1019 results about "Signal interference" patented technology

The invention discloses a low-altitude unmanned aerial vehicle trajectory tracking and monitoring method based on a 5G-A communication sensing integrated base station, and relates to the technical field of low-altitude traffic management and communication sensing fusion, and the method comprises the steps: firstly collecting multi-source data such as a communication sensing fusion signal, environment interference and unmanned aerial vehicle attributes, and carrying out the alignment and packaging of a unified timestamp and a coordinate system into a synchronous data frame; then, deep fusion and anti-interference processing are carried out on the data frames, noise is filtered out, and pure fusion data is generated; and furthermore, real-time track calculation and motion trend prediction are carried out on pure data by utilizing multi-base-station cooperative calculation and prediction. Based on this, through a multi-target feature recognition and clustering separation mechanism, independent individual trajectories are accurately stripped from a complex mixed data stream, and compliance verification and anomaly judgment are performed on the trajectories in combination with an airspace rule base. In this way, the problems of signal interference and multi-target aliasing in a complex environment can be effectively solved, and therefore high-precision global tracking of the low-altitude unmanned aerial vehicle and real-time monitoring of abnormal behaviors are achieved.

The invention discloses an electric power utilization anomaly detection and early warning method based on the Internet of Things, which relates to the technical field of electric power utilization and comprises the following steps of: performing fitting comparison on identified inductive current fluctuation and a behavior residual error template generated based on a real load behavior; analyzing a response time window, a fluctuation amplitude track and a behavior continuity characteristic, and judging whether the inductive current fluctuation generated by a non-target loop belongs to a real load change behavior or not under the condition that a plurality of loops are grounded together according to the response time window, the fluctuation amplitude track and the behavior continuity characteristic; and combining the behavior residual error fitting score, the phase consistency value and the frequency response stability value to generate a signal credibility judgment sequence, and carrying out credibility grade division on the inductive current fluctuation. According to the method, the problem of false fluctuation misjudgment caused by inductive signal interference under the condition that multiple loops share the grounding condition is solved, accurate identification and dynamic regulation and control on the authenticity of inductive current fluctuation are achieved, and therefore the accuracy and reliability of power utilization anomaly detection and early warning are improved.

The invention discloses a cable fault accurate positioning system based on an intelligent sensor system, and relates to the technical field of power fault positioning, and the cable fault accurate positioning system comprises a cloud monitoring center which is in communication connection with the following modules: a signal acquisition and processing module which is used for deploying the intelligent sensor system along a cable, operation environment data and traveling wave signals in the cable operation process are obtained, and the signals are preprocessed and stored in a cloud data warehouse. According to the invention, the front band-pass filter and the self-adaptive trap filter are combined to filter out high-frequency harmonic waves and specific-frequency interference signals, and the differential sampling technology is adopted to counteract common-mode interference, so that the signal-to-noise ratio of the signals is remarkably improved, a system can accurately capture and process weak traveling wave signals caused by a high-resistance grounding fault in a complex environment, and the fault detection accuracy is improved. Therefore, the fault positioning precision is greatly improved, the positioning error caused by signal interference is reduced, and the determination of the fault position is more reliable and accurate.

The invention relates to a cooperative control method and system for realizing self-organizing protection of a multi-unmanned aerial vehicle cluster, and the method comprises the steps: M1, enabling the unmanned aerial vehicle cluster to execute a task, obtaining the data information of the remaining power, RSSI signal intensity and IMU attitude of each unmanned aerial vehicle in real time based on an airborne built-in sensor, and acquiring data information of distances and relative speeds of obstacles around the unmanned aerial vehicles in real time based on an airborne external millimeter-wave radar, constructing a dynamic threshold function stop, and if the RSSI signal strength of each unmanned aerial vehicle is greater than the stop, outputting data information of the residual electric quantity and IMU attitude of each unmanned aerial vehicle. According to the method, misjudgment (such as transient packet loss due to electromagnetic shielding) caused by temporary signal interference is effectively avoided, the misjudgment rate is reduced by 40%, unnecessary return or cluster recombination is reduced, continuous task execution is guaranteed, it is ensured that leader handover is completed quickly (at the millisecond level) when a host fails, and the situation that a cluster falls into disorder due to single-point failure is avoided.

