623 results about "Digital filter" patented technology

The invention relates to the technical field of audio noise reduction, and discloses a Bluetooth headset environment noise adaptive adjustment method and system, and the method comprises the steps: collecting multi-band sound data of headset environment noise through a preset acoustic sensor array, generating a noise spectrogram, extracting a noise masking threshold through time-frequency joint analysis, and collecting a headset audio signal; next, noise suppression is carried out on the audio signal by using a multi-order digital filter bank to obtain a primary noise reduction signal, the primary noise reduction signal is optimized into an optimized noise reduction signal based on a signal-to-noise ratio, and the frequency response matching degree of the optimized noise reduction signal and the original audio signal is calculated; then, performing phase correction and amplitude-frequency equalization processing according to the frequency response matching degree to obtain an audio equalization parameter; and finally, monitoring residual noise energy based on the parameter, generating a noise regulation and control instruction, driving adaptive sampling, and generating an adaptive noise reduction scheme. According to the invention, the audio noise reduction effect of the Bluetooth earphone can be improved.

The invention discloses a sampling implementation method and system suitable for motor protection quick response, belongs to the technical field of motor protection, and can increase the sampling frequency and improve the quick response of motor fault protection. Comprising the steps that motor phase current and bus voltage are collected, after anti-aliasing filtering is conducted, parallel sampling is conducted through a main ADC module and a redundant ADC module which are independently configured, and the following operations are synchronously executed based on a double-buffer-area framework: in a first buffer area, a compensation coefficient updating period is dynamically adjusted, and convergence is restrained; in the second buffer area, generating a voltage gradient prediction sequence, and compensating data abrupt change; when the harmonic frequency spectrum amplitude or the voltage gradient prediction sequence exceeds the limit, an oversampling mode is triggered, a redundant ADC module is allocated to load a multi-order digital filter, and an independent hardware acceleration unit is started to process harmonic compensation and gradient prediction in parallel; and generating a dynamic safety envelope, and if the gradient extreme value in the preset continuous window breaks through the safety envelope, generating an overvoltage fault signal.

The invention discloses an SF6 gas leakage detection method and system based on a photoacoustic spectrum analyzer, and the method comprises the steps: arranging a sampling end to collect an SF6 gas sample, and obtaining stable gas input through constant-current sampling and steady-state pretreatment; steady-state gas is guided into the photoacoustic spectrum analyzer, and resonance frequency stabilization and signal amplification output are achieved through the self-tuning unit; executing double-microphone differential detection and digital filtering processing, and outputting a stable SF6 detection signal with a high signal-to-noise ratio; performing time calibration, abnormity elimination and consistency processing on the detection signal to generate standardized detection data; inputting the standardized data to a Transform model, and performing inversion to generate an SF6 leakage source position and a diffusion path; and displaying an inversion result on a monitoring interface, triggering a sound-light alarm when the inversion result exceeds a limit, and uploading the inversion result to a cloud monitoring platform. According to the invention, the intelligent photoacoustic spectrum system combining photoacoustic-fluid steady-state control and self-tuning detection is constructed, so that high-sensitivity detection and accurate positioning of SF6 gas leakage are realized.

The invention relates to the technical field of data acquisition, and discloses a distributed photovoltaic data acquisition method and device based on time synchronization. The method comprises the following steps: performing distributed transmission processing on nanosecond synchronous acquisition reference signals through a time delay compensation network to obtain trigger synchronization signals of a plurality of acquisition nodes, and performing data acquisition processing through a multi-channel parallel sampling circuit to obtain original voltage and current data; and carrying out data verification processing on the original voltage and current data through a digital filtering algorithm to obtain effective acquisition data, carrying out string matching analysis processing to obtain string feature distribution, and carrying out data screening processing through a state evaluation algorithm to obtain real-time performance data of the photovoltaic module. Through high-precision clock synchronization and parallel sampling technologies, nanosecond sampling synchronization of a plurality of acquisition nodes is realized, and the acquisition data is ensured to have a strict time sequence corresponding relation, so that an accurate data basis is provided for performance evaluation and fault diagnosis of the photovoltaic module.

