112 results about "Frequency interval" patented technology

The invention discloses a line tower grounding resistance intelligent detection system based on a TMR sensor technology, relates to the technical field of resistance detection, and solves the problem that a resistance signal is easily interfered by other signals or is influenced by temperature. According to the invention, superposition verification is carried out on waveforms of a resistance signal and an interference signal through a signal feature verification end, matching analysis of an extreme value segment and a virtual waveform is combined, an abnormal wave band and an interference source are accurately locked, and a reliable basis is provided for subsequent filtering; based on the peak point spacing (wavelength) and the transmission rate of the interference waveform, the interference frequency is calculated and a frequency interval is generated, so that an operator is supported to pertinently set filtering parameters, and specific frequency interference is effectively filtered out; by comparing the change characteristic ratio of the amplitude sequence to the temperature sequence, the response rule of the resistance value of the resistor changing along with the temperature is monitored in real time; and when the characteristic ratio does not decrease progressively according to the expected trend, a temperature change abnormal signal is triggered quickly.

The invention provides a picoampere-level precision data acquisition method and system for a large model special for the corrosion industry, and relates to the technical field of corrosion, and the method comprises the steps: collecting electrochemical impedance spectroscopy data and corrosion environment parameters, obtaining a time-frequency domain characteristic pattern through continuous wavelet transform, determining corrosion characteristic indexes of a target frequency interval based on a self-adaptive segmentation algorithm, and obtaining a picoampere-level precision model. And constructing a causal reasoning decision tree, and updating the correlation strength of the corrosion knowledge graph by using a Bayesian network. The micro corrosion signal can be accurately captured, the corrosion mechanism evolution path can be predicted, and the corrosion monitoring precision and prediction accuracy can be improved.

A method performed by an electronic device is provided. The method includes obtaining a signal on a plurality of resource elements (REs), selecting, based on a time interval between symbols, reference REs from the plurality of REs, and a frequency interval between the symbols, performing, based on the reference REs, channel estimation, obtaining, based on a result of the channel estimation, a plurality of first weights corresponding to the reference REs, obtaining, based on the plurality of first weights, a plurality of second weights corresponding to other REs distinct from the reference REs from among the plurality of REs, and obtaining, based on the plurality of first weights and the plurality of second weights, information corresponding to the signal.

The invention relates to the technical field of mechanical fault diagnosis, in particular to a gearbox fault diagnosis method and system based on graph structure signal processing, and the method comprises the following steps: calling a vibration data sequence, detecting slope change and marking nodes, constructing edge connection and edge weight to obtain a graph structure, calculating a spectral coefficient to recognize a high-density frequency interval, and carrying out the fault diagnosis. Extracting a spectrum boundary, obtaining a gradient difference value of a spectrum edge graph, positioning a node sequence, extracting a peak value, judging a fault type, and outputting a gearbox fault diagnosis result. According to the method, graph structure reconstruction is carried out through a node slope hopping trend, an edge connection direction and a weight reference quantity are constructed through inter-node amplitudes and time intervals, the sensitivity of a graph structure to weak impact characteristics is enhanced, disturbance frequency band screening is carried out based on spectrum coefficient slope inversion frequency, and the node response degree is mapped through spectrum edge amplitude gradient differences. And establishing a node amplitude direction sequence, matching the node amplitude direction sequence with a standard direction template, judging a fault boundary and a graph structure breakpoint position, and realizing accurate identification of an early fault of the gearbox.

The invention relates to the technical field of infrared flame detectors, and particularly discloses a flame recognition method based on multiband infrared signal fusion. The method comprises the steps that S1, a main detection channel periodically obtains real-time main infrared signals, and three reference channels periodically obtain real-time reference infrared signals; s2, when the peak value of the real-time main infrared signal is larger than a fire behavior threshold value, spectral analysis is conducted on the real-time main infrared signal, the peak value main frequency is extracted, and the peak value main frequency is the frequency corresponding to the frequency band with the maximum power spectral density; s3, judging whether the peak main frequency is in an early warning frequency interval or not, if so, performing spectral analysis on the three real-time reference infrared signals acquired by the three reference channels, and extracting the peak main frequency of each real-time reference infrared signal; and S4, judging whether the peak main frequency of at least one real-time reference infrared signal is in the early warning frequency interval or not, and if so, judging that a fire occurs. According to the method, flame identification of scenes such as kitchens using artificial fire sources can be realized.

