1430 results about "Ranging" patented technology

The invention discloses an offshore platform anti-collision device and method based on multi-mode BEV perception, and the device comprises a three-dimensional fusion distance measurement module, a UWB distance measurement module, a ship navigation state monitoring module, a platform marine environment monitoring module, and a central processing unit. The three-dimensional fusion ranging module comprises a holder, a laser radar and a camera, and is used for performing 360-degree three-dimensional scanning on the periphery of the offshore platform; the UWB distance measuring modules are installed on the periphery of a ship and pile legs of an offshore platform. The ship navigation state monitoring module is used for acquiring ship position, navigational speed and course information in real time; the platform marine environment monitoring module collects wind wave data and weather data near the offshore platform and route information of passing ships through network communication. The invention discloses an offshore platform anti-collision device with real-time monitoring and collision risk assessment functions, the anti-collision safety of an offshore platform is improved, and the occurrence rate of collision accidents is reduced.

The invention belongs to the technical field of ocean detection, belongs to a multi-sensor fusion intelligent anti-collision method and system, comprises a sensing layer, a processing layer and an application layer, and provides an intelligent anti-collision and evidence recording ocean monitoring floating system integrating computer vision, target ranging, satellite positioning and ship automatic recognition system multi-sensor fusion. According to the invention, YOLOv8 target detection, Transform data fusion and a Kalman filtering algorithm are adopted, so that accurate detection and anti-collision early warning of ships and floating objects on the sea are realized. The system has an AIS failure processing mechanism and an evidence encryption storage function, and ensures reliable operation and data compliance under complex sea conditions.

The invention relates to a multi-branch power distribution network double-end traveling wave fault positioning method and system, and the method comprises the steps: deploying a plurality of measurement points based on the head and tail ends of a radial power distribution network and branch terminals, collecting topological information, and calculating the linear mode wave velocity; using the three-phase voltage data after the fault to extract traveling wave line mode and zero mode components through modulus decoupling; a line mode component with the strongest global mutation is selected as a reference, and a wave head time sequence table is generated through wavelet decomposition and mutation detection; and correcting the zero-mode wave velocity by combining the topology, the time sequence table and the line-mode wave velocity, and determining a fault interval and outputting a fault position after compensation and correction by using the line-mode and zero-mode wave head time difference. According to the invention, through a wave head time sequence analysis and time difference compensation mechanism based on cooperation of multiple measuring points, positioning errors caused by clock asynchronization and parameter disturbance are effectively overcome, accurate distance measurement which is not influenced by clock errors is realized, and the distance measurement precision is significantly improved; and meanwhile, the point distribution requirement is simplified, accurate judgment and positioning of a fault interval can be realized only by a branch single measuring point, and high economy and deployment flexibility are both achieved.

The invention relates to a space-ground integrated Beidou high-precision positioning method applied to urban canyons, and belongs to the technical field of navigation positioning. The method comprises the following steps: deploying a pseudo satellite base station, calibrating coordinates of the base station through carrier phase difference, and monitoring the number of Beidou visible satellites; a master pseudo-satellite is determined, timestamps and ephemeris data are broadcasted to slave pseudo-satellites through Beidou short messages, and the slave pseudo-satellites are combined with bidirectional ranging data to correct a local clock to realize high-precision synchronization; receiving Beidou and pseudo-satellite signals by a user terminal, screening effective observation values through a shielding judgment mechanism, substituting the effective observation values into a non-difference observation equation in combination with pseudo-satellite reference difference data, and resolving a fusion result through an elastic coupling mode; and finally, multi-path interference is identified by using pseudo-satellite double antennas, and historical data is called to construct an error model to correct a fusion result. The space-ground integrated positioning of Beidou and pseudo satellites in an urban canyon scene is realized, the centimeter-level positioning precision is stably output, and the high-precision positioning requirements of urban traffic, surveying and mapping and the like are met.

Tracked distance measuring device, systems, and methods for determining and mapping point of interest for use in utility locating operations and other mapping applications are disclosed. A tracked distance measuring device embodiment includes simultaneously triggered rangefinder and positioning elements to measure a distance and determine location and pose, optionally in conjunction with a utility locator.

