27 results about "Signal in space" patented technology

The invention discloses a dam bank slope deformation trend early warning and troubleshooting method and system and an early warning device. The method comprises the steps of obtaining multi-stage SAR images of a target dam bank slope, constructing a three-dimensional deformation field, extracting a deformation gradient abnormal zone, identifying convex and concave deformation zones and forming a characteristic spectrum; the method comprises the following steps: acquiring geology, hydrology and environment multi-source signals in space-time matching, and constructing a deformation-signal incidence matrix through a dynamic time warping algorithm; mechanism early warning models are established for the deformation areas respectively, risk areas are output, and hidden danger inducements are traced based on an incidence matrix; the system comprises an image processing unit, a deformation analysis unit, a signal acquisition unit, a correlation construction unit, an early warning operation unit and a hidden danger tracing unit, and full-process automatic linkage is realized. The early warning device comprises a collector, a processor, a memory and an early warning device, and guarantees data collection, operation storage and early warning output. The method realizes deformation fine identification, risk accurate early warning and hidden danger tracing, and is suitable for long-term stability monitoring of various dam bank slopes.

The invention belongs to the technical field of optical fiber sensing, and relates to an optical time domain reflection monitoring method and device based on forward and reverse signal joint optimization, and the method comprises the steps: obtaining reverse and forward OTDR observation signals of a to-be-measured optical fiber; constructing a reverse OTDR linear signal reconstruction item based on a product of the orthogonal transformation matrix and a to-be-solved first sparse coefficient vector; constructing a forward OTDR linear signal reconstruction item based on the product of the orthogonal transformation matrix and a to-be-solved second sparse coefficient vector; constructing a data fidelity item based on the OTDR observation signal and the linear signal reconstruction item; constructing a joint sparse regular term based on the structural sparsity of the first sparse coefficient vector and the second sparse coefficient vector to be solved; and constructing a spatial constraint regular term based on the continuous smoothness of the reconstructed OTDR linear signal in the space, thereby constructing a joint optimization function and solving the joint optimization function to obtain a first sparse coefficient vector and a second sparse coefficient vector, and further reconstructing the OTDR linear signal to detect the optical fiber to be detected.

The present invention relates to an integrated packaging module and packaging method for a front-end conditioning circuit for gravitational waves, belonging to the field of semiconductor packaging technology. The front-end circuit is integrated into a single package, significantly reducing the circuit area and facilitating temperature control, which is beneficial for improving the temperature consistency of the front-end conditioning circuit. The integrated packaging of the front-end conditioning circuit also facilitates electromagnetic interference protection of the circuit. When measuring in space environments, it can avoid the impact of cosmic radiation on the front-end analog circuit of the measurement system, greatly enhancing the anti-interference capability of the measurement system. The module is suitable for precise measurement of gravitational wave signals in space-borne and high-radiation applications.

The application discloses a method for quickly estimating the array shape and direction of a towed line array, and aims at solving the problem of the decline of direction finding performance caused by the maneuvering of the towed line array and reducing the calculation amount of sparse Bayesian learning. The method comprises the following steps: dividing the spatial angle into N grid points averagely, and constructing a sparse signal model in space; modeling the towed line array to obtain an array manifold matrix containing an arch height variable; using the Gaussian generalized approximation message passing and the sparse Bayesian learning algorithm to reconstruct the sparse signal in space and estimate the arch height; and outputting a spatial spectrum diagram to estimate the direction of arrival. The method can estimate the direction of arrival while estimating the arch height under the distortion condition of the maneuvering towed line array, adjust the array manifold matrix, and solve the problems of the decline of direction finding precision caused by the array shape distortion and the loss of weak targets caused by the sidelobe lifting.

The application discloses a wireless power communication optimization method for RIS-assisted mobile industrial robots based on a TD3 algorithm.The method is used for reflecting energy and signals in space proportion by deploying an intelligent reflecting surface (Reconfigurable Intelligent Surface, RIS) under the condition that the position of the mobile industrial robot changes and dynamic shielding occurs, and the time proportion of simply reflecting energy and simultaneously reflecting energy and signals, and the intelligent decision of TD3 (Twin Delayed Deep Deterministic Policy Gradient) is used to maximize the transmission energy and communication quality. The application also solves the problems of poor wireless communication quality and short endurance time of the industrial robot.

