351 results about "Frequency difference" patented technology

The invention provides a medical equipment fault detection method and system based on machine learning, and relates to the technical field of fault detection. The method comprises the steps of monitoring motor start-stop division operation cycles, synchronously collecting and processing vibration, frequency difference and voltage signals, calculating characteristic difference to generate a dynamic sequence, extracting a non-convergence trend and phase deviation, fusing voltage and frequency fluctuation characteristics, constructing a threshold rule to judge abnormity, and outputting a light fault early warning signal. According to the invention, through precise monitoring of motor start-stop nodes, period division, collection of vibration, frequency and voltage signals, combination of time alignment and noise filtering, improvement of signal quality, cross-period calculation of characteristic difference, and extraction of non-convergence trend and phase offset, the ability of capturing tiny anomalies is enhanced; according to the method, multi-dimensional indexes such as voltage fluctuation and frequency deviation are fused, a threshold judgment mechanism in a continuous window is constructed, stable identification and early warning of equipment light faults are achieved, and the detection accuracy and response timeliness are improved.

The invention discloses an electromagnetic ultrasonic resonance thickness measuring method capable of adaptively regulating and controlling sweep frequency step length, which comprises the following steps of: exciting a continuous sweep frequency signal of a certain frequency band by an electromagnetic ultrasonic probe at a variable frequency step length, forming ultrasonic waves on the surface of a workpiece, penetrating the workpiece, and reflecting on the other surface of the workpiece to measure the thickness of the workpiece. The electromagnetic ultrasonic probe receives the reflected time domain signal, time-frequency conversion is conducted on the time domain signal based on the Fourier transform principle, a spectrogram is obtained, and wall thickness information of the current measuring point is calculated according to the frequency difference. However, due to the fact that the processes of frequency sweeping excitation, ultrasonic wave receiving and data processing of a series of waveforms are slow, the real-time performance of measurement can be affected, according to the electromagnetic ultrasonic resonance thickness measurement method oriented to ultrathin wall thickness measurement, frequency domain segmentation is achieved based on signal amplitude recognition, the frequency sweeping step length is shortened near the resonance frequency, and the measurement accuracy is improved. The step length is increased in other frequency bands, full-band equal-step-length frequency sweeping is replaced by variable-step-length frequency sweeping, the frequency sweeping step number is reduced, and therefore the measurement efficiency is improved.

The invention discloses a live detection method for insulation defects of high-voltage power equipment. The method comprises the following steps: firstly, synchronously arranging ultrahigh frequency sensors and acoustic emission sensors on a plurality of monitoring points on the surface of a gas insulated switchgear shell to form an array, and synchronously acquiring signals for filtering pretreatment; then, pulse events are extracted from the two types of signals respectively, and associated pulses in a time window are matched into matched pulse pairs representing the same discharge source; then, carrying out time-frequency transformation on the ultrahigh frequency and acoustic emission pulse waveform in each matched pulse pair, carrying out joint noise reduction by calculating a coherence coefficient between time-frequency distribution matrixes, and extracting a joint feature vector containing an energy ratio, a time parameter ratio and a frequency difference from the denoised time-frequency matrix; according to the invention, multi-source signals are fused, and high-sensitivity detection, high-precision positioning and high-accuracy identification of insulation defects are realized.

The invention provides a dynamic high-precision PTP (Precision Time Protocol) time synchronization system realized based on an FPGA (Field Programmable Gate Array), which comprises a master device and a slave device, and the master device and the slave device are connected through a PHY (Physical Layer) to carry out PTP time synchronization; the master device and the slave device have the same structure and comprise an FPGA and a voltage-controlled crystal oscillator; in the master device, the FPGA obtains the frequency difference and the phase difference between the master device and an externally input reference source, further adjusts the frequency of a voltage-controlled crystal oscillator, corrects a local time mark, and sends a PTP message to the slave device; and in the slave equipment, the FPGA obtains the frequency difference and the phase difference between the slave equipment and the master equipment based on the received PTP message, so that the frequency of the voltage-controlled crystal oscillator is adjusted, and the local time scale is corrected. According to the invention, low-cost and high-precision PTP time synchronization is realized.