The invention discloses a bearing fault identification method based on time sequence parameter statistics, and relates to the field of rotating equipment state monitoring and intelligent operation and maintenance, and the method comprises the steps: S1, collecting a vibration signal sample of a target bearing; s2, short-time Fourier transform: performing short-time Fourier transform on the vibration signal to obtain observation of the model; s3, calculating a forward probability and a backward probability; s4, counting times: calculating a bearing vibration signal of the duration ts of each impact cycle by using a dynamic time sequence # imgabs0 #, including a noise state and an impact state, namely # imgabs1 #, and counting the times Nc of the signal falling in a narrow frequency interval # imgabs4 # with the # imgabs2 # as the center and the width of # imgabs3 # within the duration ts; s5, calculating the posterior probability of the fault; and S6, automatic fault identification: automatically identifying the fault type of the bearing by selecting the highest fault posterior probability. And estimating the signal impact frequency through parameters in the dominant time hidden Markov model so as to perform fault identification on the bearing.

The invention discloses a frequency locking method, a phase-locked loop circuit and a transceiver. If the current frequency of the transceiver is located in the first frequency interval and the target frequency of the transceiver is located in the second frequency interval, switching the voltage-controlled oscillator of the transceiver to a second voltage-controlled oscillator, and outputting the target frequency through the second voltage-controlled oscillator, wherein the second frequency interval is the frequency interval of the first voltage-controlled oscillator and the second voltage-controlled oscillator. Therefore, due to the fact that the second frequency interval is the common frequency interval of the first voltage-controlled oscillator and the second voltage-controlled oscillator, when the current frequency of the transceiver and the target frequency of the transceiver are in different frequency intervals, switching of the voltage-controlled oscillators can be achieved through the common frequency interval. Therefore, the switching of the voltage-controlled oscillator is realized through the transceiver, and compared with the related technology, the switching of the voltage-controlled oscillator by using an external switching circuit is avoided, so that the frequency locking time efficiency is improved.

The present application relates to a kind of equipment vibration signal stationary data segmentation method, the vibration signal is collected and forms original vibration data, then short-time Fourier transform is carried out to obtain two-dimensional STFT matrix;The effective value of each column data of STFT matrix is calculated respectively to obtain the overall effective value trend of vibration signal;Frequency distribution vector is obtained based on STFT matrix, then the narrow-band frequency interval of the front amplitude ordering is extracted and the effective value trend is calculated;Overall effective value trend of vibration signal and the effective value trend corresponding to all narrow-band frequency intervals are traversed, and candidate split line is determined and marked;The time window position corresponding to candidate split line is mapped as the index value of original vibration data and is sorted;Adjacent index difference in index sequence after sorting is used to determine stationary data interception interval, then original vibration data is interval intercepted to intercept stationary vibration data.The present application can automatically and accurately segment stationary data segment from non-stationary vibration signal, and provide pre-data support for subsequent.

This invention provides a far-infrared spectrometer and a far-infrared spectroscopic method that can accurately measure the absorption spectrum derived from a sample. [Solution] In a far-infrared spectrometer 100 comprising a detector 225 that detects light obtained by irradiating a sample with far-infrared light, and a signal processing unit 230 that calculates the absorption spectrum of the sample from the signal from the detector, a first spectrum detected by the detector is obtained when the wavelength of the far-infrared light is changed and irradiated into the measurement optical path with the sample not on the measurement optical path, and a second spectrum detected by the detector is obtained when the wavelength of the far-infrared light is changed and irradiated into the measurement optical path with the sample on the measurement optical path. Then, the difference between the spectral signals is calculated at frequency intervals determined according to the absorption peak due to water vapor, and the frequency of the absorption peak due to water vapor is selected according to a comparison of the difference with a threshold. Based on the selected frequency, data removal is performed on the spectral signal.