The embodiment of the invention discloses a digital key ranging value filtering method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring ranging information of a plurality of UWB anchor points in real time; obtaining the position change trend of the digital key according to the distance measurement information; under the condition that the effective distance measurement value does not exist, a preset target position is obtained according to the positioning result corresponding to the moment t of the previous effective distance measurement value, the position change trend and the unlocking and locking state of the vehicle terminal, and a predicted distance is obtained according to the distance relation between the effective distance measurement value at the moment t and the preset target position; obtaining a prediction duration T according to the prediction distance; in the T, when an effective distance measurement value is not detected, state one-step prediction of a Kalman filtering algorithm is executed to obtain a filtered distance measurement value, and when the effective distance measurement value is detected, the state one-step prediction is terminated, and a filtering estimation value is obtained according to the Kalman filtering algorithm to serve as the filtered distance measurement value; and obtaining a positioning result of the area outside the vehicle according to the filtered distance measurement values of the plurality of anchor points.

The invention discloses a distribution network-oriented traveling wave fault location centralized analysis system, which relates to the technical field of power system fault location and comprises a centralized master station and a plurality of monitoring terminals. The monitoring terminals are deployed at different node positions of a power distribution network, and synchronously collect fault traveling wave signals and upload the fault traveling wave signals to the centralized master station. The centralized master station comprises a topology modeling module, a data preprocessing module, a wave head identification module, a candidate branch screening module, a matching evaluation module and an accurate positioning module. According to the invention, through establishing a full-process quality tracking and adaptive weighting mechanism from preprocessing to accurate positioning, a system can adjust a positioning strategy according to a distribution network topology structure and a signal state based on a two-dimensional comprehensive evaluation system of topology sensitivity and signal quality; high fault positioning accuracy and reliability are kept in a complex environment of the distribution network, and the robustness and practicability of the system are improved.

The invention provides a power distribution network fault intelligent positioning and self-healing recombination method and system. The method comprises the steps that S1, operation data of a power distribution network are acquired and preprocessed; s2, modeling the power distribution network topology into a weighted undirected graph, and constructing transient characteristics including node characteristics and edge characteristics; s3, on the basis of the transient characteristics and the power distribution network topology, the fault type is judged in real time by adopting a graph convolutional network, and a fault section is determined in combination with a traveling wave distance measurement and impedance method; s4, when entering an isolation fault state, automatically generating a power supply reconstruction scheme meeting current, voltage and switch constraints, and selecting an optimal scheme through multi-objective optimization; and S5, issuing a switching instruction according to the optimal scheme to complete topology reconstruction, and updating a fault identification and recombination strategy according to an actual execution result to improve positioning precision and recovery efficiency. According to the invention, a novel fault processing scheme integrating multi-source measurement, an efficient algorithm and online learning can be adopted, so that the power failure time is shortened, the power failure range is reduced, and the toughness of the power distribution network is improved.

The invention belongs to the technical field of orthopedic surgery navigation, discloses a communication and positioning integrated orthopedic surgery navigation method and system based on multi-dimensional perception, and aims to solve the problems that in an existing orthopedic navigation technology, optical navigation is prone to being shielded, multipath interference of UWB positioning is serious, and real-time performance is insufficient. Comprising the steps of obtaining measurement values including positioning data of a UWB positioning module, ranging data of a laser ranging module and an attitude angle of an IMU module; according to the method, extended Kalman filtering is adopted, positioning data of a UWB positioning module, ranging data of a laser ranging module and an attitude angle of an IMU module are taken as state vectors, dynamic adjustment of credibility is realized by adjusting a process noise matrix of a state equation and a measurement noise matrix of a measurement equation according to task characteristics, and the credibility of the UWB positioning module is improved according to data of different credibility. And resolving the pose state of the tail end of the surgical instrument. The method has the advantages of high positioning precision, high response speed, high environmental adaptability and high resource efficiency.

The invention belongs to the technical field of wireless positioning, and discloses a non-line-of-sight interference-resistant dynamic positioning method and a base station layout method for positioning. Comprising the following steps: calculating original distance measurement results of each initial base station in a label and a sub-region, obtaining current shielding probability and current signal intensity of the initial base station and current geometric accuracy factors of different initial base station combinations in an initial base station set, selecting candidate base stations, calculating information gain of each candidate base station pair, and obtaining the information gain of each candidate base station pair; selecting candidate base stations with information gains meeting preset requirements to construct a target base station subset, inputting an original ranging result of the target base station subset into a Kalman filter based on a motion state space model for processing, and compensating an NLOS time delay error through a sliding window mean value to obtain a positioning result of a label and an NLOS time delay error estimation value, the problem that the positioning result is not accurate enough in a complex environment is solved.

