36 results about "Interference distribution" patented technology

The invention discloses a weld quality intelligent diagnosis system based on deep learning, and relates to the technical field of welding quality detection, and the weld quality intelligent diagnosis system comprises an image quality evaluation module, a feature alignment module, a deviation detection module, a path reconstruction module, a prior enhancement module and a defect identification module, identifying an area of which the signal-to-noise ratio is lower than a preset threshold value, and constructing a noise interference distribution diagram; and the feature alignment module executes a deformable convolution feature alignment operation with a confidence factor adjustment mechanism based on the noise interference distribution diagram to generate an initial space mapping result. Through mechanisms such as image quality perception, robust alignment, deviation detection, self-adaptive reconstruction and prior enhancement, a closed-loop weld joint intelligent diagnosis process is constructed, false alignment errors are effectively inhibited, the multi-modal fusion stability and the defect recognition precision are improved, and the reliability and the intelligent level of the system under complex working conditions are enhanced.

The invention relates to the technical field of electrical variable measurement, solves the technical problems that in the prior art, path planning is lack of dynamics, mechanical wear is caused by frequent acceleration and deceleration of a probe, and key features are easy to omit in a complex multi-path environment, and particularly relates to a method and system for coping with an antenna performance test and a storage medium. The method comprises the steps of collecting target test frequency point data and standard signal modulation data of a target antenna, and generating synchronous excitation signal data through multi-dimensional signal processing and synchronous adjustment. The sampling efficiency and the data quality are remarkably improved through multi-stage collaborative optimization, a sampling domain is primarily selected in combination with a theoretical directional diagram and interference distribution, and the synchronous excitation signal data are generated. The method has the advantages that invalid area measurement is avoided, learning is reinforced to dynamically plan a path to reduce mechanical loss, redundancy is reduced by refining point locations, data independence and coverage are ensured by weighted evaluation, adaptability in a dynamic channel environment is higher, and the method is particularly suitable for millimeter wave and other high-dimensional antenna test scenes.

The invention relates to the technical field of computer vision and industrial equipment fault diagnosis, in particular to a fault image diagnosis system for a remote controller of a bolter miner driven by a CMC chip. Comprising a data sensing module for synchronously acquiring a CMC chip internal logic state vector and a real-time observation image, and preprocessing to obtain target visual data; the generative reconstruction module maps the logic state vector to a high-dimensional space to generate an ideal feature map; the visual analysis module is used for extracting an observation feature map through a convolutional neural network, generating an interference distribution mask based on frequency domain texture statistics, and identifying an unstructured environmental noise region; the difference analysis module is used for calculating a semantic residual image by combining the ideal feature map, the observation feature map and the interference distribution mask, and generating an image difference analysis result; according to the method, ideal features are generated by using the internal logic state vector of the CMC, and the residual calculation of the coal dust noise area is shielded by the interference mask, so that the false alarm caused by the environmental noise is effectively eliminated, and the closed-loop verification that what you see is what you control is realized.

The invention provides a panel lamp light spot uniformity detection method and system and electronic equipment, and the method comprises the steps: analyzing the non-uniform characteristics of brightness gradient distribution according to the intensity and range information of a light spot region, carrying out the image processing of a projection image region, carrying out the quantitative evaluation of the brightness uniformity of a screen, and determining the specific region and degree data of the non-uniform brightness; if the dynamic influence range of the light interference exceeds a preset threshold value, meeting room layout adjustment and equipment position change are determined according to a light interference distribution diagram and equipment configuration parameters, the adjusted light distribution mode change is identified, and the detection priority is determined; according to the detection priority and the brightness deviation index, a brightness compensation method is adopted to carry out local correction on the specific area with the uneven brightness, and corrected brightness distribution data are obtained; and identifying the image definition index and the color rendition degree index after the brightness distribution is corrected, obtaining an area coverage proportion for clearly presenting the information, and judging whether the projection display effect reaches a preset definition standard value or not.