The invention discloses an SLAM-oriented multi-sensor space-time synchronization and online calibration method, and relates to the technical field of computer vision and robot perception. Comprising the steps that S100, initialization is carried out, and an initial pose and an external parameter transformation matrix initial value are obtained through coarse alignment; s200, data acquisition and preprocessing: acquiring IMU data, LiDAR data and Odom data in real time, and performing data filtering, distortion removal, time sequence correction and point cloud downsampling processing on the acquired data; and S300, performing time synchronization processing, estimating the time offset of the LiDAR and Odom data in real time, and performing unified correction to generate a unified timestamp. According to the method, an online time offset estimation and compensation mechanism with an IMU as a main clock is established, accurate synchronization of sensor data of different frequencies is achieved, and the problem of data alignment caused by sampling frequency difference and clock drift is effectively solved; and meanwhile, tight coupling fusion is realized by using an IMU pre-integration factor, a LiDAR residual factor and an Odom constraint factor, so that the space-time consistency of multi-sensor data is remarkably improved.

The invention belongs to the technical field of slope deformation monitoring, and relates to a slope radar deformation monitoring method based on multi-frequency-point phase unwrapping. According to the method, a dynamic synthesis wavelength extension and terrain constraint combined unwrapping technology is utilized, the unwrapping bottleneck of large gradient deformation is effectively overcome, the synthesis wavelength is generated through multi-frequency combination, and in combination with terrain-guided network flow optimization, the path breakage risk and jump point error transmission of traditional single-frequency-point unwrapping are avoided; secondly, on the basis of a frequency difference physical model, an equation set is constructed through the physical property difference between the deformation phase and the atmospheric phase to directly invert the atmospheric retardation, self-elimination of atmospheric interference is achieved, and a physically pure deformation signal is output through closed-loop phase purification; and finally, through lightweight unwrapping and multi-frequency result weighted fusion, a closed-loop framework from unwrapping, correction to re-unwrapping is constructed, the precision and reliability of deformation monitoring in a complex scene are remarkably improved, and a universal solution is provided for deformation early warning of abrupt slopes and complex terrains.

The invention discloses a laser ablation and parameter optimization system and method for a hemispherical harmonic oscillator. The system comprises a laser, a control system, a frequency difference test module, a vacuum cavity, and an electric rotating base, a working platform, a vibration test clamp, an electric control excitation hammer and a vibration stopping damper which are arranged in the vacuum cavity, the working platform is mounted on the electric rotating base; the vibration stopping damper, the vibration testing clamp and the electrically-controlled excitation hammer are all installed on the working platform. By means of the parameter optimization method of the ablation system, the fitting matching degree is judged according to experimental samples added in real time, and the fitting function is dynamically updated. Laser trimming parameters are determined according to the fitting function, the accuracy of the ablation amount is guaranteed, and the trimming efficiency and convergence are improved. The method is widely suitable for the size of the harmonic oscillator, and provides technical support for engineering development of the high-precision hemispherical harmonic oscillator.

The invention provides a new energy station frequency modulation capability evaluation method and system, and the method comprises the steps: generating a frequency response curve of a disturbance event to a new energy station grid connection point based on the obtained frequency data information of the new energy station grid connection point; selecting the frequency value of the starting moment of the disturbance event and the frequency value of the maximum frequency difference moment; based on the starting moment, the frequency value of the starting moment, the maximum frequency difference moment and the frequency value of the maximum frequency difference moment of the disturbance event, calculating the integral electric quantity of the new energy station within the time period from the starting moment to the maximum frequency difference moment; and calculating an equivalent inertia index value of the new energy station based on the integral electric quantity of the new energy station, and evaluating the frequency modulation capability of the new energy station. The calculation of the equivalent inertia index value of the new energy station only depends on easily acquired data information such as the integral electric quantity of the new energy station, the frequency values at the disturbance moment and the maximum frequency difference moment, and the frequency modulation capability of the new energy station can be evaluated.

