34results about How to "Improved noise suppression" patented technology

The invention discloses a passive feed-forward noise shaping SAR ADC structure and a quantification method thereof. The structure comprises a second-order noise shaping circuit based on a charge pump, a sampling switch circuit, a DAC capacitor array, a six-input comparator and a logic control circuit. The method comprises the following steps: sampling an input analog signal to an upper pole plate of a DAC capacitor array; carrying out inter-board capacitor voltage switching processing according to the control signal, and outputting a successive approximation voltage signal; obtaining quantization residual voltage in inter-board capacitor voltage switching processing, performing second-order noise shaping filtering processing, and outputting a first-order integral voltage signal and a second-order integral voltage signal; comparing the successive approximation voltage signal, the first-order integral voltage signal and the second-order integral voltage signal to obtain a digital code; and carrying out inter-board capacitor voltage switching according to the digital code to obtain a quantization result. According to the embodiment of the invention, the power consumption of the SAR ADC structure can be reduced, and the quantization precision of the SAR ADC structure can be improved. The circuit can be widely applied to the technical field of integrated circuits.

The invention relates to the technical field of wind power generation control, in particular to a generator device and a control method thereof. The method comprises the following steps of performing real-time monitoring on noise frequency, amplitude and phase when a generator device operates, and generating a noise characteristic data set; extracting the main frequency and phase characteristics of a noise source from the noise characteristic data set, and performing reverse analysis on the data to generate reverse sound wave signal data opposite to the phase of the noise source; and the reverse sound wave generating device transmits the reverse sound wave signal data to the generator device, outputs reverse sound waves through a broadband loudspeaker, superposes the reverse sound waves and original noise in the space, and monitors the noise after noise reduction in real time to obtain noise reduction effect feedback data. According to the invention, noise characteristics are monitored in real time, matched reverse sound wave signals are extracted and reversely generated, reverse sound wave characteristics are dynamically adjusted, closed-loop adaptive control is formed, and efficient and stable noise reduction of a generator device is realized.

The invention provides a signal noise suppression method and system, a storage medium and electronic equipment, and the method comprises the steps: obtaining the original data of a partial discharge signal of a switch cabinet, and carrying out the feature extraction of the partial discharge signal; performing noise suppression on the partial discharge signal after feature extraction, determining a signal-to-noise ratio and a mean square error, and judging the quality of a noise suppression effect according to the signal-to-noise ratio and the mean square error; and optimizing a noise suppression effect according to a comparison result of the noise-suppressed data and the noise-free signal. According to the invention, feature extraction is carried out on the partial discharge signal and then noise suppression is carried out, so that the accuracy of signal feature extraction is improved; the noise suppression effect is continuously optimized according to the comparison result of the data after noise suppression and the noiseless signal, and the noise suppression precision of the complex noise feature in the partial discharge signal of the switch cabinet is improved.

The invention relates to an analog active EMI filter with a double-ring structure and a noise suppression verification method. The EMI filter comprises a direct-current power supply, an LISN circuit, a voltage detection circuit, an injection circuit, an amplification circuit and a switching power supply, the direct-current power supply, the LISN circuit, the voltage detection circuit, the injection circuit and the switching power supply are sequentially connected in parallel, the injection circuit comprises a voltage injection branch and a current injection branch connected with the voltage injection branch in parallel, the voltage injection branch and the current injection branch are used for voltage injection and current injection respectively, and the amplification circuit comprises a first anti-phase amplification branch and a second anti-phase amplification branch connected with the first anti-phase amplification branch in parallel. The first anti-phase amplification branch circuit is respectively connected with the voltage detection circuit and the current injection branch circuit to form a first annular structure, and the second anti-phase amplification branch circuit is respectively connected with the voltage detection circuit and the voltage injection branch circuit to form a second annular structure. Compared with the prior art, the method has the advantages of realizing an effective noise interference suppression effect and the like.