The invention relates to the technical field of laser ranging, in particular to an unmanned aerial vehicle dynamic laser ranging method based on multi-source fusion and adaptive compensation, and the method comprises the following steps: obtaining a ranging pulse of a laser ranging module, and carrying out three-axis rotation and coordinate translation in combination with an IMU angle to generate a geographic registration coordinate set; radar and ultrasonic ranging are fused to construct redundant distance compensation data, particle filtering is executed based on IMU acceleration angular velocity to generate an attitude constraint distance, SLAM weight is adjusted according to illumination and meteorological parameters, and an unmanned aerial vehicle dynamic ranging coordinate result set is generated. Spatial registration is executed by combining longitude and latitude height data, by establishing dynamic association between the ranging data and IMU attitude data, smoothness and continuity of the ranging data can be kept when attitude disturbance is severe, the weight proportion of the vision ranging data in multi-source fusion is dynamically adjusted, and the high-precision estimation capacity of the target distance in the dynamic flight state is improved.

The invention provides an underwater positioning system based on effective sound velocity compensation and multipath equalization, which relates to the technical field of marine equipment and comprises an environment sensing and modeling module, a signal propagation characteristic analysis module, an intelligent signal processing and distance measuring module and a fusion positioning and quality evaluation module. The environment sensing and modeling module is used for constructing a dynamic three-dimensional sound velocity field and evaluating the reliability of the environment, the signal propagation characteristic analysis module is used for establishing a multi-path propagation model and extracting path characteristic parameters, and the intelligent signal processing and distance measuring module is used for suppressing multi-path interference and realizing high-precision distance measuring calculation. The fusion positioning and quality evaluation module is used for multi-source information fusion positioning and forming a quality feedback closed loop; the system can effectively cope with sound velocity temporal and spatial change and multipath interference in a complex marine environment, remarkably improves the precision, stability and robustness of underwater positioning of the underwater vehicle, and is suitable for the fields of deep sea detection, ocean engineering and the like.

The invention discloses an unmanned aerial vehicle control method and device and a storage medium, and relates to the technical field of unmanned aerial vehicle control, and the unmanned aerial vehicle control method comprises the steps: aligning infrared data and image data according to coordinates, and obtaining fusion data, so as to eliminate the spatial deviation of the infrared data and the image data; analyzing the water mist concentration and the water mist particle size based on the fused data; after the water mist concentration and the water mist particle size in a preset continuous detection time period are aligned according to a time sequence, fitting water mist concentration distribution between the unmanned aerial vehicle and the wall surface; and adjusting a signal-to-noise ratio threshold value and a radar cross-sectional area threshold value of the radar sensor according to the water mist concentration distribution. The technical effect of preventing the water mist sprayed by the unmanned aerial vehicle from interfering with the distance measurement of the wall surface can be achieved.

The invention discloses a high-resolution peak value positioning method based on multi-pulse superposition and offset clock cooperation, and belongs to the technical field of laser radar ranging. Aiming at the problems that a traditional laser radar depends on a high-sampling-rate ADC, so that hardware cost is high, power consumption is large, and sampling errors are likely to be caused by echo jitter, the method does not need to replace an existing ADC, and the technical breakthrough is achieved through the following core steps that firstly, the basic sampling rate X Hz and the target equivalent sampling rate improvement multiple N of the ADC are determined; laser pulses are emitted to a target object for N times, during Kth emission, ADC sampling is started by delaying (K-1) / (X * N) seconds, and N groups of echo data with time sequence offset are obtained; performing cross combination on the N groups of data, and constructing an N-time equivalent high-sampling-rate data sequence; repeating the sampling and combining process for S times, and performing alignment superposition and averaging on S groups of data to suppress echo jitter and noise; and estimating initial parameters (amplitude, mean value and standard deviation) of a Gaussian model based on the superposed data, optimizing the parameters through an LM nonlinear optimization algorithm, and finally taking the optimized mean value as a high-precision peak position of an echo signal to realize accurate measurement of the laser flight time. Under the condition of low-sampling-rate hardware, through the collaborative design of clock skew and multi-pulse superposition, the physical limitation of the sampling rate is broken through, low cost, low power consumption and high ranging precision are taken into account, and the method is adaptive to multi-scene application of automatic driving, industrial ranging and the like.

