2307 results about "Azimuth" patented technology

The invention discloses a high-feature-resolution underwater weak target parameter estimation method based on NOMP, and the method comprises the steps: obtaining a receiving array signal, carrying out the preprocessing of the receiving array signal, carrying out the azimuth angle estimation through employing a conventional beam forming algorithm, and extracting a beam output signal in a main target direction; rough search is carried out on discrete time delay and Doppler factor grids, initial parameters of a current most significant path are estimated, continuous optimization is carried out through a Newton iteration method, and optimized path parameters are obtained; constructing a continuous path echo signal according to the received signal, deducting the contribution of the current path to the received signal from the received signal, updating a residual signal, and continuously searching the next path by taking the residual signal as a new input signal until an iteration termination condition is met; and outputting parameter estimation results of all paths. According to the method, high-precision and high-resolution extraction of weak target parameters can be realized in an environment with a low signal-to-noise ratio and remarkable underwater multipath interference.

The invention relates to the technical field of man-machine interaction, in particular to a multi-user-based ring pairing and left and right hand judgment method and system and a medium, and the method comprises the steps: firstly collecting azimuth angles, distances and historical tracks of a plurality of rings, and clustering the azimuth angles, the distances and the historical tracks into different user clusters; shoulder breadth geometric constraint, posture consistency, micro-motion synchronism and historical prior are fused in the cluster, paired scores are calculated, and paired rings are identified by using a greedy strategy; and then, calculating a judgment score to distinguish the left hand and the right hand by counting the rotation deviation of the angular velocity of the gyroscope on the horizontal plane projection and combining the spatial position score of the ring relative to the human body center line with the historical consistency. A steady-state mode and an event-driven wake-up mechanism are also introduced to balance power consumption. According to the invention, through multi-modal fusion, automatic ring pairing and accurate left and right hand judgment are realized.

The invention relates to the technical field of bionic navigation orientation and positioning, in particular to a carrier course angle measuring method based on polarized light imaging in a non-Rayleigh atmosphere. Comprising the steps of real-time sky polarized light imaging, atmospheric polarization mode resolving based on Mueller matrix imaging, non-Rayleigh polarization information interference removal, polarization orientation resolving based on Rayleigh scattering, space projection conversion and sun position information resolving. Alignment information of the sun in a carrier coordinate system is obtained by utilizing a Rayleigh scattering model and actual sky polarization imaging, and then a carrier course angle is obtained according to the orientation of the sun in a local geographic coordinate system, so that an orientation function is realized; meanwhile, the error influence caused by image registration and time-sharing rotation measurement of the multi-view-field polarization detector and the interference of environmental factors on a single point are avoided, the method can adapt to sunny and cloudy weather, is also applicable to cloudy and other non-Rayleigh weather, and is wide in application range.

The invention discloses an SAR image orientation sensitive target detection method based on sub-aperture image saturation characteristics, and belongs to the technical field of synthetic aperture radar image target detection. The azimuth sensitive target detection is realized through the following steps: 1) sub-aperture image generation: dividing an azimuth frequency spectrum into a plurality of sub-bands, and generating a plurality of sub-aperture images through inverse Fourier transform; 2) color synthesis and feature extraction: allocating different hues to each sub-aperture image by using an HSV color space, synthesizing an RGB color image, converting the RGB color image to the HSV color space, and extracting a saturation channel in the RGB color space as an azimuth sensitivity feature map; and 3) target detection: carrying out threshold segmentation on the saturation feature map, and identifying a pixel region with a high saturation value, namely, an orientation sensitive target. According to the method, the color saturation change caused by the scattering difference of the target in different sub-apertures is utilized, effective detection of azimuth sensitive targets such as artificial buildings and vehicles is achieved, and the method has the advantages of being simple in calculation and high in robustness.

