34results about How to "Avoid aliasing" patented technology

The invention provides a multi-channel signal acquisition and analysis system for safe navigation of a ship, and relates to the technical field of signal acquisition, and the system comprises a signal acquisition layer which comprises signal acquisition equipment and a signal conditioning module which comprises a programmable filter, a gain amplifier and an analog-to-digital converter; the signal processing layer comprises a logic control module, and the logic control module adopts an FPGA (Field Programmable Gate Array) and a reconfigurable data flow pipeline to carry out synchronous signal processing; the data analysis layer comprises an edge processing unit, an analysis algorithm library and a real-time decision unit; and the control and communication layer comprises a system control unit, a data transmission module and a storage management unit, the system control unit performs working mode management according to an instruction of the upper computer and is provided with a resource scheduler and a power consumption manager, and the data transmission module is provided with a multiple access transmission controller, a data compression unit and an encryption transmission module. According to the invention, comprehensive integration from signal acquisition to data analysis is realized, and the safe navigation capability of the ship is greatly improved.

The invention belongs to the technical field of super-division imaging, and discloses a multi-image super-division imaging method based on the guidance of a frequency domain low-pass filter, and the method comprises the steps: converting a low-resolution source image from a spatial domain to a frequency domain, and obtaining a spectrogram; performing low-pass filtering processing on the spectrogram, and extracting structure and detail information in the source image to generate an initial weight map; positioning a boundary area, and fusing the plurality of source images; estimating the optical flow based on the global motion multi-resolution, capturing direction and displacement information between adjacent pixels in the fused image, and determining the weight of a boundary region according to the direction and displacement information between the adjacent pixels; and finally, performing weighted fusion on the plurality of source images in combination with the initial weight map and the weight of the boundary region to generate a high-resolution image. According to the invention, an efficient super-resolution imaging method is realized, and the generated high-resolution image provides richer and more accurate visual detail information.

The invention provides an earth fluid effective angular momentum time sequence reconstruction method and device. The earth fluid effective angular momentum time sequence reconstruction method comprises the steps that earth fluid effective angular momentum is obtained, an original earth fluid effective angular momentum time sequence is obtained through linear interpolation, spectral analysis is conducted through fast Fourier transform, and an inherent periodic term is obtained; setting a lag window length based on an annual swing period and a Marcher swing period, performing singular value decomposition grouping and reconstruction, and obtaining a period time sequence, a trend time sequence and a residual time sequence; performing spectral analysis on the periodic time sequence, the trend time sequence and the residual time sequence obtained by decomposition through fast Fourier transform, judging whether the spectral characteristics are the same as those obtained by spectral analysis or not, and if not, continuing to decompose the periodic term; otherwise, reconstructing the earth fluid effective angular momentum time sequence. According to the method, a singular spectrum analysis scheme for setting a stable lag window is provided, signal integrity can be ensured, signal aliasing is avoided, and the extraction precision of quasi-periodic signals is improved; meanwhile, the data fusion consistency is ensured, and the earth fluid effective angular momentum reconstruction precision is improved.

The invention provides a resonance suppression method for a three-phase PWM (Pulse Width Modulation) rectifier with an LCL (Lower Control Limit) filter, which relates to a three-phase PWM rectifier control technology, and is characterized in that on the basis of vector control of power grid voltage orientation, voltage and current sampling is carried out at fixed time intervals, inner loop control is implemented, and on the premise of ensuring volt-second balance in a pulse width modulation process, namely, a PWM process, the voltage and current are sampled at fixed time intervals, so that the resonance suppression efficiency is improved. And the sampling period is minimized. According to the method, the sampling frequency is increased, the system bandwidth is improved, and resonance suppression can be achieved under the low carrier frequency when main circuit parameters are not matched.