The invention discloses a single-port detection resonator resonant frequency on-line real-time measurement system for an MEMS gyroscope, and the system comprises a closed-loop drive circuit which is used for driving a resonator to resonate and outputting a drive detection signal; the first C / V conversion circuit converts the current into a detection voltage signal, and the on-off of the first C / V conversion circuit and the negative resistance circuit is controlled by a voltage control switch; the negative resistance circuit enables the equivalent input resistance of the first C / V conversion circuit to be a negative value so as to generate positive damping feedback force on the detection resonator; the multiplier is used for carrying out multiplication demodulation on the detection voltage signal and the driving detection signal, and the angular velocity of the MEMS gyroscope is output after the signals are filtered by the low-pass filter; the upper computer controls the on-off of the voltage control switch, the frequency fd and the frequency fs are calculated through fast Fourier transform by driving the detection signal and the detection voltage signal respectively, the frequency difference is obtained by solving the difference, and the resonant frequency of the single-port detection resonator is measured on the premise that the work of the MEMS gyroscope is not affected.

The invention discloses a rolling stone multi-target radar monitoring and early warning method adaptive to a complex terrain, and relates to the technical field of data processing, and the method comprises the following steps: obtaining an echo signal through a radar, obtaining a moving target according to the echo signal, obtaining basic data according to the moving target, obtaining a theoretical path according to the basic data, and carrying out the calculation of the theoretical path. And acquiring monitoring data according to weather forecast of a weather bureau, establishing a corresponding relation according to the monitoring data and the theoretical path and the duration, judging whether to give out early warning or not according to the corresponding relation, obtaining final evaluation, and updating the corresponding relation according to the final evaluation. According to the method, a fixed clutter filtering technology based on Doppler frequency difference analysis is adopted, zero-frequency channel signals are abandoned in combination with fast Fourier transform, a prediction-matching mechanism is combined, multiple rolling stones are stably tracked, the quality of the rolling stones is inversed through radar echoes, kinetic energy is calculated in combination with a velocity vector, and the accuracy of the rolling stones is improved. And quantitative evaluation of the collapsing force of the rolling stone is realized.

The invention relates to a black-start method and device for self-synchronizing parallel connection and stable control of a new energy station, and the method comprises the steps: controlling each power generation unit of the new energy station to carry out the initialization through the DC side energy storage of the power generation unit in response to a black-start instruction, and generating the voltage and frequency of an independently-established island of the new energy station; performing self-synchronization among the power generation units based on the island voltage and frequency, and performing oscillation suppression on the parallel connection process of the power generation units by using adjustable virtual impedance so as to establish a stable parallel power generation unit system; the impedance of the power generation unit system is monitored online in real time, virtual impedance parameters are adjusted in a self-adaptive mode according to a preset impedance stability criterion, and loads are input step by step; and when the voltage difference and the frequency difference in the gradual load input process are smaller than a preset threshold condition, a parallel circuit breaker in the new energy station is controlled to be closed so as to realize black start.

The invention discloses a time-frequency analysis method based on local entropy optimization synchronous demodulation reassignment transformation, relates to the technical field of signal processing, and solves the problem that a traditional time-frequency analysis method is not easy to carry out when complex non-stable vibration signals generated by rotating machinery and the like are processed. The problems of difficulty in balancing time and frequency resolution, easiness in energy diffusion, difficulty in multi-component signal separation and the like exist; according to the method, zero padding is carried out on the two ends of a target signal, a discrete Gaussian window is constructed to generate a sliding windowing signal matrix, a projection angle sequence is generated in an angle space, a time axis and a frequency axis are discretized, a demodulation function containing undetermined parameters is constructed to generate a complex number time-frequency representation matrix, the Renyi entropy value of time-frequency sub-blocks is calculated to determine an optimal demodulation parameter, and the optimal demodulation parameter is obtained. And setting a frequency difference threshold to construct a frequency redistribution operator to generate an optimized time-frequency matrix. The method is mainly used for time-frequency analysis of complex non-stationary vibration signals in the fields of rotating machinery and the like, and high-precision frequency modulation feature extraction and enhancement processing are achieved.