The invention relates to the technical field of bird repelling devices, in particular to a bird repelling device with a self-recognition function, and the system comprises a target extraction module, a maloperation screening module, a response pause module, an interference classification module and a recognition rule updating module. According to the method, the change combination of multi-channel signals is constructed, time alignment is realized, collaborative features of image brightness edges, audio dominant frequency intervals and infrared heat source distribution are extracted, inconsistent combination contents are identified and screened out, and behavior validity is judged according to interruption and abrupt change signals. Frequently appearing similar disturbances are classified and calibrated, an interference characteristic pattern is formed, edge judgment and a time parameter range are adjusted in combination with identification deviation, a response coordination mechanism among multiple channels is further improved, and the device has dynamic adaptive capacity aiming at different interference modes; the judgment accuracy in the target extraction process and the stability of the expelling response are enhanced, and continuous optimization of recognition and reaction logic in a complex scene is achieved.

The present invention uses reference signals to improve channel estimation accuracy. A terminal includes: a control circuit configured to set a first upper limit value of a frequency interval for configuring a first reference signal in a first bandwidth to be smaller than a second upper limit value of a frequency interval for configuring a second reference signal in a second bandwidth, the second bandwidth being wider than the first bandwidth; and a transmission circuit configured to transmit the first reference signal based on the first upper limit value.

Disclosed are techniques for wireless sensing. In an aspect, a sensing node receives, from a sensing entity, a configuration of one or more sensing reference signal resources for a sensing session, wherein the configuration indicates a staggering pattern of a plurality of staggers of the one or more sensing reference signal resources across a plurality of time intervals, a plurality of frequency intervals, or both, and wherein each of the plurality of staggers includes one or more repetitions of the one or more sensing reference signal resources, and transmits or receives the one or more sensing reference signal resources according to the staggering pattern.

A control unit (24-1) stabilizes the frequency of a carrier-envelope offset signal of an optical frequency comb. A control unit (24-2) stabilizes the frequency of a beat signal produced by the interference between measured light from a measured light source (21) and the optical frequency comb. A detection unit (34) detects a frequency interval for each of four operations for which the frequency interval between modes of the optical frequency comb is different. An optical frequency calculation unit (30) calculates first through fourth approximate estimate values for a mode number for an initial operation on the basis of the frequency interval for each of the four operations and calculates the true mode number of the initial operation on the basis of the estimate values to calculate the frequency of the measured light.

The invention provides a technology capable of determining the state of a measured object with higher precision. A state determination device is provided with: a state index generation unit (24) for generating a state index for determining the state of an object to be measured on the basis of a spectral spectrum obtained from an electromagnetic wave transmitted through the object to be measured or an electromagnetic wave reflected by the object to be measured after the object to be measured is irradiated with an electromagnetic wave; and a state determination unit (26) that determines the state of the object to be measured on the basis of the state index of the object to be measured. A state index generation unit (24) executes: a process for generating a state index using spectral spectrum intensity in a frequency range that is not affected by a peak value; generating a state indicator of the object to be measured on the basis of applying a correction to the spectroscopic spectrum that reduces the effect of the peak; alternatively, a state indicator is generated from spectral spectral intensities at a plurality of frequencies extracted at frequency intervals less than the peak width.

This signal parameter estimation device is configured to comprise: a candidate value setting unit (1) that sets a plurality of candidate values for a chirp rate representing the ratio of chirp frequency width to chirp time width of a reception signal, which is an observation signal of a chirp signal that is the target for parameter estimation; and a candidate value selection unit (2) that multiplies the reception signal by opposite-phase components of each of the candidate values set by the candidate value setting unit (1), converts the reception signals after the opposite-phase component multiplication to signals of a frequency region, and selects, from among the plurality of candidate values, the candidate value for which an electrical power peak value of the signal of the frequency region is relatively larger. Moreover, the signal parameter estimation device comprises: a frequency width estimation unit (3) that multiplies the reception signal, which is the observation signal, by the opposite-phase component of the candidate value selected by the candidate value selection unit (2), converts the reception signal after the opposite phase component multiplication to a signal of the frequency region, and, on the basis of frequency intervals included in the post-conversion signal of the frequency region which correspond to a plurality of electrical power peak values, estimates the chirp frequency width; and a time width estimation unit (4) that estimates the chirp time width from the chirp frequency width estimated by the frequency width estimation unit (3) and the candidate value selected by the candidate value selection unit (2).

