2111 results about "Digital signal processing" patented technology

The invention discloses a power supply real-time compensation technology and application based on digital signal processing, and relates to the technical field of power electronics, and the power supply real-time compensation technology comprises a split-phase parallel processing architecture: a three-phase independently configured DSP core, each core integration comprises a real-time harmonic detection module, a dynamic sliding window FFT-RT algorithm is adopted, and the window length is adjustable in a set range; the bandwidth of the self-adaptive variable parameter filter can be dynamically adjusted in a set range; the FPGA coprocessor is specially used for PWM generation; an input stage of the harmonic prediction and decomposition module is synchronously acquired by a multi-source sensor; the processing layer comprises an improved VMD decomposition unit and a variational mode decomposition order; the edge prediction network is used for deploying a lightweight LSTM model, embedding a DSP core and predicting a harmonic spectrum in a future short period; and the multi-target dynamic optimization layer is used for setting a dynamic weight distributor and performing real-time adjustment according to the load sudden change rate. According to the invention, through split-phase parallel architecture, harmonic prediction and dynamic optimization, the response speed, multi-target cooperation and reliability improvement in the field of power supply real-time compensation are realized.

A system for material detection and identification includes an interface configured to access a material database associating each of a plurality of materials with a resonance frequency and one or more transmission parameters; an RF transmitter configured to, for each material of at least a subset of the plurality of materials in the material database transmit into an environment an RF signal the resonance frequency for the material using the one or more transmission parameters; an RF receiver configured to receive a response signal from the environment; and a processor configured to analyze the response signal for resonance characteristics that indicate a presence of the material and identify the material to a user if the presence of the material is indicated by the resonance characteristics.

In the present invention, a location joint monitoring solution based on the state of a distributed optical fiber and based on an ultra-short baseline is used, and the solution consists of a distributed optical fiber monitoring device, an ultra-short baseline positioning device and a health monitoring host computer. The distributed optical fiber monitoring device consists of a distributed optical fiber cable (300), a distributed optical fiber demodulator (421), etc. The ultra-short baseline positioning device consists of an ultra-short baseline array (200), an underwater beacon (100), a signal processing device (411), etc. The health monitoring host computer (431) can perform signal conditioning, digital signal processing and parameter estimation by means of the signal processing device and the distributed optical fiber demodulator and by using acquired data such as key point locations, deformation and postures, and complete space curve reconstruction of an underwater riser by means of a space curve reconstruction algorithm and an existing finite element analysis software platform, thereby realizing visual outputs of an underwater state of a marine riser.

A LiDAR apparatus, including: a laser to generate an optical signal; modulation components configured to receive the optical signal as an input and to output at least two corresponding modulated optical signals at respective output ports, wherein each modulated optical signal is modulated by a corresponding pseudo-random bit sequence, and: (i) the optical signals have respective different delays such that the modulations do not overlap in time; or (ii) the pseudo-random bit sequences have low cross-correlation; for each of the at least two modulated optical signals, a corresponding optical transmitter configured to transmit the corresponding modulated optical signal towards a corresponding surface spaced from the LiDAR apparatus by a corresponding distance, and a corresponding optical receiver configured to receive a portion of the transmitted optical signal scattered and / or reflected by the surface, the received portion of the optical signal having a phase shift and / or Doppler shifted angular frequency due to radial motion of the LiDAR apparatus relative to the surface; at least one photodetector to receive the optical signals received by the optical receivers, interfered with a reference beam, and to generate a corresponding output signal; at least one analogue to digital converter to generate a digital signal representing the output signal from the at least one photodetector; and a digital signal processing component configured to process the digital signal to generate LiDAR data representing the distances to the surfaces and / or relative velocities of the surface(s) with respect to the apparatus.