The present invention discloses a moving platform radar radiation characteristic measurement device, comprising: a drone subsystem for providing a synchronization signal and power supply for a receiving front-end subsystem and a detection and recording subsystem, flying according to a specified route, and recording the flight state; a receiving front-end subsystem for receiving in real time radar radiation signals in space, filtering them and then transmitting them to the detection and recording subsystem; a detection and recording subsystem for performing peak detection and sampling on the radar radiation signals and recording the corresponding data; and a data processing subsystem for performing validity screening and error compensation on the recorded data, and combining with the recorded data of the radar device itself to give an analysis result of the radar radiation characteristics. The present invention mainly uses a drone to load an electromagnetic radiation detection device to form an effective moving platform radar radiation characteristic measurement device, which has the characteristics of low hardware cost, fast equipment layout, wide applicable scenarios, etc.

This invention relates to the field of pressure testing technology and discloses an omnidirectional pressure measurement system and method. The omnidirectional pressure measurement system includes a spherical piezoelectric sensor array module, a signal conditioning module, a signal storage and transmission module, and a host computer. The spherical piezoelectric sensor array module collects pressure signals in space, processes them through the signal conditioning module, and transmits them to the host computer via the storage and transmission module. The host computer calculates the pressure field intensity and pressure source location at each point and reconstructs the pressure field using the data. This invention employs a spherical array design with a dodecahedral vertex topology, enabling the system to achieve multi-angle information acquisition and depth perception, eliminating detection blind spots. This invention constructs a weighting function in a spherical coordinate system, calculates the pressure intensity at each point in space using a weighted average, estimates the initial position of the pressure source by squaring the measured value, and combines iterative algorithms for precise positioning. This invention not only improves measurement accuracy and efficiency but also enables the reconstruction of dynamic pressure fields.

The present application relates to the technical field of marine stratum activity monitoring, and particularly relates to a real-time monitoring method for marine stratum activity, which mainly comprises the following steps: connecting a communication cable already existing at the bottom of the sea with a land demodulator to form a distributed optical fiber acoustic wave sensing monitoring system for continuously observing marine stratum activity signals in space and time; training a deep learning algorithm to realize efficient and accurate pickup of marine stratum activity DAS monitoring signals; developing a DAS positioning algorithm to accurately obtain the spatial accurate position of underwater vibration signals; combining time-frequency analysis technology to construct a time-space-frequency-intensity correlation relationship of marine stratum activity and explore the evolution law of marine stratum activity. The method improves the reliability and decision-making ability of marine geological disaster risk assessment, and provides important support for sustainable development and utilization of marine resources in the future.

The application belongs to the technical field of communication interference protection, and specifically discloses a cross-time-scale interference cancellation real-time decision system, wherein a radio frequency quadrature receiving module is used for receiving interference and communication mixed signals in space, processing and digitizing the interference and communication mixed signals, and obtaining digital baseband signals of multiple IQ two-way channels; a parallelization multi-domain fusion cancellation algorithm module is used for suppressing interference signals in the digital baseband signals of the multiple IQ two-way channels through multiple cancellation algorithms, and obtaining cancellation output signals corresponding to the multiple cancellation algorithms respectively; a cancellation effect real-time evaluation module is used for performing interference detection on the cancellation output signals corresponding to the multiple cancellation algorithms respectively, and obtaining evaluation results corresponding to the multiple cancellation algorithms respectively; and a cancellation algorithm real-time decision module is used for determining an optimal cancellation algorithm in the multiple cancellation algorithms based on the evaluation results corresponding to the multiple cancellation algorithms respectively, and outputting a cancellation output signal corresponding to the optimal cancellation algorithm.