The invention discloses a low-profile dual-circularly polarized wave beam scanning folding reflection array antenna. The low-profile dual-circularly polarized wave beam scanning folding reflective array antenna comprises a lower reflective array antenna and an upper circularly polarized selection metasurface. A circular polarization plane feed source is integrated in the middle of the reflective array antenna, and beam deflection is achieved. The circular polarization selection metasurface introduces opposite phase gradients to a left-hand circular polarization wave beam and a right-hand circular polarization wave beam through spin decoupling, and then introduces opposite wave beam deflection angles. Meanwhile, due to the polarization selection function of the circular polarization selection metasurface, the profile height of the antenna is half of the focal length of a traditional reflective array. By rotating the lower-layer reflective array antenna and the upper-layer circular polarization selection metasurface, the antenna can realize simultaneous + / -42-degree pitch angle scanning and 360-degree azimuth angle scanning of left-hand circular polarization and right-hand circular polarization dual beams, and the aperture efficiency, the axial ratio, the scanning loss and other performances are good. The low-profile dual-circularly-polarized wave beam scanning folding reflection array antenna provided by the invention can realize simultaneous scanning of two circularly-polarized wave beams, and is low in profile, compact in structure, low in cost and novel in function.

The invention relates to an electrochromic window multi-scene control method, system and device based on indoor human body thermal comfort and a medium. The method comprises the steps that a perception data set is constructed; based on the sensing data set, performing multi-parameter coupling calculation of solar incidence azimuth deviation constraint and dynamic projection overlapping to obtain a direct radiation component, performing window space coupling analysis and double space compensation calculation to obtain a scattered radiation component, and performing fusion to obtain an individual thermal radiation influence value; determining a scene category based on the perception data set, and establishing a thermal radiation evaluation benchmark by adopting a mode matched with the scene category; and if the thermal radiation evaluation benchmark exceeds a preset threshold value, the required transmissivity of the window faces is obtained through a full-transmissivity radiation distribution method, the corresponding window faces are adjusted to the target transmission gradient according to the required transmissivity, and coupling control over the wind direction and / or power of the air conditioning system is selectively triggered. According to the invention, by constructing a multi-dimensional dynamic sensing system and an intelligent control framework, collaborative optimization of human body thermal comfort and building energy efficiency is realized.

The invention belongs to the crossing field of information and ocean science and technology, and discloses a DOA estimation method for a UUV broadside parallel co-prime array. According to the method, firstly, a virtual extension array is generated by utilizing an array auto-covariance and cross-covariance matrix, then, Toeplitz completion is carried out on'holes' in the virtual array through trace norm regularization and nuclear norm regularization constraints, a complete covariance structure is recovered, and finally, an extension matrix is constructed, and rotation invariance of a signal subspace of the extension matrix is utilized, so that the covariance structure of the virtual array is obtained. The pitch angle and the azimuth angle of the target are jointly solved, automatic angle pairing is achieved, and the effectiveness and the reliability of the method are verified through simulation results. According to the method, aiming at the application challenges that the UUV broadside array space is limited and the underwater environment is complex, all virtual array elements of the broadside parallel co-prime array are fully utilized, the array freedom degree and estimation precision are remarkably improved, the target detection capacity of the UUV is effectively enhanced, and the method has high practical engineering application value.

The invention relates to a multi-modal perception fusion target following method and system. The method comprises the following steps: adopting an improved KCF algorithm to realize a closed-loop process of target tracking, multi-scale space construction, feature fusion, response calculation, optimal scale decision and model updating; designing a four-level shielding processing mechanism fusing motion prediction and depth verification, and realizing tracking recovery in a shielding scene through shielding judgment, motion prediction, fine search and template protection; constructing a target distance mapping function fusing geometric distortion correction and attitude compensation, and realizing high-precision distance estimation based on monocular vision; laser radar point cloud information is integrated, an obstacle threat degree model is constructed, and cooperative path planning of following and obstacle avoidance is realized in combination with an improved TEB algorithm; and designing a linear velocity control law and an angular velocity control law based on the distance deviation and the azimuth angle deviation, and driving the robot to complete target following motion. According to the invention, high-precision and robust following of the robot to the target can be realized.