The invention relates to the technical field of biological imaging, in particular to a three-dimensional living body imaging system and method, and the system comprises an excitation device which is used for emitting a first parallel Gaussian light spot; the near-infrared structured light generation device is used for modulating the first parallel Gaussian light spot into first dynamic structured light; the first deformable mirror is used for reflecting a structural fluorescence signal in a living body to be imaged to the first dichroscope; the first dichroscope is used for dividing the structure fluorescence signal, reflected by the first deformable mirror, in the to-be-imaged living body into a first path of light and a second path of light; the near-infrared adaptive optical device is used for obtaining aberration according to the first path of light and a specified light structure; the imaging device is used for acquiring a two-dimensional image corresponding to the living body to be imaged based on the second path of light; and the three-dimensional reconstruction device is used for reconstructing the two-dimensional image into a three-dimensional model and controlling the first deformable mirror according to the aberration, so that the aberration between the first path of light and the specified light structure is reduced within a preset range.

The invention provides a time domain characterization and modeling method of an S parameter model of a microwave photonic device, a medium and a device. The method comprises the following steps: completing frequency response data interpolation of an FIR (Finite Impulse Response) digital filter based on an S parameter; designing an adaptive order FIR digital filter; time domain convolution of the input signal is completed based on an FIR digital filter; and correcting the delay amount of the output signal. Compared with an original frequency domain S parameter model, the FIR digital filter model constructed by the method directly calculates the input signal in the time domain, so that repeated time-frequency transformation in each simulation step is avoided, the simulation efficiency of the broadband microwave photon array system link time domain signal flow can be effectively improved, and the simulation efficiency of the broadband microwave photon array system link time domain signal flow is improved. Moreover, time domain signal aliasing caused by frequency domain discretization can be avoided, meanwhile, the FIR digital filter also ensures that the signals do not generate phase distortion, and compared with a traditional method, the method has obvious advantages.

The invention provides a method and device for determining a mine waste water leakage channel and electronic equipment, and relates to the technical field of geological prospecting, and the method comprises the steps: constructing a reflected wave target function based on the instantaneous frequency smooth constraint term, the spectrum energy distribution constraint term and the nuclear norm constraint term of all reflected wave sub-signals, and obtaining a reflected wave leakage channel; all the reflected wave sub-signals can be accurately extracted by solving the reflected wave target function, the signal aliasing problem is avoided, and after the reflected wave sub-signals under each frequency are obtained, the reflected wave field data in the seismic shot gather data are constructed. And removing the reflected wave field data from the seismic shot gather data to obtain scattered wave field data, and performing migration imaging on the scattered wave field data to obtain the mine wastewater leakage channel of the target mine wastewater treatment area. According to the method, effective information of the wastewater leakage channel can be extracted from a complex mine seismic wave field, and an efficient and accurate solution is provided for accurate identification of the mine wastewater leakage channel.

The application relates to a multispectral image reconstruction system, and belongs to the field of image processing. The multispectral image reconstruction system comprises an intensity difference mask convolution demosaicking module, a multi-level convolution feature extraction module, a multi-dimensional attention feature fusion module and a CNN residual reconstruction module; an intensity difference mosaic image is obtained by subtracting a multispectral mosaic image from a single-channel intensity image; the same convolution weight is assigned to pixels belonging to the same MSFA position by adopting a position mask convolution method, different convolution weights are assigned to pixels belonging to different MSFA positions, and a convolution feature map is obtained; multi-level convolution fusion features are obtained based on the convolution feature map; high-frequency convolution features and cross-attention fusion features are extracted based on the multi-level convolution fusion features, and multi-dimensional adaptive fusion features are obtained; residual features are extracted from the multi-dimensional adaptive fusion features, and a multispectral image is obtained. The application can comprehensively recover the missing information of the multispectral mosaic image and improve the reconstruction accuracy.