The invention discloses an indoor multi-base-station positioning method and system based on frequency offset compensation under a shared medium condition, and the method comprises the steps: multi-base-station rapid TWR measurement: a label initiates a first round of signal receiving and transmitting to each base station, and records the receiving and transmitting time; each base station initiates a second round of signal receiving and transmitting to the label and records the receiving and transmitting time; the label initiates a third round of signal receiving and transmitting to each base station and records the receiving and transmitting time; calculating an initial TOF from the label to each base station; calculating the frequency difference between each base station and the label; compensating the initial TOF from the tag to each base station; and realizing label positioning according to the compensated TOF estimation values from the labels to the base stations. According to the invention, the TOF measurement values of the label and the plurality of base stations can be obtained at the same time by adopting multi-base-station rapid TOF measurement, and the TOF measurement values are compensated by adopting the estimated frequency offset value, so that the influence of label mobility on positioning is reduced, and the positioning precision of the label can be effectively improved.

An earphone with binaural beats function includes a left ear speaker configured to provide a first sound wave to a left ear of a user, a right ear speaker configured to provide a second sound wave to a right ear of the user, a wireless communicator, and a frequency adjuster signally connected to the left and right ear speakers via a wire, and signally connected to the wireless communicator. The frequency adjuster receives an external audio signal from the wireless communicator, and adjusts the external audio signal to a first audio signal and a second audio signal to then transmit to the left and right ear speakers respectively, so that the left and right ear speakers emit the first sound wave and the second sound wave respectively. A first frequency of the first sound wave and a second frequency of the second sound wave have a frequency difference.

The invention relates to the technical field of smart parks, in particular to an adaptive protocol conversion and cooperative control method for smart park equipment. The method comprises the steps of generating an initial attribute set based on a device communication protocol and an operation frequency, determining a protocol conversion rule through clustering analysis, dynamically adapting a new protocol and adjusting a frequency deviation, generating a cooperative task timing sequence, and optimizing a control response and a data interaction flow in case of an emergency or a transmission delay. And finally realizing a stable operation state through a feedback mechanism. According to the method, protocol features can be efficiently extracted, a new equipment protocol can be flexibly adapted, the coordination problem caused by frequency difference is solved, the synchronization precision between equipment and the overall coordination efficiency are improved, and the stability and reliability of a system in a complex scene are ensured.

The invention provides an active support self-adaptive control method for a network construction type converter. The active support self-adaptive control method for the network construction type converter comprises the following steps: S01, calculating a frequency difference value and a frequency change rate value of the network construction type converter; s02, calculating an inertia coefficient according to a frequency change degree comprehensive threshold value; s03, calculating a damping coefficient according to the frequency difference threshold value; s04, realizing active support control by simulating the characteristics of a synchronous machine; and S05, performing pulse width modulation on the internal potential through vector control. According to the active support self-adaptive control method for the network construction type converter, main parameters are self-adaptively adjusted according to the external environment of the system to suppress power and frequency fluctuation, the method can be suitable for the operation occasion of a power electronic converter, and particularly, the steady state of the network construction type converter is not influenced by external disturbance; therefore, the active support control performance of the converter is improved.