The invention relates to the technical field of information, and discloses a radar dynamic anti-interference method and system based on interference source positioning. The method comprises the following steps: acquiring current signal data and a historical signal sequence, and determining an initial deviation value; extracting a historical deviation sequence according to the initial deviation value to obtain a deviation change trend vector; calculating a trend slope and a fluctuation amplitude, and determining an adjustment trigger signal; extracting feature interaction influence according to the adjustment trigger signal, and determining a weight coefficient update increment; iterative optimization is carried out in combination with the convergence rate parameter, and an optimized convergence rate value is obtained; adjusting deviation compensation model parameters according to the convergence speed value, and outputting a deviation compensation result when the compensation residual error is lower than a preset threshold value; and carrying out positioning calculation according to a deviation compensation result, and determining a corrected positioning coordinate. The model is dynamically optimized through technologies such as a sliding window and gradient descent, the problem of positioning deviation caused by complex environment signal interference is solved, and the positioning precision and the response speed are improved.

The invention relates to the technical field of debugging systems, in particular to an adaptive debugging system and method for touch screen FW parameters, and the system comprises a signal acquisition module, a trend triggering module, a temperature compensation calculation module, a window generation module and a parameter output module. According to the invention, the edge of the driving voltage is carefully collected, the sliding difference algorithm is introduced to filter out high-frequency noise, meanwhile, real-time sampling of environment temperature and baseline capacitance adjustment are combined, the influence of external variables on signals can be dynamically corrected, and accurate judgment of capacitance fluctuation is improved by utilizing periodic delay deviation and regression trend analysis. By means of main frequency feature extraction and zero crossing point sudden change detection, threshold setting can be refined, self-adaptive window expansion can be achieved, touch signal response is kept sensitive and consistent all the time, adjustment and optimization can still be automatically completed even under the condition that the temperature changes frequently or signal interference is complex, parameter drift and debugging failure are effectively prevented, and user experience is improved. And the parameter automatic matching efficiency and the finished product consistency in batch production are improved.

The invention relates to the technical field of communication, and discloses a network communication chip signal interference suppression processing method. The method comprises the following steps: acquiring a local oscillator phase jitter sequence in real time through an on-chip phase noise monitoring unit; estimating Doppler frequency shift and channel coherence time based on the sequence; dynamically adjusting the closed-loop bandwidth of the phase-locked loop; and generating a phase compensation signal, and performing time-varying channel minimum mean square error equalization in combination with a received baseband signal to eliminate inter-symbol interference. The system integrates a phase noise monitoring function module, a channel parameter estimation function module, a phase-locked loop bandwidth regulation function module, a phase compensation generation function module and an interference joint elimination function module. By means of dynamic bandwidth reconstruction and high-precision phase compensation, the bit error rate under high-speed movement is remarkably reduced, the 5G millimeter wave communication standard requirement is met, and the method has the advantages of being achieved on a whole chip, low in delay and high in robustness.

The invention provides a berthing ship multi-parameter real-time monitoring method and system based on a laser radar, and relates to the technical field of intelligent sensing and automatic monitoring. The method comprises the following steps: acquiring three-dimensional point cloud data; performing dynamic environment filtering processing on the acquired point cloud data; ship point cloud features in the filtered point cloud data are extracted; generating a ship three-dimensional detection frame based on the ship point cloud features; based on a ship three-dimensional detection frame, multi-parameter monitoring of the whole process from long-distance identification to ultimate berthing is achieved by dynamically adjusting monitoring strategies and algorithm parameters. According to the invention, real-time accurate monitoring of key parameters such as ship speed, distance, included angle and the like is realized, the problems of monitoring blind areas, signal interference and the like in the prior art are effectively solved, and the safety and automation level of berthing operation are remarkably improved.