The invention discloses a high-sensitivity low-noise hydrophone system structure based on a four-core optical fiber. The high-sensitivity low-noise hydrophone system structure comprises a laser, an optical modulation and beam splitting module, a four-core optical fiber hydrophone and a phase demodulation and noise suppression processing module. The four-core optical fiber hydrophone comprises a first reference optical fiber unit, a first cascade sensitization channel, a second reference optical fiber unit and a second cascade sensitization channel, the first reference unit and the first cascade sensitization channel output interference optical signals I1 and I2 respectively, and the second reference unit and the second cascade sensitization channel output interference optical signals I3 and I4 respectively. The device is applied to the field of hydrophones, a four-core optical fiber is used for constructing an ultra-long convolution sensitization optical path, then inter-channel noise correlation is used for constructing a multi-channel interference complementation optical path, sensitivity improvement and self-suppression of common-mode noise are achieved at the same time through combined processing, an additional optical fiber interferometer does not need to be introduced, the noise is irrelevant to a transmission optical path, and the cost is low. And the complexity and the background noise of the system are reduced.

The invention discloses a combined preprocessing and fusion decoding method based on electroencephalogram signals and functional near-infrared signals, which comprises the following steps of: synchronously acquiring the electroencephalogram signals and the functional near-infrared signals, taking a task trigger event as a unified time reference, and carrying out basic preprocessing of time alignment and modal self-adaption on two modal signals to obtain a functional near-infrared signal; a pre-trained cross-modal noise joint modeling module is utilized to perform joint modeling on cross-modal joint noise features caused by a common noise source, collaborative denoising processing is performed on multi-modal signals based on the cross-modal joint noise features, multi-modal denoising representation is obtained, a cross-modal feature interactive modeling mode based on an attention mechanism is obtained, and the multi-modal noise is obtained. And dynamically modeling the correlation between different modal features, realizing deep fusion of multi-modal complementary information, carrying out decoding processing based on the fused features, and outputting a corresponding brain-computer interface control instruction or task identification result. According to the method, the decoding accuracy and robustness of the brain-computer interface system in a complex task scene are enhanced.

The invention relates to the technical field of power supplies, in particular to a signal processing system and electronic equipment. The signal processing system comprises a filter circuit and a debugging circuit. The filter circuit comprises a filter module and a control module; the filtering module is used for generating a first suppression signal after receiving a noise signal generated by a noise source; the control module is used for evaluating a target elimination signal matched with the noise signal and dynamically analyzing an error with the target elimination signal to generate a second suppression signal, and the first suppression signal and the second suppression signal serve as noise suppression signals; and the debugging circuit is used for acquiring an error between the noise suppression signal and the target elimination signal and performing gain adjustment processing on the filter circuit. Through the above mode, the precision of suppressing the noise signal of the switching power supply module can be improved, and the noise suppression signal can be adaptively and dynamically adjusted based on the noise signal, so that the generalization of the signal processing system is improved.

The application discloses a kind of active shock absorption and steady control system and method based on voice coil motor, it is related to mechanical vibration control technical field.The method is by obtaining the phase signal synchronous with excitation source, directly from waveform look-up table index and output opposite phase drive instruction, drive voice coil motor to generate counterforce.Meanwhile, the system uses the residual acceleration of non-causal filtering processing in background, and adaptively updates waveform look-up table.The application adopts feedforward control, avoids the phase delay caused by filtering in traditional feedback control, can accurately suppress high-frequency periodic vibration with very low delay, significantly improves operation comfort.

The application discloses the technical fields of measurement, and particularly discloses a kind of measurement circuit for detecting weak current in multi-channel nanopore system, it includes: overcurrent protection module, switch matrix module, R-TIA module, overvoltage protection module, signal processing module, signal acquisition module, DAC module;Overcurrent protection module input port is connected with nanopore, overcurrent protection module output port is connected with the input port of switch matrix module in series, the output port of switch matrix module is connected with the negative input port of R-TIA module in series, the output of R-TIA module is connected with the input port of overvoltage protection module, the output port of overvoltage protection module is connected with the negative input of operational amplifier OPA2 of signal processing module, signal processing module is connected with signal acquisition module;The output of DAC module is connected with the positive input of operational amplifier OPA2 in R-TIA module and signal processing module respectively.

The present invention relates to the field of radar technology, and in particular to a low-complexity InISAR three-dimensional imaging method based on joint sparse recovery, comprising the following steps: establishing the geometric structure of an InISAR imaging system, and establishing an InISAR imaging sparse reconstruction model that conforms to a JSM-2 model according to the geometric structure of the InISAR imaging system; performing unitary transformation on the established InISAR imaging sparse reconstruction model that conforms to the JSM-2 model according to unitary transformation approximate message passing UTAMP, and establishing a Bayesian learning model for joint sparse recovery of InISAR imaging; constructing a factor graph of the InISAR imaging joint sparse recovery Bayesian learning model; designing a message update rule for each variable therein according to the factor graph of the established joint sparse recovery Bayesian learning model; and reconstructing a target three-dimensional image through interference processing and scattering point distance measurement after obtaining two-dimensional images of three channels according to the message update rule. The present invention improves the reconstruction accuracy of three-dimensional images, has better noise suppression suppression capability, and greatly reduces the algorithm calculation complexity.