The invention relates to the technical field of sensor network chips, and discloses a gas safety monitoring method and system based on multi-sensor fusion, and the method comprises the steps: obtaining mixed signal data, carrying out the decomposition and recognition of the mixed signal data, extracting interference components, and carrying out the filtering, and obtaining a preliminary filtering signal; executing time-frequency analysis to construct a two-dimensional time-frequency characteristic spectrum, identifying an interference area and evaluating interference intensity, and filtering to obtain a pure intermediate signal; constructing a multi-dimensional frequency feature set based on the signal, extracting an abnormal feature subset, and completing equipment mapping and clustering to obtain a marked component set; obtaining a time domain fragment, carrying out residual analysis to generate an interference distribution map, and extracting abnormal feature scores to form a risk score sequence; smoothing the sequence, constructing trend features and grading risk levels; and finally, mapping the alarm signal, carrying out coding verification and transmission, and outputting a final early warning. According to the method, accurate extraction and graded early warning of gas leakage signals in a complex interference environment can be realized.

A data transmission method and a communication apparatus. In a scenario in which communication symbols are used for performing sensing, for a plurality of different time-domain resource units, data carried on communication symbols used for performing sensing in each time-domain resource unit can be repeated in a time domain, and the manners in which data carried on communication symbols used for performing sensing in different time-domain resource units is repeated in the time domain are different. In other words, different communication data repetition manners are configured in different time-domain resource units, and said pieces of communication data (communication signals) are simultaneously used for performing sensing. In this way, interference influences (interference distributions) generated by other devices (e.g., other base stations) in different time-domain resource units are different, that is, different time-domain resource units correspond to different interference distributions, such that the interference influences of the other devices on the present communication device in networking can be effectively reduced, thereby improving the joint sensing performance of a plurality of time-domain resource units.

The invention discloses a region-centered unmanned aerial vehicle coverage rate analysis method. The method comprises the following steps: constructing a region-centered unmanned aerial vehicle cooperative transmission model; fractional power control is carried out on the service unmanned aerial vehicle and the interference unmanned aerial vehicle; calculating the signal-to-interference ratio of the typical user based on the transmitting power of the service unmanned aerial vehicle and the interference unmanned aerial vehicle; based on the stochastic geometry theory, the coverage probability of typical users is obtained through service distance distribution, signal power distribution and interference distribution in combination with a Cauchy-Schwarz inequality and Gamma distribution approximation; the unmanned aerial vehicle density, the power control coefficient, the path loss index and the Nakagami fading parameter are set, the influence of the number of different service unmanned aerial vehicles, the power control coefficient and the channel condition on the coverage probability is analyzed, and simulation verification is carried out. According to the method, the technical problem of how to suppress the network interference of the unmanned aerial vehicle through power control in a complex interference scene is solved, and the network coverage rate of the unmanned aerial vehicle is calculated.

The invention discloses a network optimization method, system and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring an environment signal of a network coverage area; wherein the environment signal is collected by the detection node and the sensing unit in real time; constructing an interference distribution matrix based on the environment signal; inputting the interference distribution matrix into a preset regulation and control algorithm, and calculating a real-time regulation and control parameter of each modulatable metasurface unit; according to the real-time regulation and control parameters, generating a first regulation and control instruction for the corresponding modulatable metasurface unit; and issuing the first regulation and control instruction to the corresponding modulatable metasurface unit, so that the modulatable metasurface unit adjusts the signal transmission characteristic based on the first regulation and control instruction. According to the embodiment of the invention, the signal interference can be perceived in real time, the metasurface regulation and control are more accurate, and the local decision-making efficiency is improved.