The invention discloses a cable fault accurate positioning method and system based on acoustic-magnetic synchronization and deep learning, and relates to the technical field of cable fault localization, and the method comprises the steps: synchronously collecting an acoustic signal and a magnetic signal generated in a cable fault region, and generating an original acoustic-magnetic synchronization signal pair; in combination with the current signal interference parameter, de-noising by using a deep convolutional neural network to obtain an enhanced acoustic-magnetic synchronization signal pair, calculating an acoustic-magnetic propagation speed difference according to the enhanced acoustic-magnetic synchronization signal pair, and determining first fault point positioning; inputting the regional cable distribution topology of the cable fault region, the current fault scene parameter and the enhanced acoustic-magnetic synchronization signal pair into a fault positioning identification plug-in, and outputting second fault point positioning; and determining a second positioning prediction confidence coefficient, carrying out positioning fitting on the first fault point positioning and the second fault point positioning, and outputting a cable fault fixed point result. According to the invention, the technical problem of insufficient cable fault fixed point accuracy in the prior art is solved.

The invention discloses a PRFI suppression method based on a Hankel structure and truncation nuclear norm regularization. The method comprises the following steps: acquiring an SAR echo signal interfered by a PRFI signal; the SAR echo signals are constructed into a Hankel matrix, and the Hankel matrix comprises a low-rank PRFI signal interference component matrix and a sparse SAR useful signal component matrix; constructing a low-rank sparse decomposition model based on a Hankel matrix, wherein an objective function of the low-rank sparse decomposition model comprises a truncation nuclear norm regular term used for constraining a PRFI signal component and a sparse regular term used for constraining an SAR useful signal component; performing iterative solution on the low-rank sparse decomposition model by adopting an alternating direction multiplier method to obtain a PRFI signal interference component matrix and an SAR useful signal component matrix after separation; and carrying out inverse transformation on the SAR useful signal component matrix to obtain an SAR useful signal from which the PRFI signal is removed. According to the method, the loss of the SAR useful signal can be reduced while the PRFI signal interference is efficiently suppressed, so that the fidelity of the SAR useful signal is improved.

The invention relates to the technical field of water supply network operation and maintenance detection, in particular to a water supply network multi-pipeline leakage detection and positioning method, which comprises the following steps of: acquiring pressure time sequence data of a monitoring point of a water supply network, processing to generate a standardized pressure fluctuation sequence, and analyzing the data by utilizing a pre-trained leakage reasoning calculation model; leakage suspected degree scores and leakage type classifications are obtained, high-suspected-degree leakage events are screened, and corresponding positions and timestamps are obtained. A transient flow state inversion equation set is built in combination with a pipe network topological structure and a hydraulic model, a standardized pressure sequence is used as a boundary condition, pipe section hydraulic state changes are reversely deduced through a state inversion algorithm, pressure gradient abrupt change points are recognized, corresponding pipe sections are positioned, and leakage types and positioning information are fused to generate a complete detection positioning report. According to the method, leakage types can be accurately distinguished, multi-pipeline concurrent leakage pipe sections can be accurately positioned, non-leakage signal interference is reduced, and the method is adaptive to a complex pipe network leakage detection scene.

The invention discloses a 3D packaging structure and a manufacturing method thereof, and the method employs a glass wafer as a first carrier plate, and solves the problems of reliability and signal interference caused by the mismatching of thermal expansion coefficients of an organic material adapter plate and a Si-based silicon bridge chip. In S1, a blind hole is etched by taking a glass wafer as a base material, and Cu is metallized and filled, and the thermal expansion coefficient of glass is similar to that of a silicon bridge, so that the risk of thermal stress deformation is reduced. And S2, through groove etching, temporary carrier plate bonding and thinning, a through groove hole is formed, and the rigid structure of the glass carrier plate maintains the stability of the packaging structure during high-density integration. And S3, the silicon bridge Die is embedded into the through groove hole, the low thermal expansion characteristic of the glass is well matched with the silicon bridge, the interface stress is reduced, the dielectric property of the glass support plate is excellent, the signal dielectric loss is reduced, and the signal integrity is improved by matching with the silicon bridge Die. And S4, after the functional chip is mounted on the adapter plate, the glass-based adapter plate ensures reliable connection, signal attenuation distortion is inhibited, and a reliable packaging scheme is provided for high-density integration.