The invention discloses a laser wireless energy transmission system based on a vertical tracking structure and double-stage global optimization and a control method, and belongs to the technical field of photoelectric energy conversion and intelligent control. Aiming at the technical bottlenecks of high reflection loss of a photovoltaic array and MPPT failure caused by multi-peak characteristics due to non-uniform irradiation in the existing laser wireless transmission system, the invention provides three innovations: (1) designing a two-degree-of-freedom vertical tracking type photovoltaic array, and adjusting the pitch angle and azimuth angle of a photovoltaic panel in real time through a servo motor driving holder; a silicon nitride anti-reflection coating (the refractive index is smaller than or equal to 1.8) and a laser positioning sensor are combined to construct an incident angle deviation dynamic compensation model, and the reflection loss rate is reduced to be lower than 5%; (2) putting forward a global MPPT dual-stage optimization algorithm, dividing a voltage interval based on irradiation non-uniformity in a coarse positioning stage and generating an optimal candidate solution, and adopting an improved particle swarm algorithm (introducing an inertia weight dynamic adjustment mechanism and a local extreme value escape strategy) in a fine search stage to realize that the global maximum power point tracking precision reaches 99.2% in a multi-peak scene; and (3) establishing a reflection loss-power coupling control model, and solving the problems of tracking delay and energy oscillation of a traditional system through angle adjustment of the photovoltaic panel and closed-loop feedback of MPPT (Maximum Power Point Tracking) output. Compared with the prior art, the comprehensive efficiency of the system is improved by 18.6% under the dynamic irradiation condition, and the system is suitable for space laser power supply and mobile equipment wireless charging scenes.

The invention relates to the technical field of autonomous navigation of unmanned cleaning trolleys, in particular to a robot autonomous navigation coordination control method and system based on an ST-TD3 strategy. The training action decision model generates actions based on the current state of the unmanned cleaning trolley, and the unmanned cleaning trolley executes the actions to adjust the speed and the yaw angle; the state comprises an environment depth characteristic and an obstacle density characteristic of an environment where the unmanned cleaning trolley is located, and a relative distance and a relative azimuth angle between the unmanned cleaning trolley and the target point; environment depth features and obstacle density features are extracted based on depth image features acquired by an unmanned cleaning trolley; the actions comprise linear velocity and angular velocity, the linear velocity and the angular velocity respectively meet the linear velocity maximum value constraint and the angular velocity maximum value constraint of the unmanned cleaning trolley, and the angular velocity represents the deflection direction through positive and negative values. The unmanned cleaning trolley can efficiently, safely and stably run in a complex cabin environment.

The invention provides an electron irradiation dose on-line measurement and feedback calibration system and method, and relates to the technical field of automation control, and the system comprises a processing module which is used for converting an original dose signal into a five-path digital reading sequence, carrying out the timestamp alignment and space coordinate calibration of the five-path digital reading sequence, and outputting a calibration result; generating a three-dimensional discrete coordinate data set representing radiation field intensity space distribution; and the extraction module is used for identifying a radiation intensity global maximum value point from the three-dimensional discrete coordinate data set as a spatial registration origin, extracting two feature straight lines representing a radiation scattering dominant direction, and calculating a spatial orientation included angle between the two feature straight lines to determine a radiation scattering main influence area. According to the invention, precise processing of an original dose signal, scientific positioning of a radiation influence area and construction of a dynamic compensation model are realized through cooperation of multiple modules, a high-confidence dose value can be output, feedback calibration is completed based on a time sequence drift trend, and the precision and reliability of on-line measurement of the electron radiation dose are effectively guaranteed.

The invention relates to an AR (Augmented Reality) space true north calibration method, device and equipment and a medium. The method comprises the following steps: acquiring fixed solution positioning data in a moving process by utilizing RTK (Real-Time Kinematic) equipment; based on the fixed solution positioning data, selecting a first positioning point and a second positioning point, calculating a coordinate azimuth angle between the two positioning points by using Gaussian positive and negative calculation, and calculating a meridian convergence angle at the first positioning point; calculating an included angle between a connecting line of the first positioning point and the second positioning point and the true north direction based on the coordinate azimuth angle and the meridian convergence angle to obtain a geographic true north direction angle; and continuously monitoring data of a gyroscope of the RTK equipment and a gyroscope on the AR running equipment, and dynamically adjusting the true north direction angle in the AR space by adopting a double-loop control structure based on the geographic true north direction angle, so as to ensure that the AR space is consistent with the true geographic direction. Compared with the prior art, the method has the advantages that the AR space direction precision is improved from + / -5 degrees to + / -0.1 degrees, and the surveying and mapping standard is achieved.