The application provides a multi-hole VCSL chip, a VCSL packaging structure and a preparation method thereof. A plurality of laser holes are formed in a single VCSL chip, and the hole spacing is large, so that the formed light beams can be more uniformly irradiated on a target object or surface, and a single VCSL chip can replace a plurality of conventional VCSL chips. Since normal power is adopted and the light beams emitted by the laser holes do not interfere with each other, the light beams are uniformly distributed, and the "red storm" phenomenon caused by the use of high-power VCSL chips in the conventional mode and the "burning screen" problem that may occur after long-term use can be effectively avoided. By controlling the number and arrangement mode of the laser holes, the packaging structure of the multi-hole VCSL chip has the same size as the conventional single VCSL packaging structure, and can achieve similar detection effects as the four VCSL packaging structures in the conventional mode. Compared with the conventional four-VCSEL structure, the size is reduced by 75%, the occupied space is significantly reduced, and the product miniaturization is facilitated.

This invention discloses a robust beamforming method based on interference plus noise covariance matrix reconstruction. The method includes: calculating the DOA (Directivity of Analysis) by using a priori known reference sequence of the desired signal and the received signal to calculate the cross-correlation vector, effectively suppressing unrelated interference and noise; selecting the main lobe sector boundary containing the desired signal and numerically integrating the Capon spatial power spectrum of the received signal within the spatial angle interval where pure interference and noise are located to reconstruct a pure interference plus noise covariance matrix, eliminating the influence of the desired signal component; and calculating the optimal weighting vector based on the cross-correlation vector and the reconstructed interference plus noise covariance matrix. This method can sense the spatial interference distribution and form deeper nulls in the interference direction, significantly improving the output signal-to-interference-plus-noise ratio and beamforming robustness of the array system.

The invention relates to the technical field of electrical testing, in particular to a forklift state monitoring method based on motor data in a strong interference environment, and the method comprises the steps: obtaining stator current and voltage signals of a forklift driving motor, recognizing waveform abrupt change, determining an interference section, calling a counter electromotive force signal to analyze flux linkage fluctuation, marking an unsynchronized time period, and generating flux linkage disturbance distribution. And monitoring controller output, comparing voltage and current wave crests to judge signal offset, monitoring torque power, analyzing power fluctuation division hierarchy, generating power interference distribution, joint power hierarchy, flux linkage disturbance and signal offset, judging stability, fluctuation or abnormity according to interference concentration and offset consistency, and generating a forklift operation monitoring result. According to the invention, through correlation analysis of current, voltage and counter electromotive force signal differences, a multi-layer coupling determination mechanism is constructed, synchronous identification tracking of signal abrupt change and energy disturbance is realized, transient interference and continuous offset are distinguished by using joint features, an abnormal trend is determined, and dynamic identification and evaluation reliability is enhanced.

The invention relates to the field of medical image processing, and discloses a medical image virtual simulation method and system based on digital twinning. The method comprises the following steps: acquiring original physiological data and carrying out sliding window time sequence sampling to obtain a preliminary physiological movement sequence; extracting position deviation characteristics from the preliminary physiological movement sequence to obtain a dynamic interference distribution matrix; abnormal fluctuation in the dynamic interference distribution matrix is detected, nonlinear supplementary interference samples are generated and fused, and an enhanced interference data field is obtained; performing superposition operation on standard nuclear magnetic imaging data by using the enhanced interference data field to obtain a preliminary simulation image sequence; extracting time dynamic features of the preliminary simulation image sequence and a real clinical artifact image, and comparing the time dynamic features to generate a feature difference chart; and according to the feature difference image, calculating an adaptive fusion weight and performing residual feature completion to obtain a final medical image simulation result. According to the method, high-fidelity reproduction and closed-loop optimization of the dynamic artifacts of the medical image are realized.