The invention relates to a solid-state laser radar ranging method and system based on neural network processing, and belongs to the technical field of laser radar ranging, and the method comprises the steps: obtaining a laser echo signal when laser radar detection is carried out on a surrounding target object, and obtaining a photon counting histogram based on the laser echo signal; preprocessing the photon counting histogram, and inputting the preprocessed photon counting histogram into a pre-trained neural network model to obtain a peak confidence map containing an echo peak value and a peak time offset map; on the basis of the peak confidence map and the peak time offset map, obtaining one or more echo peak values of which the confidence exceeds a predetermined threshold and time position information of the one or more echo peak values of which the confidence exceeds the predetermined threshold; and based on the time position information, the distance information with one or more target objects is determined, so that the time position information measurement accuracy of one or more echo peak values is improved, and the laser radar ranging accuracy is improved.

Autonomous ground vehicles that are outfitted with radar sensors and inertial measurement units accurately determine states of the autonomous ground vehicles, e.g., estimates of the vehicles' positions, orientations, or velocities or accelerations along or about one or more axes, based on data captured by the radar sensors and the inertial measurement units. Where objects are detected in radar scans, the objects are determined to be static (or fixed), or dynamic (or moving), and landmarks representing static objects are identified. Constraints on estimates of states may be calculated based on doppler effects, inertial measurement unit effects, or locations of landmarks, and the states may be determined as solutions to optimization problems based on the data and the calculated constraints. Odometry messages representing the determined states may be generated and stored or utilized for any purpose.

The invention discloses a UWB (Ultra Wideband) ranging error suppression method fusing a black-wing plinary algorithm and an information entropy adaptive adjustment mechanism. The method comprises the following steps: firstly, identifying a non-line-of-sight signal by combining a ranging residual error, a first-order difference and a sliding window strategy; abnormal values are removed based on residual errors, missing data are compensated through segmented three-time Hermite interpolation, and data continuity and smoothness are guaranteed; calculating Shannon information entropy by using sliding window kernel density estimation, dynamically quantifying residual distribution uncertainty, adaptively adjusting Kalman gain, and realizing weight real-time adjustment; meanwhile, the initial parameter configuration of the filter is optimized by adopting a black-wing algorithm, and the convergence and the overall stability of adaptive filtering are improved. Aiming at the problems of measurement abnormity and precision reduction caused by the fact that UWB distance measurement is easy to be shielded and interfered in the NLOS environment, the method can effectively inhibit distance measurement errors, overcomes the limitation that a traditional method depends on manual parameter adjustment, and provides powerful technical support for high-precision UWB distance measurement in the NLOS environment.

The invention discloses a machine learning-based antenna phase center error compensation method, which comprises the steps of firstly obtaining frequency, attitude angle and temperature information, then obtaining a phase center error compensation value based on the obtained frequency, attitude angle and temperature information through a light-weight model obtained by pre-training, and finally obtaining a phase center error compensation value based on the phase center error compensation value. A compensated ranging result is determined. According to the compensation method, temperature and other physical field non-electromagnetic parameters are introduced to serve as input, the influence of in-orbit operation environment changes on the phase center is compensated, meanwhile, a machine learning model is adopted for calculating a compensation value, the machine learning model can approach a complex multi-dimensional nonlinear function, interpolation errors are eliminated, and compensation precision is remarkably improved.

The invention relates to a heading machine pose measurement and control method and system based on visual direction finding and communication distance measurement. The system comprises a base station end measuring system in a roadway, a mobile end measuring system on a heading machine body and a motion control module. The method comprises the following steps: S1, establishing a base station end coordinate system; s2, establishing a mobile terminal coordinate system; s3, the base station side identifies and measures the vector information of the characteristic light source of the mobile terminal through a visual sensor; s4, the base station end and the mobile end measure the distance between the base station end and the mobile end through communication ranging equipment; s5, calculating the three-dimensional position of the mobile terminal in the coordinate system of the base station terminal based on the vector information and the distance information; s6, according to the three-dimensional position and the inertial measurement data of the mobile terminal, carrying out combined navigation calculation based on an EKF algorithm; and S7, performing pose control based on a combined navigation calculation result. According to the invention, a means of combining visual direction finding, communication distance measurement and inertial measurement is adopted, so that the position measurement precision is improved.