The invention discloses a wide-narrow band hybrid active noise control system and method with acoustic feedback compensation, and belongs to the technical field of active noise control. According to the system provided by the invention, the acoustic feedback compensation subsystem is adopted, so that the influence of acoustic feedback on a reference signal is effectively overcome, and the quality of the reference signal is improved; a wide-narrow band reference signal synthesis structure based on the combination of a front serial self-adaptive band-pass filter and a rear parallel self-adaptive band-pass filter is adopted to obtain a wide-band reference signal and a narrow-band reference signal to respectively provide reliable input for a wide-band secondary sound source synthesis subsystem and a narrow-band secondary sound source synthesis subsystem; therefore, the stability, convergence and noise reduction performance of the system are improved on the whole. The system provided by the invention can cope with non-stably changed wide-narrow band mixed target noise. The system provided by the invention does not need a non-acoustic reference microphone, so that not only is frequency deviation avoided, but also the hardware cost of the system is reduced, and the practical application range of the system is widened.

The application discloses an optical power collection device and method, relates to the technical field of optical signal detection, and comprises the following: a photoelectric detector for converting an optical signal into a current signal; a transimpedance amplifier for converting the current signal into a pulse voltage signal; a peak detector for detecting the peak value of the pulse voltage signal; an RC filter network for filtering noise of the pulse voltage signal; a low-frequency amplifier for amplifying the low-frequency pulse voltage signal; an ADC collection module for converting the amplified pulse voltage signal into a digital signal; a first feedback network for adjusting the gain of the transimpedance amplifier; a second feedback network for adjusting the gain of the low-frequency amplifier; and a microcontroller for controlling the first feedback network to adjust the gain of the transimpedance amplifier according to the peak value of the pulse voltage signal and for controlling the second feedback network to adjust the gain of the low-frequency amplifier according to the digital signal.

The invention provides an imaging system and method based on compressed sensing block complementation, and belongs to the technical field of imaging based on compressed sensing block complementation. The technical problem to be solved is to provide an imaging system structure based on compressed sensing block complementation and improvement of an imaging method. According to the technical scheme, the device comprises a telescope used for receiving scattered signals, and the rear end of the telescope is sequentially provided with a first lens and a fast steering mirror; the system further comprises a computer and a microcontroller, the microcontroller controls the fast steering mirror to deflect to image scattering signals to a modulation area of the digital micromirror device by sending rotation signals to the fast steering mirror, and a second lens is further arranged between the fast steering mirror and the digital micromirror device. An array detector is also arranged above the digital micromirror device; the method is applied to image data processing.

The utility model relates to a stable power supply device for an airborne multispectral photoelectric system. The stable power supply device comprises an input filtering anti-reverse circuit, a peak surge suppression circuit, a DC-DC conversion circuit, a voltage acquisition reporting circuit and an output filtering circuit which are connected in sequence, the peak surge suppression circuit comprises a normal switching stage peak loop, an input power supply switching power-on loop and an ultrahigh peak power supply loop. The DC-DC conversion circuit comprises a first path of non-isolated output P1 and a second path of isolated output P2. According to the stable power supply device, on one hand, the dynamic response of the power supply is improved, the stability of the power supply is greatly improved, and meanwhile, the output precision and the anti-interference capability are improved.

The application discloses a power supply noise suppression circuit of a voltage-controlled oscillator, which comprises a power supply input end, a mean value unit, a noise sampling unit, an integral unit and a proportional addition unit, wherein the power supply input end provides an input voltage; the mean value unit is connected with the power supply input end, and the mean value unit obtains a power supply voltage average value according to the input voltage; the noise sampling unit is connected with the power supply input end and the mean value unit respectively, so as to obtain a power supply voltage instantaneous value according to the input voltage, and obtain a noise signal according to the difference between the power supply voltage average value and the power supply voltage instantaneous value; the integral unit is connected with the noise sampling unit, and the integral unit processes the noise signal to obtain a compensation signal; the proportional addition unit is connected with the integral unit, so as to obtain a voltage control signal of the voltage-controlled oscillator after the compensation signal is compensated; thus, the noise suppression effect is good, and the on-chip integration is easy.