The application discloses a radar human behavior recognition method based on multi-domain feature fusion, and is applied to the problem that the existing human behavior recognition method based on a radar sensor and a deep learning technology only adopts the features of one domain or only adopts one time-frequency analysis method in a time-frequency domain, thereby causing insufficient expression of human behavior features; three time-frequency analysis methods with different time-frequency resolutions, namely, a short-time Fourier transform, an adaptive optimal kernel time-frequency representation method and a Hann kernel reduction cross-term interference distribution, are selected; three types of frequency spectrum diagrams are obtained; then, the three types of time-frequency spectrum diagrams are combined and used by using a SE Net and a 3DCNN network in the time-frequency domain, so that human behavior features are more fully expressed; in a distance domain, a key feature is extracted by using the SE Net; and the features of two domains are combined, the mutual relationship is found, and the recognition accuracy of human behaviors is effectively improved.

The application discloses a multi-antenna receiving beam forming method of GMSK frequency hopping signals, which comprises the following steps: based on a known GMSK training sequence and by an approximate maximum posterior probability method, accurately estimating a real direction of an expected signal, so as to effectively correct a mismatched direction vector; on this basis, further adopting a covariance matrix reconstruction technology, removing an expected signal component from a sampling covariance matrix, effectively suppressing the expected signal cancellation phenomenon, and being able to perceive a spatial interference distribution and form a relatively accurate null in the interference direction, and significantly improving the output signal-to-interference-and-noise ratio performance of the system.

The invention relates to the technical field of biomedical engineering, and discloses an electromyographic signal simulation display method and system, and the method comprises the steps: carrying out the channel analysis and synchronous verification of a mixed signal sequence, and constructing a shunt signal which retains the time sequence correlation; extracting envelope features of the signals and performing trend fitting correction to generate initial intensity distribution; constructing an interference distribution diagram based on cross-correlation analysis, and determining an intensity correction value by using adaptive filtering and residual analysis; carrying out reverse reconstruction on the signal in combination with a tissue impedance model, and restoring real muscle activity distribution; and finally, mapping the distribution data to a visual model, and generating a muscle activity image through interpolation and sharpening processing. According to the method, the problem of low visual image accuracy in the prior art can be solved.

The application provides an aviation magnetic exploration geological magnetic interference compensation method based on an improved Tolles Lawson equation, and comprises the following steps: obtaining a classical TL equation compensation coefficient; collecting original magnetic field data; pre-processing the original magnetic field data, compensating for platform, earth main magnetic field and daily variation interference, and obtaining in-line residual error; reconstructing an interference distribution map in a task area based on the in-line residual error; solving a geological interference term of the improved TL equation during task execution based on the interference distribution map; and using the improved Tolles Lawson equation instead of the classical Tolles Lawson equation in the compensation process, and completing compensation for the earth main magnetic field, daily variation interference, aircraft platform interference and geological interference in the compensation process. The technical scheme of the application can solve the technical problem that the geological interference signal is highly coincident with the target signal in the prior art, and thus is difficult to remove simply.

The invention relates to the technical field of communication, in particular to a distributed communication method and system for a low-altitude network. The invention discloses a distributed communication system for a low-altitude network. The distributed communication system comprises an observation vector acquisition module, an interference time sequence analysis module, a sub-band distribution module, an interference correction module and a reinforcement learning module. According to the method, an observation time sequence vector including an interference spectrum vector, a target statistical vector and a self-state vector is utilized, modeling is carried out on evolution of an electromagnetic environment and target distribution in a finite time window in combination with a time sequence analysis model, and a predicted interference distribution vector covering all sub-bands is output; the inductance node can actively avoid an interference sub-band to be deteriorated during sub-band power distribution, so that spectrum collision is reduced in a statistical sense, and the spectrum utilization efficiency and the communication reliability are improved; on the other hand, the pre-allocation result is exchanged among the nodes, a neighbor table containing neighbor position information and a sub-band power pre-allocation vector is maintained, and interference correction is carried out on the sub-band allocation network.