The invention relates to the field of array signal processing, and particularly discloses a DOA joint estimation method based on a quaternion polarization sensitive array. Electromagnetic wave dual polarization components are captured through the orthogonal dipole and the loop antenna, and a quaternion observation matrix is constructed; calculating a quaternion covariance matrix by adopting a sliding window mechanism, and separating a signal / noise subspace by adopting quaternion singular value decomposition; and constructing a spatial spectrum function in combination with a quaternion steering vector, and realizing joint estimation of an azimuth angle and a pitch angle through two-dimensional search. According to the method, the unified characterization capability of quaternions on polarization-airspace information is fully utilized, and the DOA estimation precision and the anti-interference performance of the multi-polarization signal are remarkably improved.

The embodiment of the invention provides a load balancing control method of a variable pitch system, which comprises the following steps of: continuously acquiring blade root bending moment and rotor azimuth angle signals, accurately preprocessing to obtain 1P harmonic information of bending moment in a flapping direction, and updating accumulated wear conditions of each blade under different azimuth angles in real time based on the 1P harmonic information. According to the method, a dynamic abrasion map is established, the active balance variable pitch offset is actively calculated based on the abrasion map, the load is intelligently guided from a heavily-abraded area to a lightly-abraded area, and a refined blade variable pitch angle is finally formed in combination with traditional IPC correction and a collective variable pitch instruction. In this way, key components such as the variable pitch bearing are prevented from bearing overhigh local stress for a long time in a specific azimuth angle, uniform abrasion of rolling bodies or raceways is achieved, and therefore local fatigue damage is remarkably reduced, and the service life of the variable pitch bearing of the wind generating set and the service life of related components are prolonged.

The invention discloses a vector hydrophone array orientation estimation method for performing tensor decomposition by using a propagation operator, relates to the technical field of vector hydrophone array orientation estimation, and discloses a vector hydrophone array orientation estimation method for performing tensor decomposition by using a propagation operator. The method comprises the following steps: firstly, constructing a three-dimensional array manifold tensor composed of an array direction matrix and a vector hydrophone output matrix; respectively expanding received signal tensors according to three modes, solving a propagation operator based on a column block covariance matrix, constructing a normalized signal subspace, establishing a spatial spectrum function with a noise subspace, and obtaining a pitch angle and an azimuth angle of a sound source through spectrum peak search; according to the method, high-order singular value decomposition is avoided, the operand is greatly reduced, meanwhile, high resolution and low sidelobe direction finding performance are kept, and the method is suitable for a real-time underwater acoustic direction finding system of a ship-borne platform, a buoy platform and an unmanned platform.

The invention discloses a tunnel cross-sectional image analysis method based on image processing, and aims to solve the problems that a surface image is not clear in correspondence with a transient seismic wave method, a geological radar and a resistivity imaging section space, and anomalies at a certain distance in front are difficult to map to a tunnel face. According to the method, anisotropic reforming is carried out by adopting a Fourier neural operator, cross-modal Transform registration of a micro attention mask based on sector geometry, curve mileage and section polar coordinate position coding is combined, analytic geometry mapping and uncertainty propagation are matched, tunnel face structure traces and water seepage texture evidences are fused, and the tunnel face structure traces and the water seepage texture evidences are combined. The technical effects of accurate positioning of abnormity on the tunnel face, position confidence range estimation, risk grading early warning, stripe artifact suppression, abnormal boundary reservation and output of structured results of mileage stake numbers, azimuth angles, distance intervals and the like are achieved.

The invention discloses a global tracking and adjusting platform of a total station, and belongs to the technical field of automatic control of measuring equipment. Comprising a translation table, a lifting table, an automatic leveling mechanism, a horizontal rotating structure and a pitching rotating mechanism which are sequentially connected from bottom to top, and a comprehensive control system for controlling the mechanisms to cooperatively operate; the translation platform is fixedly mounted on the tripod; a total station is mounted on the automatic leveling mechanism; according to the global tracking and adjusting platform for the total station, through cooperative operation of the translation platform, the lifting platform, the automatic leveling mechanism, the horizontal rotating structure and the pitching rotating mechanism and in combination with a closed-loop control strategy of a comprehensive control system, automatic leveling and transverse and vertical displacement adjustment of the total station and remote precise control over the azimuth angle and the pitching angle of an eyepiece are achieved; and the eyepiece of the total station is quickly aligned with the center of the target, so that the measurement preparation efficiency and precision are greatly improved.