The invention provides an active suppression type multi-band electromagnetic interference filtering system and method for an unmanned aerial vehicle, and the system comprises a signal input unit which is used for receiving input signals from a plurality of to-be-protected modules in an unmanned aerial vehicle system; the interference identification unit is used for monitoring frequency spectrum information of the input signals in real time and identifying interference characteristics of the input signals; the control processing unit is used for generating a corresponding filtering control instruction according to the identification result; the active filtering unit is used for dynamically adjusting filtering parameters according to the control instruction and completing suppression of multi-band electromagnetic interference; and the signal output unit is used for outputting the filtered signal to the corresponding unmanned aerial vehicle module. The active suppression type multi-band electromagnetic interference filtering system is specially designed for an unmanned aerial vehicle system, has the characteristics of intelligence, light weight and high efficiency, can effectively improve the anti-interference capability of an unmanned aerial vehicle in a complex electromagnetic environment, and has a wide engineering application prospect.

The invention discloses an indoor positioning method based on a Bluetooth RSSI (Received Signal Strength Indicator), which comprises the following steps: after a positioning tag receives RSSI data broadcasted by Bluetooth beacons, screening the beacon with the strongest signal and calculating the distance; current data is directly adopted in first positioning, and translation processing is performed in combination with historical positions in non-first positioning so as to smooth a result. And mapping the position points to path points through a road network matching algorithm, preliminarily positioning the path points based on shortest path planning, and outputting a final positioning result through a filtering rule. According to the invention, the problem of positioning fluttering caused by fluttering of the Bluetooth RSSI signal, the problem of back-and-forth jumping of actual positioning caused by instability of the Bluetooth RSSI signal and the problem of signal abnormity caused by signal interference caused by metal, a wall body or a human body are effectively solved.

The invention relates to the technical field of postpartum rehabilitation equipment, and provides a pelvic floor muscle repairing instrument, a pelvic floor electromyographic signal interference removing method and related equipment. The pelvic floor muscle electromyographic acquisition module is configured to acquire pelvic floor muscle surface electromyographic signals containing adjacent muscle group interference to obtain target electromyographic signals; the interference muscle group monitoring module is configured to collect physiological activity signals of muscle groups adjacent to pelvic floor muscles so as to obtain interference reference signals; the posture sensing module is configured to collect a body posture time sequence signal related to pelvic floor muscle activity so as to obtain a scene auxiliary signal; and the signal processing module is configured to perform suppression processing on adjacent muscle group interference in the target electromyographic signal based on the interference reference signal and the scene auxiliary signal, and output a purified pelvic floor electromyographic signal. Pelvic floor muscle real signals and dynamic interference are distinguished through the scene auxiliary signals obtained by the posture sensing module, and the purity and reliability of output signals of the pelvic floor muscle repairing instrument are improved.

The invention belongs to the technical field of near-field imaging, and particularly relates to a microwave and millimeter wave near-field subsurface microscopic imaging device and method based on signal interference, and the device comprises a vector network analyzer, a signal separation device, a phase adjustment device, a semi-steel coaxial line, a displacement platform, and an industrial control computer. The vector network analyzer comprises a signal separation unit, a frequency synthesis source, a first receiver and a second receiver, wherein the frequency synthesis source, the first receiver and the second receiver are respectively connected with the signal separation unit and used for generating microwave and millimeter wave test signals. The signal separation device is respectively connected with the vector network analyzer, the phase adjusting device and the semi-steel coaxial line, and the displacement table is connected with the vector network analyzer through the industrial personal computer; the tail end of the semi-steel coaxial line, which is far away from the signal separation device, is provided with a conical needle tip-shaped near-field probe; and the needle tip of the near-field probe is vertical to the surface of a to-be-detected sample arranged on the displacement table.

The invention discloses a millimeter wave communication transmission signal interference suppression method, and relates to the technical field of millimeter wave communication signal interference suppression, and the method comprises the steps: deploying a multi-antenna array and an ultra wide band detection module, collecting interference and useful signal features, and generating a data set; evaluating an interference level in combination with channel parameters, and establishing a mapping relation between interference and a channel; interference types are accurately classified through a deep learning model; differential suppression schemes are adopted for different interferences; dynamically adjusting suppression parameters; monitoring a suppression effect and feeding back optimization; and the adaptive capacity of complex scenes is improved based on historical data self-learning. According to the invention, accurate identification and differential suppression of interference are realized, and the anti-interference capability and the transmission stability are significantly improved; the interference and channel change are dynamically adapted, the self-learning ability enhances the adaptation to novel interference, and an efficient interference suppression solution is provided for millimeter wave communication.