The invention discloses a single-satellite target sight atmospheric refraction correction method and system based on multi-spectral range finding, and relates to the field of atmospheric refraction processing, and the method comprises the steps: determining a target radiation intensity ratio based on two radiation intensities on different wavebands at the same moment; obtaining observation sight lines of the satellite on the measured target on different wave bands at the same moment, and carrying out light trace tracking to obtain a light ray tracking trajectory; determining a target grid through which each ray tracing trajectory passes from the atmosphere gridding model, determining an extinction coefficient of each target grid, and constructing a target function of a radiation intensity ratio with respect to the height of the target from the ground in combination with a radiation intensity calculation formula; determining a target height from the measured target to the ground based on a target function and a target radiation intensity ratio, determining the position of the measured target according to a track point matched with the target height in each light ray tracing track, and determining a sight line vector after atmospheric refraction correction by combining the position of a satellite, therefore, high-precision atmospheric refraction correction under a single-star observation condition is realized.

The invention belongs to the technical field of mobile wireless positioning, and particularly relates to a Bluetooth and UWB fusion positioning method and system based on Kalman filtering, and the method comprises the steps: taking a UWB distance measurement value and a distance converted by a Bluetooth signal distance conversion model as an observation vector through combining the low power consumption characteristic of a Bluetooth signal and the high precision advantage of UWB; according to the real-time position of a detected target, a Kalman filtering algorithm (Kalman filtering algorithm) is adopted to carry out data fusion processing, so that real-time positioning of an observation target is realized. According to the algorithm, a positioning service area is divided into a high-precision positioning area, a common-precision positioning area and a connection area according to the positioning precision requirement, and UWB positioning anchor point equipment and BLE positioning anchor point equipment are arranged in different positioning areas at the same time. And an indoor fixed person navigation positioning model is formed by adopting UWB and BLE pedestrian navigation constraints for the connection area, so that the requirements of relatively high precision and relatively low cost are met.

The invention provides an AGV global positioning controller based on double-filter arbitration and space-time verification. The AGV global positioning controller comprises a visual motion estimator, a global absolute positioner and an intelligent arbitration center. The visual motion estimator generates relative pose and visual positioning confidence through data of a depth camera, an inertial measurement unit and a wheel type odometer; the global absolute locator outputs an absolute pose and a global positioning confidence coefficient through ultra-wideband base station ranging data; the intelligent arbitration center dynamically selects a fusion strategy according to the confidence degree, performs weighted fusion in a normal state, and adopts speed interpolation or drift compensation to realize positioning source switching in an abnormal state, so that the problem of positioning jump caused by failure of a single sensor in a complex environment is effectively solved; the positioning stability can be improved, smooth switching and abnormity correction are realized, and the AGV global positioning precision is further improved.

The invention relates to the field of intelligent positioning, and provides an IMU (Inertial Measurement Unit) and UWB (Ultra Wideband) combined positioning method based on extended Kalman filtering, which comprises the following steps: acquiring IMU and UWB data, establishing a combined positioning model, carrying out preliminary distance measurement according to the combined positioning model, carrying out consistency check, and carrying out autonomous detection and gross error identification on UWB measurement. According to the method, measured values which are geometrically inconsistent are suppressed by using information, when detection exceeds a threshold, UWB data at the moment are not adopted, only an IMU prediction result is reserved, and when detection passes, standardized information square of each channel is taken as a statistical index and mapped to a basic probability distribution function in a DS evidence theory; according to the method, the UWB measurement value is subjected to UWB measurement, multi-channel measurement evidences are fused through a DS evidence combination rule, a fusion result is converted into measurement noise covariance for adaptive adjustment, filtering updating of the UWB measurement value in an extended Kalman filtering algorithm is achieved, and the positioning precision and stability of IMU and UWB combined positioning in a complex indoor environment are improved.

To allow one satellite navigation receiver to simultaneously acquire calculation results based on different positioning methods, calculation conditions, or calculation parameters.SOLUTION: For a satellite navigation receiver that measures its own position using satellite navigation systems, including the GPS by the United States and Japan's Quasi-Zenith Satellite System, multiple combinations of positioning methods, calculation conditions, and calculation parameters for positioning calculations will be maintained, and each of these will be applied to a set of distance measurements using a single ranging processing circuit to perform positioning calculations, and all calculation results obtained will be output, making it possible to simultaneously obtain calculation results using different positioning methods, calculation conditions, or calculation parameters by one satellite navigation receiver.SELECTED DRAWING: Figure 1

The invention relates to the technical field of cable line operation and maintenance, in particular to a cable fault diagnosis method and system based on quantum optimization variational mode decomposition and multi-scale evaluation, and the method comprises the steps: employing a quantum genetic algorithm to optimize the modal number and penalty factor of variational mode decomposition through a multi-target fitness function; constructing a multi-scale evaluation system fusing time domain, frequency domain and wavelet domain features, and screening an optimal modal component; and carrying out multi-feature fusion wave head calibration on the optimal modal component to calibrate the arrival time of the wave head, and realizing accurate positioning of a fault point in combination with a double-end traveling wave method. According to the method, the ranging error can be effectively reduced under the conditions of high transition resistance and low signal-to-noise ratio, the robustness and engineering applicability of cable fault diagnosis are improved, and the problems of attenuation distortion of fault traveling wave signals and difficulty in wave head calibration under the conditions of strong noise and high transition resistance are solved.