The application provides a motor efficiency reduction heating control method and device and a vehicle. The optimal balance between efficiency and noise is achieved by shortening the noise deterioration interval and combining real-time feedback adjustment. The method comprises the following steps: in response to the motor efficiency reduction heating function being turned on, determining the motor efficiency reduction heating target speed under the current driving working condition; before the target speed of the motor changes to the efficiency reduction heating target speed, reading a set of noise reduction parameters matched with the current driving working condition from the pre-stored control parameter set and preloading; making the current target speed of the motor change to the efficiency reduction heating target speed according to a preset rule; during the current target speed changing process and the running stage after reaching the efficiency reduction heating target speed, collecting the running state feedback signal of the motor in real time and constructing an evaluation function; taking the noise reduction parameters as optimization variables, and taking the minimum value of the evaluation function as the optimization target, the specific value of the noise reduction parameters is adjusted in real time within the preset parameter constraint range of the noise reduction parameters.

The invention discloses a multi-channel noise suppression method based on a two-stage deep complex network, and the method comprises the steps: constructing a deep complex gating convolution attention network, and carrying out the correlation modeling of a complex frequency spectrum; enhancing a multi-channel noisy signal by using a two-stage deep complex network; in the beam forming stage, amplitude and phase enhancement is carried out on the multi-channel complex spectrum, and a single-channel complex spectrum with coarse noise reduction is obtained; and in the post-filtering stage, refining processing is carried out on the single-channel complex frequency spectrum subjected to coarse noise reduction, and noise is further suppressed. According to the method, a noise suppression task is divided into a beam forming stage and a post-filtering stage through a two-stage enhancement strategy, the problems of noise residue and target sound signal distortion are effectively avoided, in addition, a complex frequency spectrum is modeled by adopting a complex network structure in the two-stage network, and the noise suppression efficiency is improved. Meanwhile, the amplitude and phase information of the signal are enhanced, the phase distortion is reduced, and the quality and naturalness of the signal are improved.

The invention discloses a universal test system for radio frequency industry, relates to the field of radio frequency test technology, a data board includes a system power supply and a plurality of preset peripheral interfaces; a core board includes a main chip, an interface circuit connected between the core board and the data board, a main chip peripheral circuit, a power configuration circuit and a power early warning circuit; a test board includes an ADC input circuit, a DAC output circuit, and an interface circuit connected between the test board and the core board; a three-layer structure design is adopted, which is sequentially a test board, a core board and a data board from top to bottom, the test board is connected to the core board through a first connecting component, the core board is connected to the data board through a second connecting component, and the test board is connected to the data board through a third connecting component. The test system of the present invention not only reduces the layout area occupied by the entire test system, but also facilitates the unified power management of the test system, and also solves the problem that the test cannot be completed or the test fails due to power anomaly.

The application discloses a linear voltage stabilizing circuit based on NMOS regulating tube, comprising a bias voltage generating circuit, a voltage division feedback circuit, an oscillator circuit, a charge pump circuit and a pre-voltage stabilizing circuit, wherein the bias voltage is generated through the bias voltage generating circuit; the output voltage is divided to obtain a feedback voltage through the voltage division feedback circuit; the feedback voltage is amplified and then input to the oscillator circuit to generate an oscillation signal; the generated oscillation signal is input to the charge pump circuit; the gate voltage of the NMOS regulating tube is adjusted through the charge pump circuit, so as to obtain the output voltage; the pre-voltage stabilizing circuit widens the input voltage range, so that the linear voltage stabilizing circuit can work in a high input voltage environment; the linear voltage stabilizing circuit based on the NMOS regulating tube has the characteristics of wide input range and low voltage difference, fast transient response speed, and is fully compatible with the thin gate oxide process.

The invention discloses a pressure sampling assembly, electronic equipment, a pressure sampling method and a pressure sampling device, and belongs to the technical field of electronic equipment. The pressure sampling assembly comprises a pressure sensing circuit; the first end of the first switching circuit is connected with the power supply, the second end of the first switching circuit is grounded, and the third end of the first switching circuit is connected with the first end of the pressure sensing circuit; the first end of the second switching circuit is connected with the power supply, the second end of the second switching circuit is grounded, and the third end of the second switching circuit is connected with the second end of the pressure sensing circuit; and the output end of the control circuit is connected with the control ends of the first switching circuit and the second switching circuit, and the input end of the control circuit is connected with the third end and the fourth end of the pressure sensing circuit.