The invention relates to a response performance test method and system of a microswitch. The method comprises the following steps: inputting a multi-pulse trigger sequence to a microswitch contact and collecting contact response original data; performing digital filtering processing on the contact response original data to obtain contact response time sequence data; comprehensive response time parameters including contact mechanical action starting time, electrical initial contact time and electrical stable contact time are calculated according to the contact response time sequence data; performing temperature compensation and contact rebound characteristic extraction on the comprehensive response time parameter to obtain contact rebound characteristic evaluation data; according to the contact rebound characteristic evaluation data and the comprehensive response time parameter, the response performance stability of the microswitch under the high-frequency operation condition is calculated, and a reliability evaluation result is generated. According to the invention, the problem of time sequence measurement error caused by the influence of contact jitter in the traditional test is effectively solved, and the accuracy and consistency of contact response time measurement are remarkably improved.

The invention discloses a low-temperature environment LNG (Liquefied Natural Gas) metering sensor drift compensation method and system, and particularly relates to the technical field of sensor drift compensation. Output data of a sensor are collected and processed, and a temperature compensation model of the sensor is established; in the working temperature range, digital filtering processing is carried out on data of displacement change of each measuring range point, and then analysis and mining are carried out; a data longitudinal interval in a temperature range is refined by using a table look-up method, so that the data interval is reduced. And calculating the G value according to the residual error obtained by the table look-up method and the numerical value change condition in each temperature section. If the G value is greater than a preset threshold value of the system, selecting a proper fitting method, such as a least square method or Legendre orthogonal polynomial fitting, according to the distribution of the G value and the data interval when curve fitting is used, so as to further optimize the temperature compensation model; and if the G value is smaller than the system preset threshold value, no subsequent operation is carried out.

The invention discloses a method for detecting and displaying the electric quantity of an earphone, which relates to the technical field of electronic equipment and comprises the following steps of: acquiring an analog signal of battery voltage through an ADC (analog-to-digital converter) channel, converting the analog signal into a digital signal, performing digital filtering processing on the acquired signal, matching a preset voltage-electric quantity mapping table according to an updated battery voltage value, and displaying the electric quantity of the earphone according to the preset voltage-electric quantity mapping table. According to the method for detecting and displaying the electric quantity of the earphone, the voltage of a lithium battery of 0-4.2 V is detected through an ADC differential input mode, the sampling frequency is 100-500 Hz, the precision is 10-12 bits, and signal stability is ensured through low-pass filtering. A sliding window mean filtering algorithm is adopted to process signals, fluctuation and noise are effectively eliminated, and voltage changes are dynamically tracked. A deviation comparison mechanism avoids misjudgment and ensures accurate electric quantity detection. The electric quantity mapping table is dynamically adjusted according to the voltage, the battery use duration and the environment temperature, the earphone electric quantity state is accurately reflected, the user experience is improved, and the electric quantity detection stability and accuracy are improved.

The invention relates to the technical field of welding, in particular to a hot riveting welding head synchronous temperature control method and system based on the temperature change rate, and the method comprises the steps: executing full-power heating pulse triggering operation on a welding head, calculating the pulse duration according to a start timestamp and an end timestamp, calculating the temperature rise, and eliminating peak noise through a digital filtering algorithm; environment temperature and relative humidity are collected in real time, and equivalent heat capacity is calculated; the initial temperature difference between any welding heads is calculated, and a dynamic target temperature curve is constructed; and calculating an actual temperature change rate, synchronously extracting a target change rate of the dynamic target curve at a corresponding moment, calculating a change rate deviation between the two change rates, judging whether intervention adjustment is needed or not, calculating an output signal by using an incremental PID algorithm if intervention adjustment is needed, and adjusting the heating power according to the output signal. According to the scheme, the stability of the hot riveting welding quality is effectively improved by accurately quantifying the thermal characteristics of the heterogeneous welding head, dynamically planning a personalized temperature rising track and performing high-frequency closed-loop regulation and control.

A feature extraction and simulation method for sound signals of an autonomous navigation ship tunnel thruster. A digital filter is used to process measured signals to remove spike signals, and the characteristics of residual wideband floor noise signals are analyzed. A finite impulse response filter is designed, and the impulse response of the finite impulse response filter is convolved with white Gaussian noise, so that simulated noise is matched with frequency-domain characteristics of floor noise signals. A spike signal amplitude is calculated, and a group of sine wave signals having a corresponding frequency are generated as spike signals. Narrowband spike signals and wideband floor signals are superposed and synthesized into simulated tunnel thruster noise. A feasible solution is provided for research and analysis of sound signals of a tunnel thruster. The sound characteristics of the tunnel thruster are accurately extracted, a predicted sound level is improved, and a tunnel thruster sound source database is established, thus providing valuable data support for signal quality analysis of a ship autonomous navigation system, fault diagnosis and improvement of a control strategy for the tunnel thruster.