The application belongs to the technical field of optical fiber sensing, and relates to an optical time domain reflection monitoring method and device based on joint optimization of forward and reverse signals. Reverse and forward OTDR observation signals of a to-be-detected optical fiber are acquired. A reverse OTDR linear signal reconstruction term is constructed based on the product of a orthogonal transformation matrix and a first sparse coefficient vector to be solved. A forward OTDR linear signal reconstruction term is constructed based on the product of the orthogonal transformation matrix and a second sparse coefficient vector to be solved. A data fidelity term is constructed based on the OTDR observation signals and the linear signal reconstruction terms. A joint sparse regularization term is constructed based on the structured sparsity of the first sparse coefficient vector and the second sparse coefficient vector to be solved. A spatial constraint regularization term is constructed based on the continuous smoothness of the reconstructed OTDR linear signal in space. Thus, a joint optimization function is constructed and solved to obtain the first sparse coefficient vector and the second sparse coefficient vector, and the OTDR linear signal is reconstructed to detect the to-be-detected optical fiber.

A control device for controlling an electric drive comprises a basic control loop having a deviation detection element (RA), an actuator (IRT) and a controlled system (RS). In a feedback section (FBG) of the basic control loop, the current intensity of the inverter (INV) is fed back as an actual value (IEM) in the feedback section. The basic control loop refers to the fundamental wave angular frequency ([omega] G), and the harmonic detection element (OE, RTO) is connected downstream of the feedback section (RS). The harmonic detection element determines an actual value (IEM) or a harmonic component (IO; Id (O), Iq (O)) in a supply signal of the inverter (INV). An inverse signal generating element (GSRZ) generates an inverse signal (GS) to be fed in, the inverse signal generating element (GSRZ) being arranged to generate an inverse signal (GS) from the harmonic component (IO) by two vectors represented by a spatial vector of the adjusted inverse signal. Id (O), Iq (O)) in order to minimize both the actual value (IEM) or the harmonic component (IO) in the supply signal and to reduce the harmonic component in the torque or to maximize the efficiency or performance.

The invention discloses a low-orbit navigation simulator based on embedded data simulation software, which belongs to the technical field of low-orbit navigation system data simulation and consists of an embedded data simulation software module, a signal generation module, a time-frequency synchronization and shunt module and a power supply module. The embedded data simulation software module completes low-orbit navigation signal data simulation and sends simulated data to the signal processing module; the signal processing module interacts with embedded data simulation software, receives low-orbit navigation signal simulation data and completes generation of a baseband signal and a radio frequency signal; the time-frequency synchronization and shunt module is used for receiving a space real navigation signal, providing an ephemeris file and time, providing PPS and 10MHz time references for a hardware platform, and completing time synchronization of the low-orbit navigation simulator and the space navigation signal; and the power supply module supplies power to the low-orbit navigation simulator. According to the invention, various use requirements of vehicle-mounted, airborne, distributed unattended operation and the like can be met.

The present invention relates to the technical field of military reconnaissance and detection radars and remote sensing and telemetry systems, and in particular to an ultra-wide spectrum radar system. The system comprises: a receiving antenna array unit module for collecting spectral signals in space, the collected spectral signals having a range of 780nm-5000μm; a processing module for processing and calculating the collected spectral signals; and a control module for scheduling and controlling radar tasks according to the processed and calculated spectral signals. The system receives spectral signals in an ultra-wide spectrum range of 780nm-5000μm, so that spectral signals in space can be received for detection both during the day and at night. At the same time, the collection of multi-dimensional and multi-component information of the target can be realized, thereby improving the resolution of the ultra-wide spectrum radar system. In addition, during the operation of the ultra-wide spectrum radar system, when there is electromagnetic interference in a certain frequency band, the electromagnetic interference can be dynamically avoided based on the ultra-wide spectrum range.