The invention belongs to the technical field of vehicle tests, and discloses a test device for an automobile smoothness pulse input test and a use method, the test device comprises two groups of photoelectric control lifting bump assemblies, and the lifting bump assemblies of the two groups of photoelectric control lifting bump assemblies are fixed underground at intervals corresponding to the positions of left and right wheels of an automobile. The two groups of lifting bump assemblies are synchronously lifted and stopped, the top surfaces of the lifting bump assemblies are flush, the photoelectric control assemblies are respectively arranged in the ground of a test field and on an automobile frame, and the photoelectric control assemblies control the lifting bump assemblies to be lifted and stopped through electric signals so as to excite front wheels and / or rear wheels of an automobile and automatically reset bumps. The two groups of lifting bump assemblies are fixed under the ground, so that the bumps do not displace, and the test accuracy is ensured; the height of the bump protruding out of the ground is adjustable, more vehicle types are used, and the test cost is saved; the photoelectric control assembly controls the bump to automatically lift and stop, so that the front / rear wheels can be independently excited, and the test accuracy is ensured; the automatic reset of the control bump is time-saving and labor-saving.

The invention discloses a multi-vibrator ultrasonic grinding device which comprises an amplification rod extending from a first end to a second end in the length direction. The plurality of piezoelectric vibrators are connected to the first end of the amplification rod, and the plurality of piezoelectric vibrators are arranged in parallel; the tool head is connected to the second end of the amplification rod; the grinding disc is arranged to rotate around the axis of the grinding disc; and the clamp is arranged between the tool head and the grinding disc, and a plurality of roller mounting through holes are formed in the clamp. The multiple piezoelectric vibrators are jointly connected to the amplification rod, the problem that the diameter of the amplification rod is smaller than one fourth of the wavelength of piezoelectric ceramic rings of the piezoelectric vibrators is solved, the diameter of the output end face of the amplification rod is large, workpieces with larger sizes can be machined, ultrasonic energy can directly act on the cylindrical rollers, multiple cylindrical rollers can be machined at a time, and the machining efficiency is improved. And the batch precision of cylindrical roller machining is ensured while the machining efficiency is improved.

This invention discloses a two-stage hybrid heuristic method for crack path detection in solar cells. The method includes: acquiring an electroluminescence image; generating a crack potential map (CPM) that suppresses background noise and enhances crack features using cascaded morphological processing; dividing the CPM into a coarse-grained region of interest (ROI) grid; searching for a globally optimized ROI path that satisfies spatial continuity constraints in the grid space using a first heuristic algorithm; generating a constrained pixel search space based on the regions contained in this path and after region expansion processing; and finally, searching for the optimal crack path within the constrained space using a second heuristic algorithm based on a movement cost that is non-linearly negatively correlated with the pixel potential value. This invention effectively reduces the search space and, combined with a cost function modified for crack features, achieves high-precision, topologically complete crack path extraction without the need for a high-performance GPU.

The embodiment of the invention provides a voice generation method and device based on a network model, electronic equipment and a medium, and belongs to the technical field of data processing. The network model comprises a plurality of convolution blocks; the method comprises the steps of obtaining a to-be-processed voice signal; performing framing operation on the to-be-processed voice signal to obtain a plurality of voice frames; for each voice frame, performing feature extraction on the voice frame through a network model to obtain a spectrum feature, and determining a feature dimension corresponding to the spectrum feature; inputting the spectral features into a convolution block to enable the convolution block to carry out feature transformation on the spectral features based on the feature dimensions, and outputting a short-time Fourier transform coefficient; and performing inverse Fourier transform on the short-time Fourier transform coefficient to obtain a target voice waveform. According to the embodiment of the invention, signal aliasing can be avoided, and the sound quality of generated voice is improved.

The invention discloses a transformer voiceprint signal denoising method. The method comprises the following steps: acquiring a transformer voiceprint signal by using a sound acquisition device; the method comprises the following steps: optimizing a bandwidth threshold value and a B spline order of time-varying filtering empirical mode decomposition by adopting an improved mountain cat optimization algorithm, and decomposing a collected transformer voiceprint signal into an intrinsic mode function by using the optimized time-varying filtering empirical mode decomposition; segmenting and intercepting the intrinsic mode function by using a sliding window, and constructing a third-order signal tensor by using the intercepted intrinsic mode function; inputting the constructed third-order signal tensor into a Bayesian Gaussian tensor decomposition model for decomposition and reconstruction, and restoring the reconstructed third-order signal tensor into a one-dimensional vector according to a tensor construction inverse process; according to the method, parameters of time-varying filtering empirical mode decomposition are optimized by using an improved Mount optimization algorithm, and an aliasing phenomenon during decomposition is avoided.