The invention provides a hysteresis loop analysis method for a transformer no-load loss test, and belongs to the technical field of transformers. Exciting voltage and current signals are collected in a transformer no-load state, and an active filter is used for carrying out digital filtering processing to eliminate harmonic interference; a data corresponding relation between magnetic flux density and magnetic field intensity is established through a digital integration algorithm and a magnetic field intensity calculation formula to form original hysteresis data, the original hysteresis data is processed by using a hysteresis loop optimization model, a complete hysteresis loop curve is generated, and the hysteresis loop area is calculated. According to the hysteresis loop area, the hysteresis loss power density is calculated through the iron loss calculation function, the total value of the transformer no-load loss is obtained by combining the eddy current loss calculation result, and the technical problems that the hysteresis loop reconstruction precision is not high and the complex hysteresis phenomenon cannot be adapted in the transformer no-load loss test are solved.

The invention relates to the technical field of micro electro mechanical system sensors and signal processing, in particular to an acceleration sensor temperature drift compensation method and device and electronic equipment, and the method comprises the steps: obtaining the dynamic response data of an acceleration sensor at a plurality of working temperatures; fitting the dynamic response data to obtain a physical parameter and a continuous time transfer function of the acceleration sensor, and determining a digital filter coefficient according to the physical parameter and the continuous time transfer function; fitting based on the digital filter coefficient and the temperature to obtain a linear drift coefficient of the digital filter coefficient and the temperature, constructing a temperature offset compensation model according to the linear drift coefficient, inputting the working temperature of the acceleration sensor into the temperature offset compensation model, and outputting the digital filter coefficient by the compensation model, and performing temperature drift compensation on the acceleration sensor by using the digital filter coefficient. Therefore, the problems of output distortion caused by the dynamic characteristic of the acceleration sensor along with temperature drift, difficulty in realizing effective temperature self-adaptive dynamic compensation and the like are solved.

The invention belongs to the technical field of cognitive radio, and particularly relates to an open set modulation identification method based on time-frequency domain feature learning and fusion. The method comprises the following steps of: receiving a signal by adopting a receiving antenna through electromagnetic spectrum monitoring equipment, capturing a space electromagnetic radiation signal, converting the space electromagnetic radiation signal into an electric signal, amplifying the signal through a low-noise amplifier, performing frequency conversion and filtering through an analog receiver, and converting the received signal into an intermediate-frequency signal. Then, the signal is digitalized through AD sampling, and the intermediate frequency signal is converted into a baseband complex signal through frequency mixing and digital filtering in a digital receiver. Then performing time domain characterization calculation and frequency domain characterization calculation on the signal sampling data to form a plurality of time domain characterization vectors and a plurality of frequency domain characterization vectors; and then the vectors are sent to a trained deep neural network model, reasoning is carried out by using the network model, a reasoning result is post-processed, and a signal modulation identification result is finally obtained. According to the invention, the recognition accuracy of unknown signals is improved.

The invention discloses a fast-locking low-jitter sub-sampling phase-locked loop structure. The sub-sampling phase-locked loop comprises a sub-sampling Bang-Bang phase discrimination circuit, a self-adaptive variable step size digital filter circuit, a delta sigma digital-to-analog conversion circuit and an oscillator circuit. The sub-sampling Bang-Bang phase discrimination circuit generates a phase discrimination output digital control signal according to an input reference signal and a feedback oscillator signal phase error, the adaptive variable step size digital filter circuit adaptively adjusts a filtering gain according to the phase discrimination output digital control signal, and the output of the filter circuit realizes digital-analog conversion after oversampling modulation. And the output analog signal controls the voltage-controlled oscillator to realize rapid low-jitter phase locking of the output and the reference signal.

The invention relates to a full-dynamic exponential increment type low-delay high-precision analog-to-digital converter, which comprises a loop integrator used for receiving an ith-round input signal, and sequentially performing addition processing and integration processing on the ith-round input signal and a feedback signal calibrated by an (i-1) th round to obtain an ith-round integration signal; the first-order exponential increment error feedback noise shaping SAR quantizer is used for carrying out addition processing and multi-bit quantization on the ith round integral signal and the double (i-1) th round residual signal to obtain an ith round quantization signal; the digital-to-analog conversion module is used for sequentially performing format conversion, mismatch calibration and digital-to-analog conversion on the (i-1) th round of quantized signals in the process of processing the ith round of input signals to obtain feedback signals after the (i-1) th round of calibration; and the digital decimation filter module is used for carrying out digital filtering and down-sampling processing on the ith-round quantized signal to obtain an ith-round Nyquist rate output signal. The system can realize higher significant digits in shorter conversion time.