Disclosed are a synchronization signal block processing method, apparatus and device, belonging to the field of communications, the synchronization signal block processing method of the embodiment of the present application comprising: a first device detecting a first synchronization signal block (SSB) portion at a first synchronization grid, the first synchronization grid being related to the first SSB portion, and the first equipment processes the second SSB part according to the first SSB part, and the first SSB part and the second SSB part form an SSB. Therefore, the frequency interval of the synchronization grid can be increased, the sending period of the SSB can be increased, and the complexity and time delay of searching on the frequency domain by the first equipment are reduced, so that network energy saving is realized.

The invention provides a matching iteration method for a sound field model, and aims to remarkably improve the efficiency and accuracy of simulating and calculating a sound field characteristic rule through systematic model comparison and evaluation. The core thought of the method is that for the complex ocean sound field simulation problem, the limitation of a single model is broken through, and the optimal frequency interval suitable for the ray model with high calculation efficiency is defined by introducing a multi-model comparison verification framework. In the specific implementation process, a ray model with the advantage of calculation speed and a reference model such as a parabolic equation model and a coupling normal wave method which are recognized to be high in precision in a low-frequency band range are subjected to cooperative comparison and iterative verification, and a certain sound source depth, a certain receiving depth and a certain calculation distance are set. Obtaining a comparison result of a parabolic equation model, a coupling normal wave method and a ray model, and comprehensively considering two aspects of calculation speed and calculation precision to obtain the optimal sound source frequency of the ray model for iterative selection.

This communication device including a plurality of radio frequency (RF) processing circuits for an antenna array is configured to: transmit first calibration signals having a first subcarrier spacing (SCS) through a plurality of RF transmission paths of the plurality of RF processing circuits; obtain the first calibration signals through a plurality of RF reception paths of the plurality of RF processing circuits; identify a bandwidth of a frequency domain having an amplitude variation of the first calibration signals less than a first threshold value and a phase variation of the first calibration signals less than a second threshold value, on the basis of amplitude information and phase information of the first calibration signals; and perform calibration by transmitting second calibration signals on orthogonal frequency division multiplexing (OFDM) symbols according to a second SCS corresponding to the bandwidth of the frequency domain from among a plurality of SCSs, wherein the second SCS indicates a frequency interval of each of the OFDM symbols, and a time interval of each of the OFDM symbols is inversely proportional to the second SCS.

The application provides a driving fault feedback method and a feedback system. The method first determines frequency segments corresponding to different fault types; then feedbacks a detected fault level signal for logical processing; evaluates fault priority, changes the fault level signal to a low level according to the priority, changes the low level to a high level after a plurality of counting points, takes the high level as an initial value, and continuously outputs frequency signals corresponding to different fault types; finally collects the frequency signals, counts values between two rising edges, and determines a fault type according to the obtained counting values and the fault type frequency segments. The method uses a single channel to feedback fault information, transfers fault information according to feedback pulse frequency, and different frequency bands represent different faults, so that different fault types can be distinguished. By setting a wide fault frequency band and a frequency interval zone, the influence of interference can be greatly reduced.

The present invention relates to a method and device for removing ultrasonic radar co-frequency interference based on grouped frequency conversion. The method includes: determining a plurality of frequency intervals according to multiple operating frequencies of a target ultrasonic radar; dividing the plurality of frequency intervals into a plurality of frequency groups based on the error of the target ultrasonic radar, and determining the allocation weight of each frequency interval according to the cumulative occurrence probability of one or more frequency intervals within each frequency group; dynamically adjusting the allocation weight of each grouped interval of its own ultrasonic radar within a preset period based on the real-time operating frequency of the target ultrasonic radar, and controlling the occurrence time of ultrasonic waves with random frequencies within each grouped interval. The present invention dynamically and randomly adjusts the operating frequency of the radar through the frequency interval and the operating frequency, thereby improving the co-frequency anti-interference ability on the premise of ensuring the radar detection accuracy.