The application relates to the technical field of estimation of maximum frequency deviation of power grid nodes and is used for solving the problem that the existing estimation method of maximum frequency deviation of power grid nodes cannot reflect the time-space difference characteristics of frequency response of an interconnected power system. First, a two-region frequency response model TAFR considering the time-space difference characteristics of frequency of power grid nodes is established, a time-domain analytical expression describing the node frequency difference mechanism is obtained by adopting the mode analysis and average system frequency model aggregation idea, and a maximum frequency deviation estimation method reflecting the time-space difference is proposed on the basis of the analytical expression. The established TAFR model considers the distribution of tie-line parameters, system inertia and damping, and equivalently processes the new energy frequency modulation parameters, compared with the existing frequency dynamic response model, the model has improved accuracy and applicability while ensuring the time-space difference.

The application provides an equivalent sampling circuit and device, and an equivalent sampling method, and relates to the field of circuits.The equivalent sampling circuit comprises a frequency discriminator, a voltage-controlled oscillator, a first frequency divider, a second frequency divider and a sampling unit; wherein the frequency discriminator is used to obtain a reference signal and a first frequency division signal, compare the frequency and phase of the first frequency division signal and the reference signal respectively, and obtain the frequency difference and phase difference of the first frequency division signal and the reference signal; the voltage-controlled oscillator is used to generate a second oscillation signal based on the frequency difference and the phase difference; the second frequency divider is used to perform integer frequency division on the second oscillation signal by using an integer frequency division coefficient to generate a second frequency division signal; and the sampling unit is used to perform equivalent sampling on a to-be-tested signal based on the second frequency division signal.The equivalent sampling circuit in the application can greatly improve the time delay step of the second frequency division signal, does not increase the circuit cost, and ensures the accuracy of sampling.

The invention discloses a method, system, equipment and medium for an expansion generator set to actively support the inertia of a power grid, and belongs to the technical field of compressed air energy storage, and the method comprises the steps: collecting voltage and current signals of the power grid in real time, calculating the frequency value of the power grid from the collected signals, and obtaining the frequency data of the power grid; performing differential calculation on the obtained frequency data to obtain a frequency difference and a frequency change rate; calculating upper and lower limits of power grid rotational inertia and system adjustable rotational inertia resources in real time according to unit operation conditions in a regional power grid; according to the frequency difference and the frequency change rate, system rotational inertia margins under the maximum frequency difference condition and the maximum frequency change rate condition are calculated; and controlling the compressed air energy storage unit to perform active adjustment based on a calculation result. Inertia support is realized, the frequency fluctuation of the power grid can be quickly responded, the frequency stability of the regional power grid is enhanced, the acceptance capability of the regional power grid to renewable energy sources is improved, and safe and reliable operation of the power grid is ensured.

The invention discloses a coal power unit regulation and control method and system coupling fused salt heat storage and compressed air energy storage, and the method comprises the following steps: an energy storage stage: heating fused salt and compressed air energy storage by using redundant electric power of a coal power unit, and meanwhile, heating the fused salt by using compression heat generated in a high-temperature and high-pressure steam and compressed air energy storage process; in the energy release stage, the fused salt releases the stored heat, the heat is transferred to the coal power unit through the heat exchanger, and meanwhile, the compressed gas enters the expansion machine to do work after being heated by the heat exchanger to drive the coal power unit to generate power; and in the frequency modulation stage, a graded frequency modulation mode is determined based on the frequency difference between the real-time frequency and the rated frequency of the power grid, and the optimal power distribution scheme of the coal power unit, the fused salt heat storage and the compressed air energy storage in the frequency modulation process is determined by taking frequency modulation income maximization as an optimization target. The method can better adapt to the complex fluctuation of the power grid frequency, and the cooperation of the wide heat storage capacity and the high frequency modulation rate of the coal power unit is realized.