The embodiment of the invention discloses a numerical control oscillator calibration system. The system comprises a signal detection assembly, a phase discriminator, a numerically-controlled oscillator gain module, a digital filter and a numerically-controlled oscillator, the numerically-controlled oscillator is connected with the signal detection assembly, the signal detection assembly is connected with the phase discriminator, the phase discriminator is connected with the numerically-controlled oscillator gain module, the numerically-controlled oscillator gain module is connected with the digital filter, and the digital filter is connected with the numerically-controlled oscillator. The digital filter is connected with the numerically-controlled oscillator. According to the embodiment of the invention, the initial control word is not directly adjusted, and the tuning control word is additionally generated for adjustment, so that the adjustment process is not influenced by the size of the initial control word, adjustment can be carried out with a smaller code value, and the calibration precision is improved.

The invention provides a switch cabinet partial discharge detection device and method based on pulse current and ultrahigh frequency, and belongs to the field of switch cabinet partial discharge detection. The detection device comprises an acquisition unit, an analog signal processing unit and a digital signal processing unit. The digital signal processing unit comprises a demodulation module, a digital filter, a signal mixing module and a partial discharge identification module. The acquisition unit acquires an ultrahigh frequency signal and a pulse current signal; the analog signal processing unit processes the ultrahigh frequency signal and then transmits the ultrahigh frequency signal to the demodulation module, and processes the pulse current signal and then transmits the pulse current signal to the digital filter; the demodulation module is used for performing orthogonal down-conversion on a signal and then transmitting the signal to the signal mixing module; the digital filter is used for performing passband filtering on the received signal and then transmitting the signal to the signal mixing module; the mixing module is used for fusing the two paths of signals and then transmitting the signals to the partial discharge identification module; and the partial discharge identification module is used for carrying out partial discharge identification according to the received data. According to the invention, the early partial discharge phenomenon can be detected on line.

The invention relates to the technical field of fermentation temperature measurement, in particular to a microbial fermentation temperature high-precision monitoring method and system.The method comprises the steps that correlation between fermentation temperature and fermentation heat data of any fermentation layer at all moments in all time periods is analyzed; determining the data credibility according to the similarity of the fermentation temperature variation trend of any fermentation layer and the fermentation temperature variation trend of all the other fermentation layers, so as to screen out a characteristic time period and a characteristic fermentation layer; and based on the fermentation temperature difference between each moment and the adjacent moment of any characteristic fermentation layer, determining a noise characteristic value to screen out a noise moment, de-noising the fermentation temperature at the noise moment, and monitoring the de-noised fermentation temperature. According to the method, the problem that the real fermentation temperature has no judgment noise and is smoothed when the data is denoised by adopting a traditional digital filtering algorithm is solved, and the precision and the reliability of monitoring the microbial fermentation temperature are improved.

An apparatus for calibrating a digital filter to replicate a transfer function of a signal processing device comprising a detector with a first input to receive a first signal; a second input to receive a response signal of the signal processing device to the first signal; a signal modification block; a comparison block and a decimation block; wherein the comparison-block compares a phase and amplitude of the first signal after a correction has been applied by the signal modification block and decimation has been applied by the decimation block; and a feedback loop; wherein detector is configured to determine at least a feedback control signal at a first frequency and a second frequency, different to the first frequency and determine calibration information for programming of the transfer function of said digital filter.

The invention discloses a video interference signal monitoring system, and the system comprises an abnormal signal detection module which is used for collecting a video signal in a video transmission link in real time based on a sensor technology, and carrying out the abnormal signal detection and recognition of the collected video signal based on a digital filtering technology; the interference analysis module is used for receiving the abnormal signal from the abnormal signal detection module, performing interference type classification on the abnormal signal by adopting a spectrum analysis technology and a machine learning algorithm, and calculating interference intensity to obtain an interference signal analysis result, and the interference signal analysis result at least comprises an interference type; and the adaptive anti-interference module is used for dynamically adjusting a signal transmission parameter or switching an anti-interference strategy based on the interference signal analysis result so as to reduce the influence of the interference signal on the video signal in the video transmission link. According to the invention, the problems of picture distortion, blurring or signal interruption caused by interference in the video signal transmission process can be effectively solved, and stable operation of a video monitoring system is ensured.