The invention relates to an air conditioner control method and device, an air conditioner and a computer readable medium. The method comprises the steps that the environment temperature of the space where a target air conditioner is located is obtained; under the condition that the environment temperature meets the starting condition of the target air conditioner, whether a target object exists in the space where the target air conditioner is located or not is detected based on the through-wall prevention strategy; and under the condition that the target object exists in the space where the target air conditioner is located, the target air conditioner is controlled to start running. Whether the target object is located in the space where the air conditioner is located or not is accurately recognized through the through-wall prevention strategy, outdoor Bluetooth signal interference is avoided, energy waste caused by unnecessary startup is avoided, the through-wall false triggering probability is remarkably reduced, the air conditioner control accuracy and energy saving performance are improved, and the air conditioner control cost is reduced. The technical problem of outdoor false triggering caused by Bluetooth signal wall penetration is solved.

The application discloses a low-altitude unmanned aerial vehicle track tracking and monitoring method based on a 5G-A integrated base station, relates to the technical field of low-altitude traffic management and communication and perception fusion, and first collects multi-source data such as integrated perception and fusion signals, environmental interference and unmanned aerial vehicle attributes, and encapsulates the data into synchronous data frames through unified timestamp and coordinate system alignment. Then, the data frames are subjected to deep fusion and anti-interference processing, noise is filtered out, and pure fusion data is generated. Further, the pure data is subjected to real-time track solving and motion trend prediction by using multi-base-station cooperative solving and prediction. Based on this, independent individual tracks are accurately stripped from complex mixed data streams by using a multi-target feature recognition and clustering separation mechanism, and the tracks are subjected to compliance verification and abnormality determination in combination with a space domain rule library. In this way, the problems of signal interference and multi-target aliasing in a complex environment can be effectively overcome, so that high-precision global tracking of low-altitude unmanned aerial vehicles and real-time monitoring of abnormal behaviors are realized.

The invention discloses a large-burial-depth pipeline nondestructive detection method and system, and relates to the technical field of pipeline positioning. The system combines a region feasibility identification module, an initial positioning module, a multi-type nondestructive detection unit, a multi-path anomaly identification module, an underground structure matching module, an intelligent obstacle avoidance compensation module and a signal fusion module, and adopts a multi-source information fusion and intelligent path planning technology. And high-precision and non-intrusive nondestructive detection of the metal pipeline with the burial depth exceeding 5 meters is realized. Through comprehensive evaluation of ground obstacles and underground interference sources, the detection path layout is optimized, and the problems of signal interference, multi-path reflection and detection blind areas in the urban complex underground environment are effectively solved. The system can accurately reject non-target structure reflection signals, dynamically generate an obstacle avoidance compensation path, and improve the detection coverage rate and the signal integrity. And finally, three-dimensional space positioning and digital map coordinate output are realized, and the accuracy of pipeline positioning and the reliability of depth estimation are remarkably improved.

The invention relates to an anti-interference high-selectivity omnidirectional planar filtering antenna, a filtering processing method and application, and the planar filtering antenna comprises a metal radiation layer, a first dielectric substrate, a first coupling layer, a second dielectric substrate and a second coupling layer which are sequentially stacked. The second dielectric substrate is provided with a plurality of metalized through holes which are distributed in an annular array mode and define a substrate integrated cavity with the first coupling layer and the second coupling layer, the metalized through holes divide the second coupling layer into an inner side patch and an outer side ring piece, and the inner side patch is evenly provided with a plurality of resonance grooves; and a feed probe penetrating and extending to the second dielectric substrate is arranged at the center of the bottom of the metal radiation layer. According to the invention, the substrate integrated waveguide technology is adopted, the substrate integrated cavity is formed, and a high-selectivity filtering effect is realized by utilizing the characteristic of high Q value, so that the interference of out-of-band signals is effectively inhibited, and the advantages of the patch antenna and the substrate integrated cavity are effectively combined.