The invention discloses a calibration system in an active channel of a waveguide array phased-array antenna, and relates to the technical field of calibration in the active channel. Comprising a calibration judgment module, a waveguide directional coupling module, an amplitude-phase detection module and a digital domain optimization module, the calibration judgment module realizes intelligent triggering calibration through real-time monitoring of a multi-dimensional environment and performance parameters, and ensures that a calibration process is started only when the system state is deteriorated; the waveguide directional coupling module ensures that the calibration signal is accurately injected into each channel, and realizes cross polarization suppression through a polarization grid filter; the amplitude-phase detection module realizes high-precision measurement of amplitude, phase, group delay and polarization parameters of feedback signals of each channel by using superheterodyne and IQ demodulation technologies; and the digital domain optimization module calculates and updates the complex compensation weight of each channel through real-time digital signal processing and a self-adaptive algorithm, and realizes comprehensive and accurate calibration in combination with temperature-frequency interpolation and nonlinear pre-distortion compensation.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The invention discloses a time hopping code estimation and multi-hop coherent combination method and device for satellite communication, and belongs to the field of digital signal processing. A sending end disperses information symbols in specified time slots of different time frames for repeated transmission, the time slot where a sending signal is located is determined by a time hopping code, and both communication parties agree that the time hopping code changes randomly within a predetermined range. And a receiving end performs time hopping code and carrier phase joint estimation on the time hopping signal transmitted through the AWGN channel by using a cross entropy iteration method. Performing binary quantization on a time hopping code and a carrier phase, obtaining an estimated value of the time hopping code and the carrier phase according to a binary quantization bit generation probability, selecting a time slot where a signal is located and compensating the carrier phase, performing coherent combination on multi-hop signals, and selecting a sample with small combined signal-to-noise ratio loss to update the binary quantization bit generation probability. And iterating to obtain a global optimal vector group. According to the global optimal vector group, multi-hop coherent combination is realized, the demodulation signal-to-noise ratio is improved, and the reliability of time-hopping communication is effectively improved with low complexity.

The invention discloses a low-complexity decoding method of an LDPC-Hadamard code based on a prototype graph, and belongs to the field of digital signal processing. The implementation method comprises the following steps of: performing LDPC (Low Density Parity Check) coding on information bits, and coding a constraint relationship of check nodes of the LDPC code into a Hadamard code to obtain a prototype graph of the LDPC-Hadamard code; after coded code words are sent and received through a channel, a PVN node and an HCN node are initialized by using the received information; carrying out Hadamard decoding by using a symbol-by-symbol maximum posterior probability decoding algorithm, reducing decoding complexity by using approximate operation of DFHT, and transmitting information obtained after decoding to a PVN node; summing the updated HCN node information and the last iteration information, and judging and decoding by using a summing result; and performing decoding judgment on the PVN information, and performing decoding. According to the method, LDPC coding, Hadamard coding and Max-Log approximate calculation methods are combined, the decoding complexity is reduced, and the stability and reliability of a communication system are enhanced.

The invention relates to the technical field of digital signal processing, in particular to a big-data-oriented digital signal processing method and system, and the method comprises the following steps: obtaining sampling data, recognizing an abnormal boundary, extracting polarity inversion frequency, analyzing synchronism, calculating a relative time difference to generate a deviation graph, and carrying out the clustering to obtain a signal synchronous reconstruction data set. According to the invention, fine positioning of the abnormal section boundary is realized through difference and extreme value determination, sensitivity and accuracy of signal boundary identification are enhanced, polarity inversion frequency statistics reveals a local fluctuation characteristic change trend, and expression ability of an internal disturbance structure of the abnormal section is improved. A synchronization index is constructed to reflect processing consistency and response synchronization characteristics among threads, relative time difference alignment analysis is performed to quantify the thread time sequence drift degree, the recognition depth of asynchronous behaviors is enhanced, and a density distribution clustering and gradient normalization mode reveals a local disturbance rule of sampling behaviors. And the processing stability and the detail identification capability of the big data in a dynamic environment are improved.