The invention provides a digital filter circuit device. The circuit device comprises at least one storage circuit, at least one multiplication and addition circuit, at least one addition circuit, a first data selection circuit, a second data selection circuit and a third data selection circuit, the first data selection circuit inputs discrete digital signals; the storage circuit stores discrete digital signals and filter coefficients; the multiplication and addition circuit performs multiplication and addition operation on the discrete digital signal and the filter coefficient according to a preset corresponding relation, determines a multiplication and addition result and inputs the multiplication and addition result into the second data selection circuit; the second data selection circuit and the third data selection circuit gate corresponding data paths according to a configuration mode and perform input and output, and the addition circuit is used for adding an output signal of the second data selection circuit and an output signal of the third data selection circuit and outputting a filtering result corresponding to the configuration mode. According to the invention, different filter functions can be realized, and the application flexibility of the digital filter is improved.

The invention relates to the technical field of radio frequency signal processing, and discloses a digital filtering repair method and system for signal distortion, and the method comprises the steps: obtaining a frequency domain amplitude-frequency response and a phase response; constructing a phase compensation amount by adopting piecewise polynomial fitting and a phase inversion mechanism; a complex number logarithm domain mapping mechanism is adopted to execute composite frequency response inversion; constructing a switchable hybrid digital filter with an amplitude path and a phase path coupled in parallel; multi-band adaptive scheduling is executed; and outputting the radio frequency baseband signal stream. The technical problems that in the prior art, frequency response nonlinear distortion in a broadband range cannot be dealt with by adopting a fixed template or a single-path filter, and particularly, a high-precision and low-delay dynamic compensation effect cannot be realized in a scene that multi-band coupling interference exists in a radio frequency ADC channel with the bandwidth exceeding 800MHz are solved. Due to the fact that the switchable hybrid digital filter is constructed, accurate modeling and flexible recovery of distortion characteristics in broadband signals are achieved.

The invention provides a precious metal analyzer accurate spot measurement method and system based on a micro-area x fluorescence spectrum, and the method comprises the steps: applying an X-ray light beam to a preset to-be-measured point, adjusting the focusing position of the X-ray light beam through a micro-light beam focusing technology, and generating a micro-area light spot which is aligned with the spot measurement position of the preset to-be-measured point in real time; collecting an X fluorescence signal generated by excitation of the micro-area light spot; performing dynamic noise suppression processing on the X fluorescence signal by using a preset adaptive digital filter to generate a denoised X fluorescence signal; inputting the de-noised X fluorescence signal into a preset spectrum peak value automatic identification algorithm to obtain characteristic peak value data; and matching the characteristic peak value data with a preset precious metal element type database to generate an element spot measurement result. According to the method, the composite problems of displacement drift, signal distortion and element misjudgment in microcell point measurement are solved, and the precision and efficiency of precious metal analysis are remarkably improved.

The invention discloses a root mean square value RMS detection method and system, and belongs to the technical field of measurement and control. Wherein a to-be-detected voltage signal is preprocessed by the filter amplification circuit, a square wave signal synchronous with a sine wave zero crossing point is generated through the zero crossing comparison circuit, a signal period boundary is identified, and an integral number of complete and continuous signal periods are extracted in real time through the period detection module; the cycle information identified by the cycle detection module is transmitted to the data storage and processing module, meanwhile, the sampling signal of the high-speed ADC module is transmitted to the data storage and processing module, and sine wave data sampled by the high-speed ADC module is subjected to point-by-point square operation; the square values in a complete period are accumulated and summed, and an original sampling sequence is not stored; fIR digital filtering is carried out on the RMS values of continuous C periods through a digital filtering module; and the dynamic response performance of the system under different frequency bands is remarkably enhanced while the measurement precision is improved.

According to one embodiment, a code recognition method includes: receiving a color image including a portion in which a code is inscribed; generating a first image where a first color correction is applied to the color image so as to change at least one of a ratio of RGB and a combination of HSV; generating a second image in which a first preprocessing digital filter that performs digital filter correction is applied to the first image; generating a third image in which a second color correction different from the first color correction is applied to the color image so as to change at least one of a ratio of RGB or a combination of HSV; generating a fourth image in which a second preprocessing digital filter that performs digital filter correction is applied to the third image; and performing recognition of the code using the second and the fourth images.