The invention discloses a portable multi-band unmanned aerial vehicle interference method and system based on a directional antenna array, and belongs to the field of unmanned aerial vehicle countering. The invention discloses a portable multi-band unmanned aerial vehicle interference method and system based on a directional antenna array. The method comprises the following steps: detecting and tracking a multi-sensor fused target; generating a multi-band interference signal; multi-band signal interference based on a directional antenna array; the system comprises a detection and tracking module, a signal generation and processing module, a directional interference array module, a main control and interaction module and an integrated platform and support module. The problems that in the prior art, a high-speed maneuvering unmanned aerial vehicle is difficult to track, and a modern unmanned aerial vehicle using multiple communication frequency bands at the same time cannot be effectively handled are solved. The method is high in interference efficiency and long in acting distance, wide effectiveness of unmanned aerial vehicles of different models and different communication configurations is guaranteed, multi-band coverage is achieved, the beam switching speed reaches the millisecond level through electronic beam forming, and the capacity of coping with complex targets is high.

The invention relates to the technical field of high-voltage circuit breaker monitoring, and discloses a high-voltage circuit breaker contact wear intelligent online detection and fault prediction system. The system comprises a contact wear online detection module, a data acquisition and processing module, a wear degree intelligent analysis module, a fault risk prediction module, an alarm and output module, a data storage and management module and a user interaction module. When online detection is carried out on the wear state of the contact of the high-voltage circuit breaker, electrical, mechanical and thermal parameters of the contact are synchronously acquired through a multi-sensor fusion technology, and adaptive filtering and optimization are carried out on an original detection signal by adopting a wavelet transform and Kalman filtering multi-stage signal processing algorithm; influences of electric arcs and electromagnetic noise instantaneous strong interference on detection signals can be suppressed, the accuracy of calculation of contact resistance and stroke key parameters of the contact is guaranteed, the accuracy of contact abrasion state evaluation is improved, and evaluation errors caused by signal interference are reduced.

The invention provides a self-adaptive interference suppression method and system for a multi-band signal. The method comprises the following steps: acquiring a multi-band original signal set comprising a plurality of band continuous signal units; then, an adaptive interference modeling model is called to carry out interference mode characterization processing, and an interference signal characterization result is generated; dynamically configuring an interference suppression parameter set in one-to-one correspondence with each frequency band signal interference mode based on an interference signal characterization result; performing adaptive interference suppression processing on the multi-band original signal set by using the interference suppression parameter set to obtain a preliminary suppression signal set; and finally, feeding back the initial suppression signal set to the adaptive interference modeling model for iterative optimization processing to generate a final interference suppression signal set. According to the invention, accurate analysis and adaptive suppression of multi-band signal interference are realized, the stability and reliability of signal transmission are improved, and the complexity and cost of the system are reduced.

The invention relates to a power distribution network fault distance measurement system and a monitoring method thereof, and the system comprises a distributed monitoring terminal network, a master station data processing center and a communication network which cooperate to achieve the collection, processing and positioning analysis of fault signals. According to the invention, through a fault branch identification strategy combining distributed power supply side cooperative monitoring and power flow direction analysis, the problem of fault branch identification of the power distribution network containing the distributed power supply is effectively solved; the relative time synchronization calibration technology is adopted, a high-precision satellite synchronization module is not needed, the satellite signal interference problem is avoided, meanwhile, the hardware deployment cost is reduced, the system adopts the dual-mode communication and standby power supply design, the system adapts to complex operation environments such as cities and underground, and the reliability is high; the monitoring terminal adopts an ARM + FPGA dual-core architecture, gives consideration to real-time performance and data processing capability, can be directly connected with existing power distribution network equipment, and is low in transformation difficulty and flexible in deployment; the parameter self-correction function enables the system to adapt to line parameter change and environmental influence, and the long-term distance measurement precision is stable.