The invention relates to a millimeter wave beam forming precise regulation and control method, which relates to the technical field of millimeter wave wireless communication, and comprises the steps of system initialization and parameter configuration, core module initialization completion, node time synchronization and bidirectional identity authentication. Sensing a channel state and an interference environment, collecting channel parameters to identify an interference type, and generating a channel state matrix and an interference distribution map; multi-beam amplitude-phase weights are calculated, and accurate beam forming and rapid switching are completed; the beam forming effect is monitored in real time, and beam parameters are optimized in a dynamic closed-loop mode; and cooperatively scheduling multi-user time-frequency resources to complete data transmission and system state feedback. According to the method, the millimeter wave beam regulation and control precision and the anti-interference capability are greatly improved, the beam switching delay is compressed, the spectrum and beam resource utilization efficiency is optimized, the long-term stability of a communication link is ensured, and the application requirements of multi-scene millimeter wave communication are met.

The invention discloses a near-infrared image correction method and device, equipment and a storage medium. Comprising the following steps: acquiring each near-infrared image in an array test block printing process, and performing anomaly screening and effective image fusion on each near-infrared image to obtain a fused image; performing geometric correction on the fused image to obtain a standard image; and carrying out gray value calculation and curved surface fitting based on the standard image to obtain an intensity correction image, and correcting the near-infrared image according to the correction image. Through anomaly screening, abnormal data can be prevented from interfering correction, geometric deformation caused by camera inclination can be eliminated through correction, and edge invalid areas are eliminated; infrared intensity characteristic data of each test block can be extracted through gray value calculation, and discrete data can be converted into a continuous curved surface reflecting global interference distribution through curved surface fitting; and the near-infrared image is corrected according to the corrected image, so that the problem of non-uniform strength caused by fixed interference is counteracted, the real forming thermal state is restored, and the monitoring reliability of the near-infrared image is improved.

The invention belongs to the field of recognition research of geomagnetic table data, and particularly relates to a high-voltage direct-current interference distribution recognition method of geomagnetic observation data, which comprises the following steps: acquiring a Z component of original geomagnetic observation data, and performing low-pass filtering processing to obtain a preprocessing signal of the original geomagnetic observation data; performing signal square wave detection by using the preprocessed signal to obtain a square wave interference interval set; according to the square wave interference interval set, performing gradual change detection based on second-order polynomial fitting verification to obtain a gradual change interference interval set; obtaining a corresponding residual error according to the slowly-varying interference interval set, and carrying out square wave detection to obtain a composite interval set; and performing seismic wave inspection judgment by using the square wave interference interval set, the slowly varying interference interval set and the composite interval set to obtain a high-voltage DC interference distribution identification result, and identifying three types of interference through distribution cooperative processing, thereby effectively improving the quality and credibility of geomagnetic observation data.

The invention relates to the technical field of tunnel blasting, in particular to an evaluation and improvement method and system for a tunnel blasting effect, and the method comprises the following steps: obtaining a charging path included angle and an intersection trend, constructing an interference main direction structure diagram, extracting an included angle sudden change path section, identifying an interference distribution section, analyzing a crack track and stress deviation, and describing a crack propagation region. According to the method, the change of the included angle between the charging path and the main axis of the structure and the intersection direction are extracted to construct an interference main direction graphical representation, and the interference area is delimited by combining the path trend difference; drawing an induced propagation area by utilizing a crack track coincidence trend and stress conduction offset, extracting a feedback structure according to lagging representation in a rebound path, dividing interference types according to a structure extension direction and disturbance distribution relation, establishing a relation among a multi-dimensional angle, path offset and structure response, and determining the structure response. And the surrounding rock interference identification capability and the structure influence mastering depth are enhanced.