The invention relates to the technical field of encoders, in particular to an incremental optical encoder signal error compensation system and method.The incremental optical encoder signal error compensation system comprises a signal acquisition module, a preprocessing module, an error analysis module, a compensation operation module, a data storage module and an output control module; the preprocessing module preprocesses the original signal; the error analysis module analyzes and identifies the error type and characteristics of the processing signal in a multi-dimensional manner, and calculates compensation values of the scribing error, the subdivision error and the eccentric error through the compensation operation module; a compensation value is superposed with an original signal, a compensated high-precision signal is obtained, the output control module outputs the high-precision signal to a subsequent device, meanwhile, system parameters are adjusted according to an external instruction, a high-precision error model is constructed by the system, and the high-precision error model is obtained by combining an advanced digital signal processing technology and an intelligent algorithm. And the scribing error, the subdivision error, the eccentric error and the like of the encoder are effectively compensated.

The invention discloses an adjusting method of an intelligent sound box, intelligent equipment and a storage medium. Sound data of an environment where the intelligent sound box is located is collected, acoustic characteristic analysis is performed on the environment, acoustic parameters related to the intelligent sound box are automatically adjusted according to an acoustic analysis result, an acoustic model is formulated, and the intelligent sound box is adjusted according to the sound listening preference of a user. And formulating an acoustic model matched with the listening preference of the user. According to the invention, different listening environments can be automatically identified and adapted, the acoustic characteristics of the environments are analyzed in real time, and the frequency response and sound directivity of the sound box are automatically adjusted by applying a digital signal processing algorithm and a machine learning technology, so that personalized acoustic experience is provided for a user, and the overall sound quality effect is improved.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The disclosure generally relates to a method, system and apparatus for processing audio through a neural network contained in a hearing device. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The invention discloses a photovoltaic equipment networking control method and system, and relates to the technical field of photovoltaic power generation, when the system runs, a data acquisition module ensures high-precision current signal acquisition, and a digital signal processing module removes noise and enhances signal quality through low-pass filtering and convolution operation; the signal conversion module comprehensively analyzes frequency spectrum information by using FFT (Fast Fourier Transform), and the data analysis module extracts harmonic components, calculates a total harmonic distortion rate THD and provides an accurate filter adjustment scheme; the regulation and control module calculates a power factor Pf and a flash variable Fb, comprehensive power quality evaluation is carried out in combination with THD, it is ensured that the system operates in the optimal state, and the system effectively solves the problems that in traditional photovoltaic equipment networking, current signal collection precision is low, signal processing is unstable, harmonic distortion is difficult to monitor, and power quality is difficult to comprehensively evaluate. And the power output quality of the photovoltaic equipment and the reliability and economic benefits of the whole power system are remarkably improved.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The invention discloses a high-performance low-complexity LDPC (Low Density Parity Check) decoding method for satellite communication, and belongs to the field of digital signal processing. And performing iterative decoding on the received channel information based on a low density parity check (LDPC) code in the 5G standard. The implementation method comprises the following steps of: dynamically setting an erasing range by utilizing the amplitude of current check node information when a variable node is updated; the amplitude of check node information is gradually increased along with the increase of the number of iterations, the whole iteration process is divided into two parts, and the erasing range is set by adopting different parameters. And outputting the decoding result when the decoding result is correct or reaches the maximum number of iterations. According to the method, the reliability of variable node information is improved through the two points, reliable variable information is prevented from being erased, unreliable variable node information is prevented from being spread, and excellent decoding performance is achieved. Non-linear operation in a log-likelihood ratio belief propagation algorithm LLR-BPA does not exist in the decoding algorithm, and the decoding algorithm has the advantages of being high in decoding performance and low in decoding complexity.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

The invention relates to the technical field of particle accelerators, in particular to a transverse feedback system with a switchable excitation direction and a control method thereof, and the system comprises a beam position detector BPM which is used for measuring a beam signal; the RF front end is used for receiving the beam signal sent by the beam position detector BPM and carrying out amplification and filtering processing; the ADC module is used for converting the beam signal into a digital signal; the digital signal processing module is used for carrying out digital signal processing calculation to obtain an excitation signal; the DAC module is used for carrying out digital-to-analog conversion; the power divider is used for adjusting the phase of the excitation signal; the exciter comprises four Kickers with electrodes, a power amplifier, a low-pass filter and a matched load and is used for applying a transverse excitation signal to the beam current, and the problems that in the prior art, a transverse feedback system Kicker occupies a large longitudinal space, the system is complex, and precision and efficiency are low are solved.