The invention relates to the technical field of basketball judgment, and discloses an infrared time sequence verification basketball goal anti-misjudgment detection method. According to the method, infrared signal sequences of shooting actions are collected in real time through an infrared sensor array on the periphery of a basketball hoop, shooting track fragments are segmented, space-time coupling characteristics are extracted, then a multi-scale track analysis grid is generated, and the grid precision of an infrared signal violent change area is higher than that of a smooth area. Interference feature analysis is conducted on the grid time sequence to generate an infrared signal interference index, the abnormal deviation degree of the basketball track is calculated through a dynamic path verification algorithm in combination with the index, and finally a misjudgment verification conclusion of the shooting action is generated according to the comparison result of the abnormal deviation degree and a preset threshold value. According to the method, the basketball movement track can be comprehensively captured, interference is effectively eliminated, the accuracy and the real-time performance of goal penalty are improved, and the fairness of basketball match penalty is improved.

The invention discloses a low-altitude unmanned aerial vehicle countering monitoring system based on state feature decoding, relates to the technical field of unmanned aerial vehicle prevention and control, and is used for solving the problem of poor low-altitude target detection and countering. According to the invention, through closed-loop management and control of heterogeneous radar networking detection, signal level fusion processing, threat assessment and resource scheduling and intelligent countering decision, accurate identification and directional countering of the low-altitude unmanned aerial vehicle are realized; according to the method, the detection precision and the micro-Doppler feature extraction capability of a low-speed small target are improved by combining a virtual aperture synthesis technology, then unbalanced resource allocation is implemented based on a threat level, the system efficiency is optimized, and finally seamless migration of an interfered node task is realized by constructing a signal interference situation map. And continuous tracking and effect evaluation on the target are maintained in the active radio frequency countering process, so that the overall efficiency and reliability of low-altitude security and protection in a complex environment are effectively improved.

The utility model relates to the field of sensor packaging, in particular to an embedded image sensor packaging structure which comprises a substrate, an annular heat conduction groove and a heat dissipation assembly, heat is efficiently collected through a heat dissipation copper sheet, and heat is efficiently conducted through sintered silver paste. Heat absorbed by the heat dissipation copper sheet can be quickly transmitted to the vertical heat conduction through holes in the substrates, so that the heat is efficiently transmitted between the substrates, the heat dissipation path is expanded, the heat dissipation efficiency is improved, the electrical conduction between the heat dissipation copper sheet and the vertical heat conduction through holes is ensured, the electrical performance of the whole packaging structure is more stable and reliable, and the service life of the packaging structure is prolonged. The image sensor is simple in structure and convenient to use, signal interference and transmission loss are reduced, the quality and stability of output signals of the sensor are guaranteed, the trapezoidal waterproof dam is formed at the edge of the double-layer stepped infrared optical filter, the waterproof capacity can be further enhanced, water vapor is prevented from entering the image sensor from the edge of the optical filter, and it is guaranteed that the image sensor can work normally in a humid environment.

Methods, systems, and devices for wireless communications are described. A first user equipment (UE) may receive, at a first transmission reception point, a first transmission from a second UE associated with communications between the second UE and a third UE. The first UE may receive, at a second transmission reception point, a second transmission. The first UE may identify transmissions having overlapping time-frequency resources based on receiving the first transmission and the second transmission. In some examples, the identified transmissions may include the first transmission and the second transmission. Additionally or alternatively, the identified transmissions may include a third transmission and a fourth transmission. The first UE may transmit an interference mitigation signal to the second UE. The interference mitigation signal may include an indication to orthogonalize one or more reference signals, a negative acknowledgment indication, or both.

The invention provides intelligent wearable equipment and a voice lamp control dimming method and system thereof, and belongs to the technical field of light control. Through networking configuration of the intelligent wearable device and the plurality of photoflood lamps, the photoflood lamps can accurately subscribe device message publishing, the stability and pertinence of lamp control instruction transmission are guaranteed, and the problem of signal interference or instruction mistransmission in a traditional lamp control mode is avoided. The target photography lamp to be dimmed can be accurately positioned by collecting the visual information of the lighting scene, generating the scene distribution information of the photography lamp and combining the recognition of the user voice signal and the semantic analysis extraction instruction, so that the problem of tedious screening of the target lamp in a multi-lamp scene is effectively solved, and the dimming accuracy is improved. The method is especially suitable for shooting scenes with complex lighting and a large number of lamps. Voice is used as a core control mode, visual positioning assistance is matched, operation does not need to be dependent on a traditional key console or a touch screen APP, and the lamp control process can be greatly simplified.