An image display device according to the present technology includes: a light emitting unit that emits light; the phase modulator is used for carrying out spatial light phase modulation on incident light from the light emitting unit; and a control unit that causes the phase modulator to perform spatial light phase modulation for generating a first reconstructed image in the first reconstructed image region and a second reconstructed image in the second reconstructed image region, respectively, as reconstructed images generated by spatial light phase modulation of the incident light, the second reconstructed image area and the first reconstructed image area are located at different positions in the image plane direction; a projection lens that projects a first reconstructed image; and a light shielding unit performing light shielding on the second reconstructed image such that the second reconstructed image is not projected by the projection lens.

The present invention discloses a satellite-aircraft bistatic synthetic aperture radar combined mode imaging method, belonging to the field of signal processing technology. The phase error introduced by azimuth spectrum aliasing in the range processing process is avoided by improving the range processing flow; the azimuth processing flow is improved, while avoiding aliasing in the time-frequency domain of azimuth processing, more degrees of freedom are introduced, and the high-order space variation in azimuth is balanced; an accurate calculation method for Doppler space variation parameters of combined mode satellite-aircraft bistatic SAR is proposed, which can obtain high-precision de-skew factors and NLCS equalization factors, and realize efficient and high-precision processing of combined mode satellite-aircraft bistatic SAR. The method of the present invention solves the problem of imaging processing difficulties caused by the complex range migration characteristics and Doppler characteristics of bistatic SAR echo signals, and solves the problem of decreased keystone interpolation accuracy caused by azimuth spectrum aliasing. Simulation results show that the method can effectively realize accurate imaging processing in the satellite-aircraft bistatic SAR combined imaging mode.

The present invention relates to the field of medical image recognition technology, and specifically to a method and system for identifying laryngeal space-occupying lesions based on image recognition, including moving an ultrasonic probe in a patient's larynx along a preset path and collecting a two-dimensional ultrasonic image, mapping pixels of the two-dimensional ultrasonic image corresponding to different scanning points to a spatial three-dimensional coordinate system through scanning positions and scanning directions to obtain a three-dimensional voxel model of the patient's larynx; extracting edges from the three-dimensional voxel model and inputting them into a detection network to obtain a cyst center coordinate position, a cyst shape, a mass center coordinate position, and a mass shape; connecting the cyst center coordinate position and the mass center coordinate position to obtain a path, and obtaining a mass correction center coordinate position through the path and the mass center coordinate position artifact. The present invention reconstructs a three-dimensional image from a two-dimensional image through ultrasound, and when a mass artifact is found in the larynx, adjusts the ultrasound frequency to form a new artifact, and obtains the actual coordinate parameters of the mass through multiple measurements.

The embodiment of the invention provides a logistics information dynamic tracking method and device, equipment and a storage medium, and belongs to the technical field of logistics information processing. The method comprises the following steps: obtaining logistics information formed in a fresh food logistics process, and constructing a disturbance fragment used for representing an environmental parameter deviation process; identifying the logistics operation behavior of the fresh food in the time range corresponding to the disturbance fragment, and generating an operation behavior time window aligned with the disturbance fragment; disturbance morphological characteristics used for representing the environmental parameter change process are extracted from the disturbance fragments; and on the basis of the time coverage relationship between the disturbance fragment and the operation behavior time window, and in combination with the disturbance morphological characteristics, determining an abnormal type corresponding to the disturbance fragment, and carrying out association recording on the abnormal type and the corresponding operation behavior information to form a logistics information dynamic tracking result. According to the scheme of the invention, the operation stage positioning and type determination of the abnormal environment in the fresh food logistics process are realized, and the logistics information dynamic tracking result capable of being continuously traced is formed.