The present application relates to a kind of threshold adjustable RO PUF device and output sequence method, belong to information security technical field, solve the problem that the two key design indexes of existing RO PUF uniqueness and stability are difficult to compromise implementation.For threshold adjustment module, at least two ring oscillators and at least one counting comparison module;Wherein, every two ring oscillators is a group, and each group corresponds to a counting comparison module;Threshold adjustment module is used to set the threshold gear of the clock oscillation frequency difference generated by every two ring oscillators in each group;Wherein, threshold gear is adjustable;Counting comparison module is used to receive threshold gear and the clock oscillation frequency generated by two ring oscillators in corresponding group, obtains corresponding frequency difference threshold according to threshold gear, and the clock oscillation frequency difference generated by two ring oscillators is counted, obtains a bit output by comparing clock oscillation frequency difference with frequency difference threshold;The bit output corresponding to all groups is used as the output response data of RO PUF.

The invention discloses a frequency modulated continuous wave cable local insulation defect detection method, which comprises the following steps: S1, realizing an FMCW method by using an FMCW cable fault positioning system, performing spectrogram function extraction and analysis on an incident signal and a reflected signal at a certain moment in the FMCW method to obtain a frequency difference between the incident signal and the reflected signal at the certain moment, and determining the frequency difference between the incident signal and the reflected signal at the certain moment; therefore, the position information from the cable defect to the head end of the cable is obtained, and effective fault diagnosis is realized. S2, time domain, frequency domain and power spectrum characteristic index extraction is carried out on the spectrogram function analysis signals, and index data of the analyzed signals are known more comprehensively; the method solves the problems that in the prior art, a reflection method is limited by frequency domain reflection signal amplitude attenuation, the detection distance is short, the requirement for long-distance cable detection cannot be met, FFT positioning spectrum covering information is single, interference of environmental factors is likely to happen, and cable state evaluation is not comprehensive enough.

The invention relates to a method for processing a received signal derived from two continuous phase-modulated signals, comprising the following steps: frequency shifting (102) of the squared received signal so as to produce: a first and a second shifted signal having a spectrum shifted by D / 2 and -D / 2 respectively with respect to a spectrum of the squared signal, where D is a bit rate of each of the two continuous phase-modulated signals; determination (108): of a first and a second frequency at which a power spectral density of the first and second shifted signals takes a first and second maximum value respectively, of a third frequency at which a power spectral density of the squared signal takes a third maximum value; central tendency measurement of the frequencies to estimate (110) a frequency difference between the received signal and each of the two continuous phase-modulated signals. Figure for the abstract: Fig. 3

The invention discloses an electrostatic tuning optimization method and device for a metal resonator gyroscope. The method comprises the following steps: establishing a dynamic model based on structural symmetry disturbance and a coupling stiffness effect; based on the dynamic model, calculating modal frequency distribution of the metal resonator gyroscope under different azimuth angles to obtain modal frequency difference data, and based on the modal frequency difference data, constructing an equivalent stiffness distribution model, and quantifying stiffness nonuniformity of the resonant structure to obtain a stiffness matrix; based on the stiffness matrix, voltage control parameters corresponding to the azimuth angles are obtained, the voltage control parameters are applied to the multiple electrostatic tuning electrodes, and an optimized stiffness matrix is obtained; and recalculating the modal frequency of the metal harmonic oscillator based on the optimized stiffness matrix. The invention solves the technical problem that the prior art is mainly suitable for the inertial device before or after packaging but is difficult to effectively eliminate the frequency cracking after packaging.

The invention relates to a power outer loop collaborative optimization virtual synchronous generator transient stability improvement method, and belongs to the technical field of virtual synchronous generator transient stability, and the method comprises the following steps: S1, building a virtual synchronous generator small signal power angle model; s2, performing active transient compensation and capacity constraint of power angle-frequency difference cooperative state feedback; s3, voltage deviation driven adaptive reactive power coefficient and active-reactive power combined current limiting are carried out; and S4, fault current impact suppression of the current-driven virtual impedance. The method can effectively reduce peak values and oscillation time of a power angle and a frequency difference, limit a fault current not to exceed a set upper limit, consider voltage support and active support capabilities, has good stability and robustness, and is suitable for controlling the grid-connected virtual synchronous generator under different short-circuit ratios and various fault working conditions.