The application discloses a method for separating same-frequency signals in space, which comprises the following steps: S1, acquiring the elevation angle and azimuth angle of a satellite; S2, calculating a guide vector of a satellite signal coming direction; S3, injecting an interference signal into other satellite coming directions except the satellite signal coming direction to be pointed, so as to obtain a new input signal X'; S4, applying an adaptive beam forming algorithm to the new input signal to obtain a synthesized directivity pattern which forms a pointing gain in the signal coming direction to be separated and forms a "null" in other signal coming directions, so as to separate the same-frequency signals; the application solves the problems of a complex system, large volume and high cost caused by the traditional method for separating same-frequency signals in space by using multiple directional antennas; the application avoids the problem of high calculation complexity of the array signal processing method using a multi-linear constraint, greatly shortens the calculation time, and can be realized by simply modifying the traditional anti-suppression interference algorithm, and is convenient and easy to implement.

The invention relates to the technical field of pressure testing, and discloses an omni-directional pressure measuring system and method.The omni-directional pressure measuring system comprises a spherical piezoelectric sensor array module, a signal conditioning module, a signal storage and transmission module and an upper computer; the data are processed by the signal conditioning module and transmitted to the upper computer through the storage and transmission module, the pressure field intensity and the pressure source position of each point are calculated on the upper computer, and the pressure field is reconstructed by using the data. According to the invention, the design of the spherical array with the regular dodecahedron vertex topology is adopted, so that the system realizes multi-angle information acquisition and depth perception, and a detection blind area is eliminated; according to the method, the weighting function is constructed in the spherical coordinate system, the pressure intensity of each point in the space is calculated through weighted average, then the initial position of the pressure source is estimated according to the square of the measured value, and accurate positioning is performed in combination with the iterative algorithm. According to the invention, the measurement precision and efficiency are improved, and the dynamic pressure field can be reconstructed.

The invention relates to a seismic data denoising method, belongs to the field of coal field seismic exploration, and particularly relates to a method for removing random interference in coal field seismic exploration data based on a singular value decomposition algorithm. The problems that random interference in existing coal field seismic exploration data is serious and difficult to effectively remove, and the signal-to-noise ratio of seismic data is low are solved. The flow of the method is shown in an attached drawing, and the method mainly comprises the following steps: carrying out singular value decomposition on superposed (offset) data, and determining a singular value representing a seismic data subspace; sorting the singular values according to a non-increasing sequence, and determining singular values with larger numerical values; determining a singular value decomposition denoising parameter k through a weighting ratio method; and performing data reconstruction by using the previous k singular values, and determining seismic data after random noise attenuation. According to the method, based on the characteristic that seismic data has correlation, a singular value is used as an orthogonal basis to decompose signals in space, and on this basis, wave field separation and denoising are realized by using the correlation difference of seismic waves, so that random interference in the seismic data can be effectively removed.

A method of spatial modulation using an antenna array including radiating elements having power amplifiers communicatively coupled thereto. An amplitude of an output signal to be formed in space is determined by the antenna array based on an input signal. Output amplitude levels for the radiating elements are determined based on the amplitude of the output signal and a current output amplitude level of the antenna array. The first signal(s) for a first subarray of the antenna array and the second signal(s) for a second subarray of the antenna array are generated based on the input signal. The output amplitude levels are assigned to the power amplifiers of the radiating elements. The first signal(s) are sent to radiating elements of the first subarray and the second signal(s) are sent to radiating elements of the second subarray for transmission therefrom to form a combined signal in space as the output signal.

This invention discloses a fiber optic sensing and early warning method and system for intelligent vehicle perimeter safety, relating to the fields of intelligent transportation and vehicle safety technology. The method includes: acquiring fiber optic scattering signals and determining the spatial location of disturbances; continuously reconstructing the multi-point fiber optic scattering signals in space and time according to the spatial location of the disturbances to obtain a disturbance energy density field; constructing a fiber optic topology graph using the fiber optics deployed around the vehicle as nodes, local disturbance energy as node states, and spatial propagation intensity between nodes as edge weights; introducing physical constraints based on the disturbance energy density field as the optimization objective of the fiber optic topology graph to update the node states; and fusing the disturbance energy density field, vehicle operation information, and driver physiological signals, combined with the local disturbance energy of the fiber optics to obtain a disturbance event type identification result. By constructing a continuous fiber optic sensing network around the vehicle, real-time monitoring and identification of disturbances around the vehicle are achieved.