The invention provides an inter-satellite link bidirectional measurement method based on a same-time same-frequency full-duplex system, which overcomes the problem that receiving and transmitting of a traditional time-division half-duplex system cannot work at the same time and at the same frequency, and can effectively improve the information transmission rate and the ranging precision. The inter-satellite transmission rate, the measurement frequency and the data updating rate can be doubled; simultaneous and same-frequency measurement between satellites can greatly eliminate distance measurement errors caused by relative motion between satellites, clock skew and Doppler effect; a complex orbit model does not need to be established to improve the distance measurement precision, the time scale reduction error is greatly reduced, and the overall measurement performance is improved.

The invention provides a one-key alignment method for heavy-load equipment in multiple scenes, which comprises the following steps of: acquiring a gravity direction component of an equipment body, and establishing a magnetic attitude reference coordinate of the equipment body by combining the reading of a tilt angle sensor and a horizontal reference plane of an optical ranging unit and a calibration point. Capturing the spatial distribution information of the mark points, calculating the offset of the current attitude of the equipment relative to the horizontal reference plane according to the geometric constraint among the mark points, and generating an initial attitude mapping matrix; and reading the angular velocity and the acceleration of the inertial navigation system, determining the deviation between the inertial attitude and the visual attitude, and generating a combined attitude calculation result. The hydraulic cylinder and the rotating table are driven to be synchronously adjusted according to the deviation value between the current attitude of the equipment and the target mounting point, the change trend of the attitude angle is monitored, and suppression feedback is triggered to adjust the fusion weight of the sensor. And calling a micro-motion mechanism to execute a fine pose adjustment instruction, monitoring a pose error in real time, and generating a pose locking report when the pose error is within a tolerance range.

The invention belongs to the technical field of aircraft assembly measurement, and particularly relates to an aircraft assembly tool measurement field measurement reference point spacing laser tracker measurement method, which comprises the following steps of: calibrating and constructing a distance measurement coordinate system by adding an alignment measurement point to be combined with a reference measurement point and utilizing an absolute distance measurement function of a laser tracker; and a multi-degree-of-freedom precision adjustment structure of the articulated arm robot is utilized to position the laser tracker on an epitaxial line of the reference measurement points, so that the high-precision measurement of the distance between the two reference measurement points is realized, the networking measurement error of the laser interferometer can be corrected in a high-precision manner, and the high-precision measurement of a large aircraft assembly site is realized.

The invention relates to the technical field of intelligent sensing systems, in particular to an algorithm and system for avoiding water surface floating objects and improving monitoring precision based on radar water level monitoring, and the method comprises the following steps: collecting radar echoes, constructing spatial-temporal characteristics based on waveform asymmetry and coherent attenuation gradient, and calculating the spatial-temporal characteristics; according to the method, the central moments of the front edge and the rear edge of the echo are calculated, the waveform asymmetry is quantified, the dynamic stability is analyzed in combination with the attenuation gradient of the multi-time-lag coherence coefficient, the floating object interference is recognized from the double dimensions of the spatial form and the time memorability, and the actual water level is inverted. An effective scattering trailing interval is positioned, nonlinear approximation operation is performed on trailing data in combination with an index physical model, a shielded water surface energy distribution curve is reconstructed, a derivative zero point is solved, distance measurement deviation caused by floating objects is corrected, the real water level height is effectively restored, and the monitoring anti-interference capability and the data accuracy in a complex hydrological environment are improved.

A radar system and a radar ranging method. The radar system comprises: a light emission assembly (100), which successively emits a plurality of groups of emitted light; a receiving end assembly (200), which receives reflected light after the emission light is reflected by a target object and converts the reflected light into a received electrical signal; a light scanning member (300); and a processor (600), which determines the distance to the target object according to the received electrical signal, and adjusts control parameters related to the received electrical signal and a detection field-of-view angle, such that the control parameters change according to a first preset rule starting from an emission start moment; or the detection field-of-view angle changes according to a second preset rule starting from the emission start moment.