This invention belongs to the field of positioning algorithm technology and discloses a method for motion bistation time-frequency difference (SDP) positioning. The algorithm of this invention provides a complete process for motion bistation positioning without requiring manual selection of an initial solution. The SDP algorithm used can handle the problem of motion bistation SDP positioning. When noise is high, SDP gradually deviates from the CRLB bound. The accuracy of the corrected result can be guaranteed by using the Refine algorithm or maximum likelihood estimation based on Gauss-Newton. With low measurement error, the direct correction algorithm slightly deviates from the CRLB bound, mainly due to errors introduced by linearization.

Systems and methods for user equipment (UE) feedback regarding downlink frequency differences between transmission and reception points (TRPs) are disclosed. In one embodiment, a method performed by a UE for providing feedback to a network node on a frequency difference between each of a plurality of TRP and a reference TRP includes receiving a configuration of a channel state information (CSI) report for frequency difference feedback, determining a frequency difference between each of the plurality of TRP and the reference TRP, and determining a quantized frequency difference value indicating the determined frequency difference between each of the plurality of TRPs and the reference TRP according to one or more parameters related to the quantization of the determined frequency difference. The method further includes transmitting, to the network node, the quantized frequency difference for each of the plurality of TRPs.

The invention discloses a neutron-gamma discrimination method based on an STFT-DFF model. The neutron-gamma discrimination method comprises the following steps: converting an analog pulse signal output by a detector into a digital pulse signal; pulse triggering and noise filtering are carried out on the digital pulse signals based on the multi-dimensional waveform features, and effective pulse signals are screened; preprocessing the effective pulse signal, converting a time domain signal into a time-frequency characteristic signal through short-time Fourier transform STFT, and flattening the time-frequency characteristic signal into a one-dimensional STFT characteristic signal; and inputting the one-dimensional STFT feature signal into a pre-trained dynamic feature fusion DFF model, and outputting a neutron-gamma dichotomy result and an original classification score. According to the method, the time-frequency difference is deeply mined through the STFT, the feature weight is dynamically optimized through the DFF, hardware deployment is realized through the FPGA acquisition system, and the discrimination accuracy and real-time performance are effectively improved. Experiments show that compared with an existing method, quality factors are remarkably improved, and the method is suitable for the fields of safety inspection, environment monitoring and the like.

The invention provides an anti-pseudo peak frequency difference azimuth estimation method using sparse Bayesian learning, and relates to the technical field of underwater acoustic array signal processing. The method specifically comprises the steps of collecting signals, selecting processing frequency points, constructing a dictionary matrix and a joint spectrum matrix, quantifying the stability of signal intensity changing along with a reference high-frequency frequency point, optimizing the joint spectrum matrix according to the stability to eliminate false peaks, and obtaining an orientation estimation result. According to the technical scheme, false peaks can be effectively removed, the sidelobe height in the azimuth spectrum can be reduced, and the azimuth estimation accuracy of the target can be improved.

This application discloses a multimodal microwave sensor and a multi-parameter decoupling measurement method. The sensor includes a first metal layer, a dielectric layer, a second metal layer, and a transmission unit. The first metal layer is provided with a first microstrip line feed line, a second microstrip line feed line, and a three-mode resonant coupling structure. By setting the transmission unit to connect with a single-end fixed beam, the non-uniform elastic deformation of the single-end fixed beam under pressure causes synchronous asymmetric coupling changes in the three-mode resonant coupling structure. This simultaneously excites two sensing parameters, namely the change in resonant frequency difference and the change in transmission amplitude, to respond independently. Dual-parameter fusion sensing can be achieved without additional circuitry, effectively suppressing temperature drift and environmental electromagnetic interference, improving the anti-interference capability and measurement reliability of the entire microwave pressure sensor, and enhancing the pressure measurement accuracy and the stability of the device.