The invention relates to a coarse-fine integrated pointing mechanism for optical communication, and belongs to the field of optical communication equipment. The problems that in the prior art, a coarse pointing mechanism and a fine pointing mechanism are separated, so that the size is large, and cooperative work efficiency is low are mainly solved. The technical scheme is characterized in that the coarse pointing function and the fine pointing function are integrated into a single compact structure, large-range coarse adjustment around an azimuth axis y1 is achieved through a rotary table on a base, and high-precision fine adjustment around a pitch axis x2 and an azimuth axis y2 is achieved through a reflector supporting frame and a reflector on a mounting piece; the first motor, the second motor and the third motor respectively drive; full-state sensing is performed through a multi-axis angle sensor, a light beam position detector and a temperature monitoring module; and the controller performs real-time thermal error feedforward compensation on the driving instruction of the fine pointing motor according to the temperature monitoring data and a pre-stored thermal deformation compensation model. The mechanism is mainly used in a free space optical communication system, and realizes rapid capture, high-precision alignment and stable tracking of light beams.

The invention relates to the technical field of inclination measurement coordinate correction, in particular to a multi-sensor fusion inclination measurement coordinate correction method. According to the inclination measurement coordinate correction method based on multi-sensor fusion, the forced constraint in the direction of the centering rod is eliminated fundamentally, so that a measurer can place the centering rod at will, tedious alignment operation is not needed, the operation difficulty is remarkably reduced, and the measurement efficiency and precision are improved; therefore, the correction method has better convenience and wider adaptability. Measurement data of the magnetometer and the gyroscope are calculated in a fusion mode through a Kalman filtering algorithm in the processing unit, the short-term high precision of the gyroscope and the long-term stability of the magnetometer are fully utilized, noise and instantaneous interference are effectively restrained, the high-precision true north azimuth angle is directly output, the limitation of a simple average method is avoided, and the real north azimuth angle is obtained. According to the correction method, the overall measurement precision and the system robustness are remarkably improved, so that the correction precision of the coordinates of the target point location is greatly improved.

The invention relates to the technical field of computer vision, in particular to a three-dimensional reconstruction method and device based on optical polarization and stereoscopic vision principles. The three-dimensional reconstruction method sequentially comprises the steps of image preprocessing, polarization parameter extraction, binocular stereo matching, disparity map generation and optimization, normal vector correction, depth information fusion and three-dimensional point cloud reconstruction and modeling generation. A polarization normal vector field is constrained and corrected as a'skeleton ', and the azimuth angle pi ambiguity problem which puzzles polarization three-dimensional reconstruction for a long time is solved; high-frequency surface normal details contained in corrected polarization information are used as textures to enhance and fill up depth information loss of binocular vision in weak texture and repeated texture areas, the inherent limitation of a single sensing technology in a three-dimensional reconstruction task is overcome, and the three-dimensional reconstruction of the surface of an object, especially a diffuse reflection object, is realized. And high-precision and high-integrity three-dimensional shape recovery is realized.

The invention discloses a multi-source sensing data fused rotary excavating hole-forming verticality online monitoring system and method, and the system comprises a drill bit inclination angle monitoring device which collects and stores the roll angle and the pitch angle of a drill bit, and transmits the roll angle and the pitch angle to a cloud server; the drill rod rotation angle monitoring device collects the rotation angle of the drill rod relative to the machine body and transmits the rotation angle to the drill bit azimuth angle resolving unit; the fuselage attitude monitoring device collects a roll angle, a pitch angle and an azimuth angle of the fuselage and transmits the roll angle, the pitch angle and the azimuth angle to the drill bit azimuth angle resolving unit; the drill azimuth angle resolving unit is used for calculating a drill azimuth angle and transmitting the drill azimuth angle to the cloud server; the cloud server calculates the track of the drill bit and the perpendicularity of the formed hole by combining the formed hole depth and the drill bit position data provided by the rotary drilling rig; and the visual terminal displays the track of the drill bit and the perpendicularity of the formed hole by accessing the cloud server. According to the invention, real-time monitoring of the perpendicularity of the formed hole can be realized, and the construction efficiency and quality of the rotary drilling hole are improved.