The invention relates to a wire harness shielding and connection optimization method in the field of new-generation information technology, and the method comprises the steps: collecting broadband interference data in a wire harness working environment, carrying out the classification processing and feature extraction of different frequency band interferences, and obtaining an interference distribution model of each frequency band; dynamically adjusting shielding structure parameters according to the interference distribution model, enhancing shielding layer density distribution at a high frequency band, and determining optimized shielding structure parameters; if the signal integrity data does not reach a preset signal quality threshold value, performing iterative adjustment on a shielding structure to obtain an updated shielding optimization scheme; performing a multi-scene simulation test on the shielding optimization scheme to determine a final shielding optimization scheme; collecting vibration damage degree and corrosion acceleration data of a wire harness connection part, and analyzing the damage trend of a connection terminal to obtain contact stability risk distribution; and according to the contact stability risk distribution, adjusting terminal anti-corrosion coating parameters to obtain optimized connection design data.

The application discloses a wireless communication battery management system based on intelligent dynamic power adjustment and relates to the field of wireless communication networks. 、 Decision module 、 Battery management module 、 Control module and intelligent dynamic power adjustment module; the interference detection module adopts a real-time spectrum analysis technology to detect interference signals in a vehicle networking frequency band, acquires type, intensity and three-dimensional spatial distribution information of the interference signals, generates an interference signal information data structure and sends the interference signal information data structure to the data processing module. The interference detection module of the application can accurately identify the type of the interference signals by means of an interference feature library defined according to the IEEE 802.11p standard, and simultaneously acquires three-dimensional coordinates of the interference source by using a triangular positioning method, which provides accurate interference distribution information for dynamic power adjustment, improves the same-frequency interference coordination efficiency in a dense network, effectively reduces the influence of the interference on communication and guarantees the stability of the communication.

The invention discloses a communication fault detection method and system, and relates to the technical field of communication network, and the method comprises the steps: multi-band signal and frequency spectrum state monitoring: employing a multi-band receiving device and a frequency spectrum monitoring device, real-time sampling analysis of multi-band communication signals and acquisition of communication band occupation, signal intensity and interference distribution spectrum state information are realized respectively; by monitoring dynamic information of communication frequency bands in real time, comprehensively mastering multi-frequency-band signal characteristics and applying an intelligent algorithm to dynamically and optimally distribute frequency spectrum resources, cooperative processing of multi-frequency-band data is achieved, the defects of a traditional fixed frequency spectrum detection mode are effectively overcome, the accuracy, reliability and detection efficiency of communication fault detection are remarkably improved, and the method is suitable for large-scale popularization and application. An efficient and intelligent solution is provided for communication fault detection in a complex communication environment, and development and progress of a communication network fault detection technology are powerfully promoted.

The invention relates to the technical field of intelligent animal husbandry, and discloses a sheep farm robot path planning method and system based on an ant colony algorithm, and the method comprises the steps: collecting sheep farm environment data and sheep flock position distribution in real time through a sensor array, and recognizing a dynamic obstacle contour through an image segmentation technology; generating an environment interference distribution diagram based on the sheep flock moving speed and obstacle distribution, and determining an interference area boundary through gridding processing; performing global path search by adopting an ant colony algorithm to generate an initial navigation path, and predicting a potential conflict area in combination with laser radar data; a path turning point is corrected in real time through dynamic obstacle recognition, and the advancing speed is adjusted in a self-adaptive mode according to the environment interference intensity; in the execution process, path deviation is continuously detected, a local path is adjusted, and meanwhile environment change is recorded to dynamically update a navigation scheme. The method can solve the problem of poor robot navigation adaptability in the prior art.

The invention relates to the technical field of numerical control systems and automatic control, and particularly discloses a profile machining control system based on visual guidance of a profiling machine, workpiece surface data are synchronously obtained through three-dimensional scanning and multispectral imaging, an interference distribution diagram is generated by combining spectral feature analysis, and precise recognition and spatial registration of heterogeneous media such as oil films and cuttings are achieved. Credibility evaluation and optimization are carried out on the point cloud based on interference information, the data quality is improved, a high-precision workpiece surface model is reconstructed through deep learning assistance, and a self-adaptive numerical control machining path is generated; the system further integrates closed-loop cleaning control, intelligent decision is made according to interference characteristics, fixed-point cleaning is executed, and full-process automation is achieved. The problems of measurement distortion and machining precision reduction caused by complex surface interference are effectively solved, and the intelligent level and machining reliability of numerical control machining are improved.