The present invention discloses a sea clutter suppression method based on time-frequency spectrum energy distribution and singular value decomposition, comprising: performing STFT on the echo signal to obtain a time-frequency spectrum, calculating the instantaneous energy of each time-frequency point; equally dividing the frequency interval of the time-frequency spectrum, calculating the energy proportion of the frequency subinterval to the total frequency interval at each time point; for each time point, selecting the amplitude mean of the frequency subinterval with the largest energy proportion as the filtering threshold, and filtering the time-frequency point at that time point using the threshold; performing an inverse short-time Fourier transform on the filtered time-frequency spectrum, and performing singular value decomposition on the obtained echo signal matrix; selecting a singular value set representing the clutter from the singular value decomposition result, and constructing a signal subspace matrix based on the singular value set; projecting the echo signal matrix onto the signal subspace matrix to obtain the echo signal after clutter suppression. The present invention achieves effective sea clutter suppression in a strong sea clutter environment, improving the radar's detection capability for weak targets.

The application provides a time domain detection and Doppler frequency offset estimation method and device of a data link signal, relates to the technical field of signal processing, and comprises the following steps: in the process of performing a sliding window detection on an entire real signal data, for each window, performing coarse scanning on a target frequency interval to determine a first frequency point with maximum integral power, performing fine scanning on the frequency corresponding to the first frequency point to determine a second frequency point with maximum integral power, taking the frequency corresponding to the second frequency point as a target peak frequency of the window, and taking the integral power at the second frequency point as a target integral power of the window; determining a current adjacent frequency reference power based on the integral power at the adjacent frequency points of the second frequency point; determining whether the window hits based on the target integral power and the current adjacent frequency reference power; determining a best hit window from a plurality of hit windows and performing frequency offset fine estimation to obtain a final frequency offset. The application can realize low-complexity fast frequency offset estimation and reduce the calculation amount and online time delay.

This invention discloses a long-term tracking and identification method for bridge dynamic characteristics based on a combination of bandpass filtering and random decrementing. It extracts long-term environmental random excitation acceleration monitoring data of the main girder from a bridge health monitoring system, preprocesses the acceleration data, and calculates the power spectrum of each segment by hour. The center frequencies of each mode are extracted using peak picking, and the energy concentration frequency intervals of the modes of interest are calculated, followed by bandpass filtering. The random excitation response acceleration signals of each mode are converted into free decay signals using random decrementing, and the damping of each mode is fitted using an exponential function model. Based on the multi-mode parameters of the bridge, frequency and modal damping time-history diagrams are plotted according to the time history, enabling long-term tracking and identification of bridge dynamic characteristics. The advantages of this invention are a significant improvement in the accuracy, automation, and computational efficiency of bridge modal parameter identification.

The invention discloses an interference and target identity recognition integrated waveform generation method and system, and mainly solves the problems of low resource utilization rate and poor collaboration caused by independent design of an interference system and a target identity recognition system in the prior art. According to the implementation scheme, parameters are initialized; calculating the center frequency of the target identity recognition inquiry signal; generating a target identity recognition inquiry signal and intermittent sampling forwarding interference; the method comprises the following steps of: inserting a center frequency of a target identity recognition signal into a frequency interval of intermittent sampling and forwarding interference by utilizing the characteristic that the frequency interval exists in an intermittent sampling and forwarding interference spectrum, and superposing the intermittent sampling and forwarding interference and a target identity recognition inquiry signal together in a time domain; and generating an intermittent sampling forwarding interference and target identity recognition integrated waveform. According to the method, target identity identification inquiry information can be carried in intermittent sampling and forwarding interference, dual functions of deception interference and target identity identification are realized at the same time, and the method can be used for detecting identity attributes of a target while radar interference is implemented.