This invention discloses an autocorrelation active fiber cavity ring-down quasi-distributed temperature sensing method and apparatus. The sensing apparatus includes a light source, a first three-port circulator, a plurality of active fiber cavities, a reference CFBG, and a photodetector. The light source is connected to the first three-port circulator, which is also connected to the reference CFBG. The first three-port circulator is connected to the active fiber cavities. Each active fiber cavity consists of a CFBG, a second three-port circulator, an erbium-doped fiber amplifier, a first fiber coupler, and a second fiber coupler. The plurality of active fiber cavities are connected in series, and the reflected light signals are cyclically transmitted and amplified through the plurality of active fiber cavities to achieve multi-point temperature detection. The output end of each active fiber cavity is connected to the photodetector, and the output end of the photodetector is connected to a data acquisition card. The data acquisition card is connected to an external terminal.

This invention discloses a wavelength calibration method for a computational spectral video imaging system, comprising: controlling a spectral lamp to output M sets of standard spectral lines within the imaging spectral range of the computational spectral video imaging system to a narrowband filter group; M being a positive integer; filtering the light beam using the narrowband filter group to obtain a single-spectral-line beam output to the computational spectral video imaging system; imaging using the computational spectral video imaging system to obtain a wavelength calibration mask image corresponding to the center wavelength of the filters; and performing wavelength calibration using the wavelength calibration mask image and the spectral calibration mask image obtained from the computational spectral video imaging system. This invention solves the wavelength calibration problem of high spatiotemporal-spectral resolution computational spectral video imaging systems.

The invention discloses a multi-node sub-frequency point multiplexing method, which is applied to a local communication node of a radio frequency communication network, belongs to the field of communication, and comprises the following steps: determining the relative speed between adjacent communication nodes in a transmission link of the radio frequency communication network under the condition that a data signal is a local originating signal; wherein the transmission link is used for sending the data signal from the local communication node to a target communication node of the radio frequency communication network; determining the transmitting frequency of the data signal according to the determined relative speed and the carrier frequency of the data signal; and sending the data signal according to the transmitting frequency, so that the spectrum interference value of the data signal received by the target communication node is smaller than a preset spectrum interference error threshold. According to the invention, frequency preprocessing is carried out on the sent signal, so that the problem of spectrum interference caused by relative movement between communication nodes in a multi-node communication process is solved.

This invention relates to a Gaussian super-resolution reconstruction method based on physically consistent sparsity and frequency awareness, comprising: performing feature extraction and saliency prediction on the spacecraft image to be processed to obtain a multi-scale deep feature tensor and a foreground saliency mask; using the foreground saliency mask to perform spatial feature modulation on the multi-scale deep feature tensor to obtain a modulated multi-scale deep feature tensor; decoding the feature vector corresponding to each spatial position of the modulated multi-scale deep feature tensor to predict the corresponding Gaussian kernel parameters; based on the foreground saliency mask, performing a physically consistent hard gating operation on the opacity of all Gaussian kernel parameters to generate a sparsified set of Gaussian kernel parameters; and based on the sparsified set of Gaussian kernel parameters, obtaining the final super-resolution result image through differentiable Gaussian sputtering. This method can obtain high-quality arbitrary-scale super-resolution reconstruction results while meeting the high-performance requirements of spaceborne edge devices.

The invention belongs to the field of wireless communication, and particularly relates to a wireless signal coding processing method and system based on multi-dimensional array modeling. The method comprises the following steps: acquiring a target signal received by an antenna array; determining an environment characteristic parameter set of a wireless channel according to the target signal, and determining a time window length and a frequency sub-band number for constructing a multi-dimensional array according to the environment characteristic parameter set; according to the time window length and a preset sampling period, time domain sampling is carried out on the target signal, a time dimension index sequence is constructed, spectral decomposition is carried out on the target signal according to the frequency sub-band number, and a frequency dimension index vector is constructed; determining a spatial dimension index vector according to the physical layout of each antenna unit in the antenna array; and taking the time dimension index sequence, the space dimension index vector and the frequency dimension index vector as dimension coordinates, and constructing a complex number field multi-dimensional array corresponding to the target signal. According to the method, signal characteristics can be more completely reserved, and the adaptability is better.