The present application relates to the technical fields of electromagnetic noise suppression, and relates to a brushless motor electromagnetic noise suppression method and system based on harmonic current injection, comprising: confirming a noise brushless motor and a motor monitoring device, obtaining motor data of the noise brushless motor, using the motor monitoring device to analyze the noise of the noise brushless motor, obtaining a motor noise signal, performing frequency spectrum feature analysis on the motor noise signal, obtaining noise order, electromagnetic noise amplitude and electromagnetic characteristic frequency, performing phase-sensitive detection on the motor noise signal based on the noise order, the electromagnetic characteristic frequency and the electric angle time signal, obtaining the motor relative phase, performing adaptive fine tuning on the preliminary harmonic current data set based on the motor monitoring device and the vector voltage time signal set, obtaining a target harmonic signal set, performing harmonic injection on the noise brushless motor based on the target harmonic signal set, obtaining a noise suppression motor, and completing electromagnetic noise suppression of the brushless motor. The present application can reduce the electromagnetic noise level of the brushless motor.

The invention relates to the technical field of power line data communication, in particular to a power line noise suppression method based on carrier spectrum analysis, and the method comprises the steps: calculating a noise distribution complexity tendency value around a power line based on the complexity of power line distribution and the type number of load equipment connected to the power line; determining an acquisition mode of a power line carrier signal based on the noise distribution complex type around the power line; determining the position of a noise source based on the abnormal fluctuation of the energy spectrum density of the carrier signal of the key node of the power line in the preprocessed observation period; the noise type is determined based on the noise intensity of the noise source position and the consistency degree of the noise occurrence time and the load dynamic change time; and determining whether to adjust the power line noise suppression process parameters based on the power line communication quality evaluation value. According to the invention, the noise suppression effect is improved by improving the accuracy of noise type judgment.

The invention belongs to the technical field of vibration noise control, and particularly relates to a two-dimensional acoustic focusing structure based on a sound wave black hole effect, which comprises an upper structural plate, a lower structural plate and a sound wave black hole structure, an air domain is formed between the upper structural plate and the lower structural plate, and the bottom end of the sound wave black hole structure is arranged on the plates and used for gathering and dissipating sound waves. An existing one-dimensional sound wave black hole technology is expanded to a two-dimensional structure, incident waves are gradually gathered to the central area of the black hole, and therefore the sound wave focusing capacity of the two-dimensional structure is improved.

The application provides a semiconductor test image denoising method and system based on Taylor expansion, and relates to the technical field of image processing.The method flow is as follows: an array test image of a semiconductor is acquired, and frequency domain analysis is performed on the array test image to obtain periodic characteristics and directionality characteristics of the array; a structure-aware Taylor expansion model is constructed based on the periodic characteristics and the directionality characteristics of the array; a structure-aligned sampling network is established based on the periodic characteristics and the directionality characteristics of the array, and pixel reconstruction is performed based on the structure-aware Taylor expansion model to obtain pixel reconstruction values; multi-scale image fusion is performed based on all the pixel reconstruction values to obtain a final denoised image.The application realizes effective suppression of complex noise while perfectly maintaining the periodicity and directionality structure characteristics of the semiconductor array through the structure-aware Taylor model and intelligent multi-scale fusion.

The application provides an airborne wind measurement laser radar dynamic adaptive attitude-position collaborative compensation system and method which can dynamically adapt to flight states and accurately couple attitude and position interference. The system comprises a GNSS positioning module (1), a MEMS-IMU attitude sensing module (2), a two-stage coordinate conversion module (3), a dynamic speed solving module (4), an adaptive collaborative compensation module (5) and a laser radar wind measurement module (6). The method comprises the following steps: S1, multi-source data synchronous acquisition, S2, ECEF coordinate system conversion, S3, ENU coordinate system conversion, S4, dynamic speed solving, S5, dynamic weight adaptive compensation, S6, data output and feedback storage. The application is applied to the technical field of wind measurement laser radar.