The invention belongs to the technical field of crossing of information and ocean science and technology, and discloses a UUV broadside parallel array covariance weighted fusion DOA estimation method. The method comprises the following steps: firstly, calculating auto-covariance and cross-covariance matrixes of two sub-arrays, carrying out weighted fusion on covariance matrixes of different sources through differential common-array expansion of a virtual aperture, then reconstructing a complete covariance matrix by respectively adopting a convex optimization method of trace regularization and nuclear norm regularization according to the characteristics of the fused matrix, and finally, carrying out weighted fusion on the covariance matrixes of different sources. The pitch angle and the azimuth angle of the target are jointly estimated by performing subspace decomposition on the constructed extension matrix, and the effectiveness of the method is verified by a simulation result. According to the method, the precision of parameter estimation is improved through data fusion, the degree of freedom is remarkably improved under a small number of physical array elements, high-precision azimuth estimation of the UUV on multiple targets in the underwater environment is achieved, the target detection capacity of the UUV is enhanced, and the method has high engineering application value.

The invention provides an underwater target detection system and method for an AUV-carried synthetic aperture sonar, and belongs to the technical field of underwater acoustic detection. The method comprises the following steps: transmitting an ultra-wideband sound wave signal to an underwater target, and collecting an echo signal by using receiving array elements which are non-uniformly and sparsely arranged along a track direction; preprocessing the echoes and decomposing the echoes into a plurality of non-overlapping sub-band signals, obtaining an equivalent space response by calculating inter-channel phase differences under each sub-band, and further constructing a joint observation matrix; and high-resolution azimuth scattering intensity distribution is recovered in combination with compressed sensing, and motion compensation is performed by using platform motion data to realize underwater imaging. According to the invention, the dependence of the traditional synthetic aperture technology on long-distance uniform-speed motion is broken through, and high-resolution and high-precision underwater target detection and imaging can still be realized under the condition of high-speed navigation of an AUV (Autonomous Underwater Vehicle).

The invention belongs to the technical field of phased array radar intermediate frequency simulation, and discloses an intermediate frequency simulation method of a phased array radar, which comprises the following steps: carrying out time sequence anti-interference stabilization processing on beam scheduling information output by the phased array radar in real time to obtain a stable scheduling signal; performing domain division signal feature analysis of a beam pointing domain, a target trajectory domain and a resource allocation domain to obtain a sum path signal parameter, an azimuth difference path signal parameter and a pitch difference path signal parameter; performing coupling relevance verification according to the sum-path signal parameters and the actually measured echo data to obtain an operation abnormity judgment result; when the operation abnormity judgment result indicates that the intermediate frequency injection signal has a fault, performing signal track replacement compensation processing based on the azimuth difference path signal parameter and the pitch difference path signal parameter to obtain a target intermediate frequency simulation signal; performing radar tracking and search mode optimization, and outputting a phased array radar beam control instruction; and the tracking precision of the phased array radar on a complex tracking scene is improved.

The invention relates to a measurement precision correction method for a digital geological compass. The method comprises the following steps: determining the magnetic field stability of a target position according to the difference between total magnetic field intensities in a first interval; determining a magnetic field interference coefficient at the moment according to a difference value between the total magnetic field intensity at each moment and the total magnetic field intensity at the target moment; determining the integrating degree of the point source model at the previous moment according to the difference between the magnetic field interference coefficients at each adjacent moment and the duration of the interval between each adjacent moment and the initial moment; determining a target duration according to the magnetic field interference coefficient in the second interval and the duration of the interval between each moment and the initial moment, and correcting the magnetic field data of each axis of the compass according to the target duration and the difference between the magnetic field data of each axis at the target moment and the magnetic field data of the axis in the first interval; and carrying out azimuth calibration on the compass according to the corrected magnetic field data of each axis and the longitude and latitude of the target position. The method can improve the accuracy of geological survey.