The present invention discloses a vibration feedback control system of a gantry-type dicing machine, and the present invention relates to the technical field of vibration measurement and control of dicing machines. The vibration feedback control system of the gantry-type dicing machine includes a vibration detection module, a vibration signal processing module, a vibration analysis module, and a vibration control decision generation module. The vibration detection module is composed of sensors arranged at the spindle, the body, and the processing surface of the dicing machine, a signal adjustment unit, and a data acquisition card. The vibration analysis module includes a vibration model and an analysis unit. The present invention realizes the integration of multiple groups of vibration signals, which facilitates the subsequent identification unit to perform overall identification of the correlation coefficient waveforms of multiple vibration sources. Based on the overall identification of a single vibration source, the identification time and identification process are greatly shortened and simplified, and the integration of dicing machine vibration and the shortening of signal data processing time are realized.

According to the electroencephalogram signal monitoring method for the driver, the electroencephalogram signals are processed under the non-denoising condition, the problem that useful information of data of the electroencephalogram signals is filtered out together during denoising is solved, it is ensured that the detection precision is higher, and meanwhile compared with a common analysis method with the electroencephalogram signals subjected to denoising processing as objects, the electroencephalogram signal monitoring method has the advantages that the accuracy is higher; according to the method, the steps are simplified, the execution efficiency is higher, and the method is more suitable for scenes with high real-time requirements.

The embodiment of the invention discloses a multi-ship cooperative cannon control method and device. The method comprises the steps that operation configuration processing is conducted on multiple ships; the main ship predicts the shot time of the next shot; if it is determined that the master ship triggers the boats according to the boats sequence, the master ship sends the boats time of the next boats to all the slave ships towing the cables; if it is determined that the cannon is triggered by the slave ship according to the cannon sequence, the master ship generates a random value, the excitation time of the slave ship is determined according to the random value and the cannon time of the next cannon, and the excitation time of the slave ship is sent to the slave ship waiting for cannon and all the slave ships towing cables; the gun-controlled excitation gun of the ship is triggered by the gun-sounding ship according to the gun-sounding time of the next gun or the excitation time of the ship, and the instrument of the ship is triggered by other ships with cables to acquire seismic data according to the gun-sounding time of the next gun or the excitation time of the ship, so that the problem of collaborative operation in marine towing multi-ship wide-azimuth seismic exploration is well solved; and the problem of seismic data aliasing caused by uncertain seismic source excitation time of several seismic source ships is effectively avoided.

The invention discloses a satellite-airborne bistatic synthetic aperture radar combined mode imaging method, and belongs to the technical field of signal processing. The phase error caused by azimuth spectrum aliasing in the range direction processing process is avoided by improving the range direction processing flow; the azimuth processing flow is improved, while frequency domain aliasing during azimuth processing is avoided, more degrees of freedom are introduced, and azimuth high-order space-variant is balanced; the accurate combined mode satellite-airborne bistatic SAR Doppler space variant parameter calculation method is provided, high-precision deskew factors and NLCS equilibrium factors can be obtained, and high-efficiency and high-precision processing of the combined mode satellite-airborne bistatic SAR is achieved. According to the method, the problem that imaging processing is difficult due to complex range migration characteristics and Doppler characteristics of bistatic SAR echo signals is solved, and the problem that keystone interpolation precision is reduced due to azimuth spectrum aliasing is solved. Simulation results show that the method can effectively realize accurate imaging processing in the satellite-airborne bistatic SAR combined imaging mode.

