, 28, 30, 32) takes place.

The application relates to a laser radar distortion point cloud angle identification method and device and a robot, comprising the following steps: setting a calibration target according to position information of a support column, the support column being arranged at the periphery of a laser radar; acquiring a calibration point cloud generated by the laser radar at the calibration target; and determining an angle range of a distortion point cloud caused by the support column in the calibration point cloud. According to the method, the angle of the distortion point cloud caused by the support column is identified, the point cloud in the angle range is deleted or distance correction processing is performed on the point cloud, and the quality of the point cloud data is improved and the ranging accuracy of the point cloud is improved.

The application relates to a long-time accumulation and parameter estimation method under a frequency agile radar system, which comprises the following steps: radar echo signal down-conversion and pulse compression; search parameter interval and search interval initialization; non-uniform frequency domain generalized Radon Fourier transform is adopted to complete distance correction, Doppler phase compensation and hopping phase elimination under specific search parameters, and coherent accumulation is completed; search parameters are traversed, constant false alarm detection is carried out after signal energy is projected to the search parameter domain, if there is a target, the target motion parameters are determined according to the position of the energy peak, and the target motion track is output. The application effectively improves the echo signal-to-noise ratio of a complex maneuvering target and has target detection capability under a strong noise background.

The application discloses a target detection method and system based on machine vision, relates to the technical field of target detection, and comprises the following steps: deploying collection devices and respectively acquiring collection images of the collection devices; acquiring calibration parameters of the collection devices by using the collection images; fusing the collection images of different collection devices to acquire a fused image; acquiring collection angles and collection distances of different collection points; acquiring measured distances of the corresponding collection points by using laser ranging; and constructing a distance correction model; constructing an object recognition model according to different target objects and appearance images of the target objects to acquire the target objects; and acquiring collection distances of different positions of the target objects, and acquiring corrected distances by using the distance correction model, so that the target objects can be recognized and the current distance conditions of the target objects can be judged only by using camera devices, and the efficiency and accuracy of target detection are obviously improved.

The invention relates to the technical field of radar blind spot monitoring, and particularly discloses an ultrasonic radar blind spot monitoring system for collision prevention. Comprising a blind spot monitoring area determination module, a blind spot monitoring area adjustment module, a blind area obstacle identification module, an obstacle distance error correction module, a first collision risk analysis module, a second collision risk analysis module and a blind spot area real-time early warning module. According to the invention, through determining each blind spot monitoring sub-region of the target vehicle, dynamically adjusting the detection threshold, carrying out error correction on the obstacle distance, calculating the first collision early warning index and then carrying out correction, the second collision early warning index is obtained, and finally, the obstacle collision risk result of each sub-region is judged and output through the threshold. By means of dynamic area adjustment, accurate distance measurement correction and hierarchical risk analysis, the accuracy and real-time performance of blind spot monitoring are effectively improved, the collision risk can be remarkably reduced, and reliable guarantee is provided for driving safety.

The invention provides an ice-covered sea area sea surface elevation monitoring method and system based on satellite height measurement data, and belongs to the technical field of sea surface elevation monitoring. Based on a plurality of characteristic parameters of SAR mode radar echo data, an unsupervised clustering method is adopted to carry out initial classification on waveforms, and then a gradient boosting tree model is combined to optimize a classification result, so that the sea surface elevation of an ice-covered sea area is obtained. Carrying out classification processing on the waveform; according to a waveform classification result, carrying out distance correction on different types of waveforms by adopting different empirical re-tracking algorithms; on the basis of the re-tracked distance data, calculating sea surface elevation data by combining a satellite orbit height, a geophysical correction item and a geoid model; projecting sea surface elevation data to an equal-area grid, performing spatial interpolation and smoothing processing on a missing region, and generating a monthly sea surface elevation data set covering the ice-covered sea area; and comparing and verifying the generated sea surface elevation data with tide station data and an existing data set, and outputting a final sea surface elevation monitoring result.

The drawing device (1) of the present application controls the focusing height of light emitted from a drawing section (41) based on information from a height measuring section (71) that measures the height of a main surface, i.e., an upper surface (91), of a substrate (9), and moves the substrate (9) to draw a pattern on the upper surface (91). The drawing section (41) and the height measuring section (71) are arranged separately in the moving direction of a holding section (21). A correction reference section of a reference unit (5) includes a reflection region that reflects light emitted from the height measuring section (71), and an edge that changes the reflection state of the light. A distance correction section of a calculation section acquires the distance between the drawing section (41) and the height measuring section (71) based on the edge detection position of the correction reference section of the height measuring section (71) whose output changes due to the edge, and the drawing correction position of the correction reference section at which light emitted from the drawing section (41) is irradiated to a prescribed position of the correction reference section.

The invention discloses a support center distance intelligent system for a steeply inclined coal seam, and relates to the technical field of measurement, and the system comprises an equipment unit which is provided with a mining mechanism comprising a support sub-unit, transmits an initial attitude parameter to a measurement unit, and receives a calibration center distance from a calculation unit; the measuring unit is used for receiving the initial attitude parameters, measuring and acquiring an initial center distance, a layer dip angle value and a rock mass uniaxial compressive strength value and transmitting the values to the calculating unit; and the calculation unit is used for constructing a calibration calculation model and calculating a calibration center distance to update the attitude of the equipment. Compared with the prior art, the acquisition layer dip angle value and the rock mass uniaxial compressive strength value are introduced in the hydraulic support center distance correction process, a closed-loop calibration mechanism is constructed, the center distance is output through a calibration calculation model and then fed back for execution, and the method has the beneficial effect that the correction precision of the hydraulic support center distance in the uphill eye area is remarkably improved.

In one embodiment, a method for providing at least one correction value for an output distance image of a time-of-flight sensor (10) comprises the following steps: supplying a single image, wherein one, preferably each, data point (14) of the single image includes a distance value, a total peak height and a total peak width, each determined from an echo signal (S') received by the time-of-flight sensor (10) by at least two detector elements (14a, 14b); for several data points, preferably for each data point (14), of the single image, determining at least two individual peak heights as a function of the total peak height and the distance value of the respective data point and determining at least two individual peak widths as a function of the total peak width and the distance value of the respective data point;for several data points, preferably for each data point (14) of the single image, determining a distance-dependent individual distance correction value for one, preferably for each, detector element (14a, 14b) based on the individual peak height or on the basis of the individual peak height and the individual peak width, and providing a total distance correction value of the respective data point as a function of the individual distance correction values.

The application discloses a method, device and equipment for rapidly detecting a mobile target by using a random PRI radar, and aims at the problem of Doppler ambiguous mobile target detection of an existing coherent radar. The non-uniform sampling scale transformation is used to restore the signal to a uniform sampling signal and simultaneously complete distance correction. The parameter sub-path division search strategy is used to effectively solve the problem that the traditional coherent radar has a large search amount for a non-cooperative target without prior information and has poor real-time processing capability, and the optimal detection performance can be approached with high calculation efficiency.