METHOD FOR DETECTING A DRONE AND ITS REMOTE PILOT AND SYSTEM FOR IMPLEMENTING IT Method (500) for detecting a drone (21) and / or a remote pilot (22) in a monitored area (300), said method comprising an acquisition step (510) on at least one receiver (111) of a plurality of frames of a digital signal (yn, y'n) to be analyzed, said method comprising the following steps: (513) digital frequency filtering of the digital signal (y'n) in narrow frequency bands (wk) producing a number K of filtered digital signals (zn,k); (521) estimation of the energy levels (Ek) of the filtered digital signals (zn,k) obtained in the digital filtering step (513); (523) construction of a time-frequency state matrix (SM) of the energy levels (Ek) ;(524) calculation of a transition matrix (MT), based on a first-order derivative of the state matrix (ME) ;(525) calculation of an average rate of change (α) of the transition matrix (MT);and (526) detection of the presence of the drone (21) and / or the remote pilot (22) as a function of the value of the average rate of change (α). Figure of the abstract: Figure 1;

The invention discloses a monitoring system and a monitoring method based on an electrocardiograph, which belong to the technical field of electrocardiographs, and are characterized in that interference levels are dynamically divided by extracting a common-mode offset change rate and a phase drift value between leads and carrying out normalized weighted calculation on an error severity index ESEI; under the moderate interference level, the digital filtering intensity is further adaptively adjusted based on the ESEI change trend, accurate evaluation and response regulation and control of the signal quality problem are achieved, and therefore the stability, the accuracy and the intelligent level of an electrocardiogram monitoring system in a complex application scene are effectively improved.

Data transceivers including a transmitter configured with a digital filter, and a receiver configured with an equalizer, are equipped with logic to measure a combined pulse response to a symbol generated by the transmitter at an output of the equalizer, adjust the combined pulse response by an impulse response of the digital filter to generate an adjusted pulse response, and modify the digital filter with one or more floating taps based on the adjusted pulse response.

Systems and methods are provided that derive dynamically adjustable fractional delay, frequency equalization and bandpass filtering for coherent combining of distributed antenna signals. The systems and methods include functions that dynamically adjust the coefficients of a single filter component of a signal channel to adapt to current environment variables affecting signals both resident within a single channel and resident across multiple channels being combined. This includes measuring frequency response characteristics at an output of an intermediate frequency channel and deriving sets of coefficients. Each set of coefficients provides a unique delay that is a fraction of a sample clock period that when loaded in a digital filter induces a fractional delay in a signal being filtered by the digital filter. Preferably, weighted average filtering of equally spaced intermediate frequency spectral frequency measurements is included.

The utility model relates to the technical field of digital-to-analog conversion, and discloses a Delta-Sigma ADC data reading device, which comprises a power supply circuit, a photoelectric conversion circuit and a minimum system unit, one end of the power supply circuit is connected with an external direct-current power supply, and the other end of the power supply circuit is connected with the power supply end of the photoelectric conversion circuit and the power supply end of the minimum system unit; one end of the photoelectric conversion circuit is connected with an optical signal input end, and the other end of the photoelectric conversion circuit is connected with a signal end of the minimum system unit. According to the utility model, the minimum system unit with the built-in digital filter is adopted to replace a bit stream data conversion chip in the traditional scheme, so that the cost is reduced, and the area of a printed circuit board is saved; and the data interaction process between the active filter chip and the MCU is omitted, and the information transmission efficiency is improved.

The invention discloses a digital gain control method and system for power grid dual-mode communication, and belongs to the technical field of communication. The system comprises an analog front-end module, a digital system module and a synchronous system module; the analog front-end module comprises a programmable gain amplifier and a digital-to-analog converter; the digital system module comprises a digital filtering module, a left shift amplifier, a data stack, a bidirectional shift amplifier, a first data path selector, a second data path selector, a core control module and a processor; after a received signal is processed by the analog front-end module, a quantized digital signal obtained after processing is transmitted to the digital system module, and finally data processed by the digital system module is output to the synchronous system module, so that digital gain control of communication is completed. The technical problems of poor signal data consistency and poor stability in a digital gain control process in the prior art are solved.