The invention discloses a wireless passive distributed strain monitoring system and method for a key structural member of a tower crane, the system comprises a remote monitoring system and a sensing node, and the remote monitoring system and the sensing node construct a distributed monitoring network through LoRa communication; the remote monitoring system comprises a master control end and a first LoRa module and is responsible for instruction sending, data receiving and analysis early warning; the sensing node is composed of an acquisition module and a plurality of sensor modules, the acquisition module communicates through a LoRa module and generates a full-band radio frequency signal for the sensor modules to work, the sensor modules are of a passive structure, a distributed sensing unit is adopted to realize large-range strain monitoring, and the working bands of the sensor modules under the same node are different. And one-to-many synchronous monitoring is supported. The system solves the problems of difficulty in wired wiring, high maintenance cost of active sensors and low monitoring efficiency in the prior art, has the advantages of being passive, wireless, long-distance in interference resistance, distributed in coverage, convenient to install and maintain and the like, and can guarantee the construction safety of the tower crane.

According to the data transmission method and the communication device, in a scene of sensing by using communication symbols, for a plurality of different time domain resource units, data borne on the communication symbols used for sensing in each time domain resource unit can be repeated on the time domain, and the time domain resource units are not influenced. The repetition modes of the data borne on the communication symbols for sensing in different time domain resource units in the time domain are different. In other words, different communication data repetition modes are configured in different time domain resource units, and the communication data (communication signals) are used for perception at the same time. Through the mode, interference influences (interference distributions) generated by other equipment (such as other base stations) in different time domain resource units are different, namely, different time domain resource units correspond to different interference distributions, so that the interference influences of other equipment on the communication equipment under networking can be effectively reduced, and the communication efficiency is improved. Therefore, the joint sensing performance of the plurality of time domain resource units is improved.

The invention relates to the technical field of radio frequency interference suppression, in particular to an anti-electromagnetic interference method and system for vehicle-mounted radio frequency equipment, and the method comprises the following steps: recognizing frequency band coincidence interference based on a time sequence of a vehicle-mounted radio frequency antenna and an electromagnetic probe, constructing interference distribution characteristics in combination with a high-voltage wiring harness state, and distributing a communication time sequence in combination with a net joint beat, an inverter and a DC / DC switching period. And the power amplifier and the low-noise amplifier are linked to complete radio frequency front-end adjustment configuration. According to the method, correlation mapping is established through an interference time sequence, a spectrum coincidence relation and a link response state, an electromagnetic sampling waveform, a power device switching rhythm, a receiving channel echo feature and a whole vehicle communication rhythm are constrained in a unified manner, a tap compensation sequence is constructed in an interference resident area, and a phase inversion section is determined; and according to link response characteristics, rearranging receiving and transmitting starting points and time intervals, linking front-end power supply and feedback regulation sequences, staggering receiving and transmitting rhythms and interference rhythms, and inhibiting same-frequency superposition interference propagation.

The present technology relates to a reception device, a reception method, a data processing device, and a data processing method which enable a reception terminal for receiving a signal from a reception target terminal to efficiently receive the signal. The reception device comprises: an interference power calculation unit that calculates interference power to a desired reception wave; an SINR calculation unit that acquires position information of a reception target terminal and an interference map representing the interference power distribution, and calculates a signal-to-noise ratio (SINR); and a reception unit that receives a signal from the reception target terminal if the device is configured to receive the signal from the reception target terminal. The present technology can be applied to, for example, a satellite reception station for receiving a signal from a terminal that uses Internet of Things (IoT) technology.