An encoding method includes: obtaining original point cloud data; obtaining depth information of a point cloud based on the original point cloud data; establishing a relationship between the depth information and azimuth information of the point cloud; and predictively encoding the azimuth information of the point cloud by using the relationship between the depth information and the azimuth information of the point cloud, to obtain coded stream information.

The invention discloses an azimuth gamma testing device and application, and belongs to the technical field of oil and gas logging equipment, the testing device comprises a PC, a rotating table, a rotating table motor, a motor driver, a rotating speed operator, a conductive slip ring and a stabilized voltage supply, the rotating table is sleeved with a rotating disc, and the rotating disc is fixedly connected with a laser; a dial is fixedly connected to the outer circumference of the rotating disc, one end of the rotating table is connected with the rotating table motor, the other end of the rotating table is connected with the conductive slip ring, the conductive slip ring is electrically connected with the azimuth gamma instrument to be measured, the azimuth gamma instrument to be measured is electrically connected with the stabilized voltage supply and the PC, and the rotating speed operator is electrically connected with the motor driver. The motor driver is connected with the rotary table motor, a photoelectric sensor is fixedly connected to the rotary table, and the photoelectric sensor is electrically connected with the azimuth gamma instrument to be detected. According to the invention, double evaluation of the azimuth measurement precision and the pulse counting time correctness of the azimuth gamma instrument can be accurately checked.

The invention discloses a cabin type laser radar wind field detection method and system based on multi-beam expansion. The cabin type laser radar wind field detection method and system are low in cost, high in sampling density, small in fitting error and high in measurement precision. The method comprises the following steps: transmitting a plurality of groups of uniformly distributed radial detection wave beams through a cabin type wind measurement laser radar, and carrying out omnibearing scanning on a target wind field; collecting radial wind speed observation data of each group of beams, performing nonlinear fitting processing on the observation data based on a cosine fitting model, and determining a mapping relation between fitting parameters and azimuth angles; the real wind speed and wind direction of the target wind field are calculated through the fitting model; the system comprises a transmitting module (1), a receiving module (2), a fitting calculation module (3) and an output module (4). The method is applied to the technical field of wind measurement laser radars.

The invention provides an AIS position information detection method and device, equipment and a medium, is used for the technical field of ship detection, and can solve the problem of low accuracy of existing AIS information detection. Comprising the following steps: receiving AIS position information, and determining a first azimuth angle corresponding to the AIS position information according to a target position coordinate and a ship coordinate in the AIS position information; determining phases and amplitudes corresponding to the AIS signals according to the signal receiving equipment and the AIS signals corresponding to the multiple pieces of AIS position information in the preset time period, and calculating a second azimuth angle corresponding to the AIS position information according to the phases and the amplitudes; determining a deviation angle between the first azimuth angle and the second azimuth angle, and comparing the deviation angle with a preset angle threshold value to obtain a comparison result; determining a detection result corresponding to the AIS position signal according to a comparison result; therefore, the detection accuracy of the AIS position information is improved.

The invention provides a near-field electromagnetic source positioning method based on array signal processing, and relates to the technical field of electromagnetic signal detection and positioning, and the method comprises the steps: constructing an array receiving signal model based on the wave-front characteristics of an electromagnetic wave spherical surface, and employing a steering vector for the construction; a sensor array is used for collecting near-field radiation source signals, and amplitude calibration processing is carried out on the near-field radiation source signals to form an array data set. According to the near-field electromagnetic source positioning method based on array signal processing, high-precision three-dimensional positioning of a near-field electromagnetic source is realized by combining amplitude calibration, characteristic decomposition and joint optimization processing through an array receiving signal model based on electromagnetic wave spherical wavefront characteristics. According to the near-field electromagnetic source positioning method based on array signal processing, a multi-dimensional optimization strategy is introduced in the signal subspace extraction and parameter estimation process, the estimation precision of the distance, the pitch angle and the azimuth angle is improved, and the positioning stability and robustness in a complex electromagnetic environment are improved.