The present invention relates to a method for constructing a hybrid wavefront signal model for 5G signals and a channel estimation method based on passive measurement of the hybrid wavefront signal model. In the 5G receiving signal model, according to the distance #imgabs0# from the receiving end antenna to the previous scattering point and the Rayleigh distance d Rayleigh Different wavefront signal models #imgabs1# are used to fit the propagation of 5G signals in space based on the size comparison. The hybrid wavefront signal model is used to iteratively update the signal state information (CSI) of the receiving end using the spatial alternating generalized expectation maximization algorithm (SAGE) until the channel characteristic parameters #imgabs2# converge, thereby realizing channel parameter estimation. The present invention uses a hybrid of the plane wavefront model and the spherical wavefront model for estimation, which can better adapt to the indoor environment under the 5G environment, improve the accuracy of channel modeling in the indoor environment, and better describe the propagation of electromagnetic waves in the indoor environment.

The invention discloses a multi-core optical fiber strain interpretation and temperature compensation decoupling method for a freeze-thaw environment, and relates to the technical field of civil engineering and frozen soil monitoring, and the method comprises the steps: obtaining a mixed signal of a freeze-thaw environment multi-core optical fiber, and constructing a temperature and strain multivariable coupling equation with multi-point experiment sample data; performing temperature and strain correlation calibration on the mixed signal through a temperature and strain joint calibration model, and outputting the calibrated mixed signal; performing adaptive decoupling on the calibrated mixed signal to obtain a preliminary pure strain signal and a preliminary pure temperature signal; a finite element shape function and the three-dimensional layout coordinates of the multi-core optical fiber are utilized, a tensor decomposition method is combined, space inversion is carried out on the noiseless pure strain signals, and a three-dimensional strain vector field of the freeze-thaw environment monitoring area is reconstructed; and adopting a spatial interpolation algorithm to complement data of missing measurement points in the three-dimensional strain vector field and the noiseless pure temperature signal, and outputting a decoupled three-dimensional strain field and a decoupled temperature field.

The invention discloses a non-linear metasurface capable of generating frequency-doubled harmonic waves and dynamically modulating harmonic wave phases, which is formed by periodically arranging a plurality of frequency-doubled harmonic wave phase reconfigurable units, and each frequency-doubled harmonic wave phase reconfigurable unit can efficiently convert a space incident fundamental frequency signal into a second harmonic wave radiated to the space. And the phase of the second harmonic is independently and dynamically regulated and controlled. Benefited from the independent regulation and control capability of each unit on the phase of the second harmonic, the metasurface can flexibly control the radiation direction of the second harmonic, and can also take the second harmonic as a carrier wave to modulate digital information on the carrier wave and realize wireless transmission. Compared with an existing harmonic wave nonlinear metamaterial, the metamaterial has the advantages of being low in profile, high in harmonic wave generation efficiency and capable of dynamically controlling harmonic waves.

The invention provides an electromagnetic emission evaluation method for stress evolution of a concrete dam structure, and the method comprises the steps: arranging electromagnetic emission signal collection devices at different measurement points of a stress monitoring region of a concrete dam, and configuring electromagnetic induction antennas for measuring three-axis directions for continuously collecting electromagnetic emission signals in a space, keeping the direction of the acquisition device consistent, and acquiring an electromagnetic emission signal for a period of time; enabling the collected signals to pass through a low-pass filter and a high-pass filter respectively to obtain three-axis electromagnetic emission signals, and synthesizing the three-axis electromagnetic emission signals into a total electromagnetic emission signal to obtain low-frequency and high-frequency electromagnetic signals of different measuring points; and analyzing the amplitude and amplitude variation of the low-frequency electromagnetic emission signal and the amplitude of the high-frequency electromagnetic emission signal, and determining the stress concentration position, strength, change rate and evolution direction of the safety monitoring area of the concrete dam structure. According to the invention, the stress concentration area of the concrete dam can be effectively monitored, and the safety and stability of the concrete dam structure are improved.