The present invention discloses a broadband light source sensing system and method that is resistant to environmental interference. The broadband light source spectrum width and the wavelength selectivity of the fiber grating are used to select a light wave of one wavelength as a reference sensing unit and perform insensitive processing on the measured signal. The light waves of other wavelengths are then used as the signal sensing unit array minus the information carried by the reference sensing unit. Since a series of noise influencing factors such as the transmission path and the detection interferometer are completely consistent, the environmental disturbance noise sources of the reference sensing unit and the signal sensing unit are highly correlated, so that the sensing system has an outstanding common-mode noise signal elimination effect. The present invention cleverly utilizes the advantages of the broadband light source spectrum width, effectively suppresses the common-mode noise of the system, and enables the broadband light source sensing array to have a higher resolution when the environment is disturbed.

A cultivated land edge refinement detection method based on semantic guidance of RoI attention comprises the following steps: preparing high-resolution remote sensing image data containing intensive agricultural plots, and carrying out standardization and noise suppression preprocessing on the high-resolution remote sensing image data; the method comprises the following steps: constructing a shared encoder-double parallel decoder multi-task model, extracting multi-scale features through a shared encoder, outputting a cultivated land area semantic probability graph by using a semantic segmentation decoder, and outputting an initial edge strength graph by using an edge detection decoder; based on the semantic probability graph, generating a dynamic multi-scale RoI mask adaptive to the irregular form of the cultivated land through binarization, morphological optimization and adaptive resolution adjustment; semantic intermediate features and edge intermediate features are extracted, channel cascade fusion is carried out, differential modulation is carried out on the fusion features through an RoI attention mechanism, cultivated land area edges are focused, non-cultivated land noise is inhibited, and a refined edge intensity graph is output through detail optimization; and performing non-maximum suppression, fracture edge completion and vectorization processing on the refined edge graph to generate cultivated land edge vector data meeting geographic information business requirements. According to the method, deep collaboration of semantic information and edge features is realized, the omission ratio and the false detection ratio are greatly reduced, the method is adaptive to diversified cultivated land scenes such as fragmentation and connection, and refined detection of cultivated land edges is realized.

The invention discloses an anti-environmental interference broadband light source sensing system and method, and the method comprises the steps: selecting a light wave of one wavelength as a reference sensing unit through the spectrum width of a broadband light source and the wavelength selectivity of a fiber grating, and carrying out the insensitive processing of a signal to be detected; the light waves with other wavelengths are used as a signal sensing unit array to subtract information carried by the reference sensing unit, and a series of noise influence factors such as a transmission path and a detection interferometer are completely consistent, so that environment disturbance noise sources of the reference sensing unit and the signal sensing unit are highly related; therefore, the sensing system has an outstanding common-mode noise signal elimination effect. According to the invention, the advantage of wide spectrum of the broadband light source is ingeniously utilized, and the common-mode noise of the system is effectively suppressed, so that the broadband light source sensing array can have high resolution when being disturbed by the environment.

The disclosed embodiment is about a method and electronic device for noise suppression, including: downsampling a speech signal; preprocessing the speech signal within the sampling rate to divide the speech signal into multiple sub-bands; normalizing the speech data corresponding to each sub-band; inputting the speech data of each sub-band into the pre-trained target neural network model corresponding to each sub-band to obtain multiple groups of result data corresponding to each sub-band; synthesizing the multiple groups of result data to obtain the final noise suppression result. In this embodiment, by decomposing the speech signal into different sub-bands, constructing different deep learning networks for processing different sub-bands, and finally synthesizing the noise suppression results of each sub-band, it is more refined and has a better noise suppression effect.

In view of the noise problem of demodulation of high-precision optical fiber FP sensor, the present invention proposes a method and device for suppressing additive noise of optical fiber Fabry-Perot sensor, including obtaining the reflection spectrum of optical fiber Fabry-Perot sensor under the influence of additive noise; performing fast Fourier transform on the reflection spectrum of optical fiber Fabry-Perot sensor to obtain the imaginary and real parts at each order frequency component; performing arctangent operation on the imaginary and real parts at each order frequency component to establish an additive noise model of demodulation phase change caused by additive noise of characteristic peaks at each order frequency component; utilizing the correlation of demodulation phase change between characteristic peaks at each order frequency component and the non-correlation of additive noise, performing geometric averaging or weighted averaging on the demodulation phases of multiple characteristic peaks to achieve noise suppression. The present invention has strong noise suppression capability and provides basic theoretical guidance for the practical application of high-precision optical fiber FP sensor.