A system and method for detecting anomalies in encrypted network traffic without decrypting encrypted payloads is disclosed. The invention comprises a hardware-accelerated pipeline including a packet acquisition unit configured to extract observable header attributes and timestamp values, a signal analysis unit implemented using digital signal processing circuitry to generate temporal and spectral characteristics of encrypted packet flows, and a morphometric extraction unit that produces encrypted-flow descriptors based on statistical dispersion, burst patterns, and ciphertext variability. A behavioral graph construction unit generates graph-structured representations of encrypted flows using incremental state-transition encoding. An artificial-intelligence inference unit employing a tensor-processing processor performs multi-stage anomaly analysis through temporal reconstruction, attention-based weighting of descriptors, and graph-structural deviation assessment to compute anomaly scores without decrypting any payload. A secure response control unit evaluates the scores against policy thresholds and performs mitigation actions while preserving confidentiality.

The embodiment of the invention relates to the technical field of digital signal processing, and discloses a DC-DC module control method and device, a medium and a product. Comprising the following steps: performing electrical parameter sampling on a DC-DC module, and judging whether a current working mode is a Buck mode or a Boost mode through a comparator circuit; calculating the deviation between the output voltage and the target voltage in the real-time electrical parameters, generating a PWM duty ratio adjusting signal, and generating a plurality of paths of staggered PWM driving signals through a phase shift circuit; performing power distribution on the multiple paths of staggered PWM driving signals, and adjusting the conduction time of each path of switch tube to obtain a current-sharing control signal; and analyzing the real-time electrical parameters, the current working mode, the PWM duty ratio adjustment signal, the multi-path staggered PWM driving signal and the current-sharing control signal to obtain a dynamic adjustment strategy. The technical problem that the control accuracy and efficiency of the DC-DC module are low can be at least solved.

The invention discloses a low-orbit satellite measurement and control data transmission function application efficiency improving system, and belongs to the technical field of low-orbit satellite communication. A data storage unit equipped with a file management system is integrated, and the storage unit is divided into areas with different priorities. And the data transmission signal processing unit can read the data according to the priority sequence or a certain pre-planned fixed priority. Besides, the load monitoring unit can carry out power-up and default parameter configuration on a satellite load single machine or module according to preset ground station capability and position parameters in combination with the real-time position of the satellite, so that accurate adjustment of the satellite state is realized, and energy consumption is reduced. The method has the remarkable advantages that autonomous operation of the satellite load is supported, and meanwhile self-adaptive adjustment of the data transmission rate and high-frequency rapid return of all working parameters of the load are considered.

The invention provides a signal clock recovery method and device for high-speed serial data and communication equipment, and relates to the technical field of digital signal processing, and the method comprises the steps: carrying out the histogram statistical analysis of a collected signal based on a voltage direction, and obtaining a probability density curve; obtaining a bottom value and a top value based on the probability density curve; obtaining a high level threshold value and a low level threshold value based on the bottom value and the top value; based on the high level threshold value and the low level threshold value, extracting and obtaining a signal edge cross point sequence; calculating a signal edge cross point difference value based on the signal edge cross point sequence; and performing clock recovery based on the signal edge cross point difference to obtain standard clock data. Through the steps, the problem that in the prior art, the reliability of generating the jitter signal is relatively low is solved.