The application provides an electromagnetic emission evaluation method for stress evolution of a concrete dam structure, comprising the following steps: electromagnetic emission signal collecting devices are arranged at different measuring points in a stress monitoring area of the concrete dam, and electromagnetic induction antennas for measuring three axial directions are configured, so as to continuously collect electromagnetic emission signals in space; the directions of the collecting devices are kept consistent, and the electromagnetic emission signals in a period of time are collected; the collected signals are respectively passed through low-pass filters and high-pass filters, so that electromagnetic emission signals of three axial directions are obtained, and the electromagnetic emission signals of three axial directions are combined into total electromagnetic emission signals, thereby obtaining low-frequency and high-frequency electromagnetic signals of different measuring points; the amplitude, amplitude change amount of the low-frequency electromagnetic emission signals and the amplitude of the high-frequency electromagnetic emission signals are analyzed, so as to determine the position, intensity, change rate and evolution direction of stress concentration in the stress monitoring area of the concrete dam structure. The application can effectively monitor the stress concentration area of the concrete dam, and improves the safety and stability of the concrete dam structure.

The application provides an optoelectronic hybrid three-dimensional stacked reasoning acceleration engine and an acceleration method thereof, the engine comprising an optical weight layer, a nonlinear activation layer, a digital scheduling layer and an optical signal distribution unit. The optical weight layer is composed of an optical weight medium made of a functional material, and the neural network weight information is pre-written in the medium, and the optical characteristic parameters of each region of the medium are mapped with the weight values; the optical signal distribution unit is used for expanding the input optical signal in space and uniformly covering the corresponding optical functional region. During reasoning, the medium remains static, and when the input optical signal is incident on the medium and interacts with it, the matrix multiplication is passively completed based on the parameter space difference. The nonlinear activation layer collects the optical signal and converts it into an electrical signal, and after applying the nonlinear activation, the optical signal output is regenerated, and the activation execution position is not limited. The digital scheduling layer performs input encoding, output reading and dynamic state caching. The application effectively improves the reasoning energy efficiency while maintaining model compatibility.

The invention belongs to the technical field of radio navigation and time service, and discloses an integrated Roland C and GNSS combined receiving system, which comprises an antenna unit, a Roland C receiving module unit, a GNSS receiving module unit and a combined processor unit, the antenna unit is used for receiving a Roland C signal and a satellite signal in a space and transmitting the received signals to the Roland C receiving module unit and the GNSS receiving module unit through the coupler, the Roland C and GNSS combined all-in-one machine adopts an integrated and combined coupling circuit design, and through the design of a miniaturized circuit board and the antenna, the Roland C and GNSS combined all-in-one machine can be used for receiving the satellite signal and the satellite signal in the space. Compared with the prior art, the signal-to-noise ratio and sensitivity of signals are greatly improved, the problem that a traditional antenna is inconvenient to transport and assemble is solved, miniaturization design is achieved, and by means of the combined integrated design, under the condition of some weak signals, through complementation of two signal systems of Roland C and GNSS, the performance of time service positioning navigation is improved.

The application discloses a kind of robust adaptive beamforming methods based on cascaded sparse multi-polarization linear array, mainly solve the problem of high complexity and limited degree of freedom of existing method calculation, its implementation steps are: constructing cascaded sparse multi-polarization linear array;The receiving signal modeling and multidimensional parameter decoupling are carried out to the array;The block representation is carried out to the received signal covariance matrix;Reconstruct virtual equivalent cascaded uniform multi-polarization linear array received signal covariance matrix;Based on the covariance matrix of reconstruction, one-dimensional wave direction and polarization parameter are solved;The sparse characteristics of expected signal and interference signal in space domain and polarization domain are used, and the robust adaptive beamformer weight vector is designed.The application is based on the multi-domain sparsity of signal space domain and polarization domain, provides feasible idea and effective solution for improving the calculation efficiency and degree of freedom of beamforming method, and can be used for wireless communication and radar anti-jamming.