The invention relates to the technical field of pregnancy risk prediction, in particular to a pregnancy risk prediction system for early pregnancy ultrasonic examination. Comprising a data acquisition module, a preprocessing module used for preprocessing detection data to obtain a user data group, and a processing module used for determining whether the operation of the data acquisition module is qualified based on the abnormal data rate of the user data group, and determining whether the operation of the data acquisition module is abnormal when the operation of the data acquisition module is abnormal. The verification module is used for correcting the acquisition of the user data group based on the image characterization parameters; the data correction module is used for correcting the preprocessing parameters of the detection data; and the acquisition correction module is used for correcting the acquisition parameters of each ultrasonic inspection picture. According to the method, analysis is performed based on the abnormal data rate of the user data set to determine whether the operation of the data acquisition module is qualified, and when the operation of the data acquisition module is determined to be abnormal, the preprocessing parameters for the detection data are corrected, so that the accuracy and reliability of the data are improved, and then the accuracy of pregnancy risk prediction is improved.

The present disclosure relates to a dynamic evaluation method and device for the peak regulation and frequency modulation response capability of a battery swap station based on two-dimensional analysis. The method comprises: constructing a multi-working condition evaluation index system for the peak regulation and frequency modulation response capability of the battery swap station, setting evaluation grades and score thresholds according to the grid operation working condition; using a subjective and objective fusion weight distribution method to calculate the comprehensive weights of static dimension indexes and dynamic dimension indexes respectively, and fusing by the product normalization method; calculating the closeness score of the static dimension of the battery swap station; constructing a dynamic response capability evaluation model based on the grey correlation degree method to calculate the grey correlation degree score of the dynamic dimension of the battery swap station; weighting and fusing the static score and the dynamic score to obtain the comprehensive score of the peak regulation and frequency modulation response capability of the battery swap station, and judging whether it meets the standard and participates in the priority according to the preset threshold. The present disclosure constructs a benchmark sequence consistent with the grid dispatching rules for different evaluation working conditions of the dynamic dimension, and improves the accuracy of the grey correlation degree method in the dynamic dimension evaluation.

A phased array transmitting multi-beam antenna system, through a new architecture of "frequency division + space division + polarization division", greatly improves the flexibility of using phased array transmitting multi-beam phased array antennas in wireless communication systems. For multiple different-frequency transmitting beams, the multi-frequency division method is adopted so that each beam uses its own power amplifier and all antenna units can participate in the free space beam gain synthesis, thereby reducing the power consumption of each beam, and at the same time avoiding the influence of active intermodulation products between beams on other low-gain antennas in the entire payload system; for multiple same-frequency and same-polarization transmitting beams, the main lobe aliasing and side lobe interference are avoided by space division; for multiple same-frequency and different-polarization transmitting beams, the same-frequency interference is avoided by polarization division.

The invention discloses a stress measurement device based on a compact assembly type LCR wave wedge block, and belongs to the technical field of ultrasonic stress measurement. The problems that the thickness of a coupling layer is difficult to keep constant, the signal-to-noise ratio of LCR waves is low and the spatial resolution of measurement is low in the existing LCR wave method stress measurement are solved. Comprising a transmitting end wedge block, a receiving end wedge block, a clamp body, a transmitting transducer and a receiving transducer, the transmitting end wedge block and the receiving end wedge block are oppositely and fixedly connected, inclined planes are machined at the top ends of the two wedge blocks, the two inclined planes are distributed in a splayed shape, and the transmitting transducer is vertically and fixedly arranged on the inclined plane of the transmitting end wedge block; the receiving transducer is vertically and fixedly arranged on the inclined surface of the receiving end wedge block, the clamp body is buckled on the outer sides of the transmitting end wedge block and the receiving end wedge block, and an air gap is formed between the transmitting end wedge block and the receiving end wedge block, so that the propagation of direct waves in the wedge blocks is blocked, and the interference of the direct waves on LCR waves is avoided. And the distance between the transmitting transducer and the receiving transducer is greatly shortened.