The present disclosure involves a medical device. The medical device includes an elongate cable assembly having a distal connector, a proximal connector, and a cable body coupling the proximal and distal connectors. The distal connector is configured for coupling with a diagnostic medical device. The proximal connector is configured for coupling with a medical measurement system. An electronic component is located inside the distal connector or the associated cable housing. The electronic component includes an analog-to-digital converter (ADC) and a microprocessor. The ADC is configured to receive medical data gathered by the diagnostic medical device and convert the medical data into digital signals. The microprocessor is coupled to an output of the ADC and configured to process the digital signals into a format that is readable by the medical measurement system.

The invention belongs to the technical field of underwater acoustic engineering and digital signal processing, and particularly relates to a fractional delay FIR (Finite Impulse Response) phase calibration method and system of a multichannel sonar system. Comprising the steps of signal acquisition and reference channel selection; high-precision relative delay estimation; calculating a cross-correlation function of other channel signals and the reference channel signal, performing coarse estimation by searching a peak point of the amplitude of the cross-correlation function, and performing fine estimation on the peak position by using a parabola interpolation method to obtain the delay time of each channel relative to the reference channel; designing an FIR fractional delay filter; digital filtering and phase calibration; verifying a calibration effect; and calculating the phase of each channel signal at the target frequency point after calibration, and counting the standard deviation of each channel signal so as to evaluate the improvement degree of phase consistency. The method aims at overcoming the defect that traditional integral multiple sampling delay correction precision is insufficient, high-precision phase compensation of a sub-sampling point level is achieved, and therefore the performance of algorithms such as beam forming of a multi-channel sonar system is remarkably improved.

A system for material detection and identification includes an interface configured to access a material database associating each of a plurality of materials with a resonance frequency and one or more transmission parameters; an RF transmitter configured to, for each material of at least a subset of the plurality of materials in the material database transmit into an environment an RF signal the resonance frequency for the material using the one or more transmission parameters; an RF receiver configured to receive a response signal from the environment; and a processor configured to analyze the response signal for resonance characteristics that indicate a presence of the material and identify the material to a user if the presence of the material is indicated by the resonance characteristics.

The invention provides a device and a method for on-line detection and precise regulation and control of the sowing depth and the sowing amount of a peanut precision seeder. An ultrasonic distance measuring sensor, an optical fiber counting sensor, a double-shaft tilt angle sensor, a linear displacement sensor, a photoelectric rotary encoder and the like are used for acquiring operation information such as the seeding depth, the seeding quantity, the seeding machine tilt angle, the expansion amount of an electric cylinder telescopic mechanism, the machine tool speed and the seeding frequency of a seeding machine in real time; through digital signal processing and conversion, STM32F103ZE single-chip microcomputer processing, control algorithm optimization, on-line detection of the seeding depth and the seeding condition of the seeder, real-time adjustment of the seeding depth and real-time reseeding, real-time accurate regulation and control of peanut seeding are realized, and it is ensured that peanut seeding meets the requirements for consistency of the seeding depth and the seeding distance; meanwhile, the whole sowing process is more automatic and efficient, manual intervention is not needed, manpower and material resources are saved, and good economic benefits are achieved.

The invention provides a transformer type differential signal acquisition system and method, and relates to the technical field of signal acquisition, and the system comprises a switching power supply module which is used for supplying power to the system; the input module is used for collecting wire feedback signals; the operational circuit is used for rectifying the feedback signal, performing differential processing and filtering on the rectified feedback signal to obtain a differential filtering signal, adding bias voltage to the differential filtering signal, and amplifying the differential filtering signal to obtain an amplified signal; the analog-to-digital conversion module is used for converting the amplified signal into a digital signal; the CPU processing module is used for processing the digital signal, generating a control signal and sending the control signal to the output module and the communication module; the output module is used for generating current according to the control signal; and the communication module is used for sending the control signal to an upper computer through the communication interface, so that the upper computer calibrates the linear variable differential transformer. The linear variable differential transformer has the technical effect that the measurement precision of the linear variable differential transformer is improved.