The invention discloses a method for determining structural stress range distribution and related equipment, which output stable and reliable structural stress range distribution by optimizing a frequency domain discrete and time domain reconstruction mode and combining a multi-round statistical optimization and fusion strategy. The method comprises the following steps: acquiring a stress power spectrum of a target structure, randomly dividing frequency intervals in a preset frequency band and distributing phases to obtain a discrete spectrum; reconstructing a time domain stress time calendar and carrying out rain flow counting, and generating multiple groups of dimensionless rain flow stress range probability density distributions; and after average fairing and moment keeping correction, candidate sub-distribution is generated by adopting a multi-fairing strategy, and final distribution is obtained by combining evaluation index weighted fusion. According to the method, the time calendar authenticity is improved through random discretization, distribution convergence is realized through multi-time statistical fusion, and smoothness and statistical characteristics are taken into account through moment maintenance and multi-strategy fusion. Only stress power spectrum input is needed, the method is suitable for complex scenes such as broadband and multi-peak spectrum, the method can be embedded into an existing system for automatic operation, analysis cost is reduced, and fatigue evaluation precision is improved.

The invention provides a coherent OCM optical power detection method and device, and the method comprises the steps: obtaining a frequency prediction model through training, and setting a calibration relation curve between a wave lock parameter and frequency of local oscillation light; continuously outputting local oscillation light with different frequencies at a preset frequency interval, and dividing the output local oscillation light into frequency discrimination local oscillation light and frequency mixing local oscillation light; obtaining a current corresponding wave lock parameter according to the frequency discrimination local oscillation light; obtaining a frequency corresponding to a wave lock parameter according to the calibration relation curve and a frequency prediction model, and taking the frequency as a current actual frequency; performing frequency mixing on the frequency mixing local oscillation light and signal light to obtain a differential signal, and obtaining the optical power of the current signal light according to the differential signal and the current actual frequency; on one hand, the emitting time interval of the local oscillation light is reduced by continuously outputting the local oscillation light with the preset frequency interval, and the detection efficiency is improved; and on the other hand, the local oscillation light frequency is predicted through the frequency prediction model, so that the accuracy of light power detection is improved.

The invention discloses an operation state monitoring method and system based on an intelligent water pump, and relates to the technical field of water pump monitoring, and the method comprises the steps: obtaining the basic working condition parameters of the current operation of the water pump, and calculating the theoretical resonant frequency interval of a sealing cavity system based on the parameters and the inherent characteristics of the water pump; a target frequency scanning sequence is generated, the sequence is used for sequentially adjusting the rotating speed or flow of the water pump to a set of discrete steady-state values, and the system excitation main frequency corresponding to each steady-state value is included in the theoretical resonant frequency interval; according to the invention, dependence on macroscopic leakage signals is broken through, early micro-leakage is identified by using the characteristic distribution rule of resonance energy, the detection sensitivity is significantly improved, and early warning can be given in time at the initial stage of leakage.

In order to solve the problems that a circuit structure is simple, and distance measurement with good accuracy and precision can be achieved, the invention provides a method which does not need to adopt an array antenna, does not need to measure time difference, and only measures phases of two pilot frequency signals to achieve ambiguity-free and high-precision distance measurement. Different from the existing mode of solving the distance by measuring the phase difference, the new method directly uses a distance measurement equation for measuring the phase. In order to eliminate phase ambiguity, the frequency interval of two different-frequency signals is limited to ensure that the same wavelength integer cycle number exists during different-frequency phase detection on the detected distance length. On the basis, the wavelength whole cycle number can be solved through joint solution of a double-frequency phase ranging equation set. And then the detection distance can be obtained by using the phase distance measurement equation again. Simulation analysis shows that in a distance range without phase shift ambiguity, the double-frequency phase distance measurement method is not only good in accuracy, but also capable of obtaining distance measurement precision smaller than 0.2%.

The embodiments of the present application relate to the field of electronic reconnaissance technology, and in particular to an ultra-wideband electronic reconnaissance payload based on electro-optical sensing, comprising: an antenna module, an optoelectronic receiver module, a signal processing module, a Beidou timing module, a secondary power supply module, and an air-cooled chassis, wherein all modules except the antenna module are arranged in the air-cooled chassis; the antenna module receives radio frequency signals of various frequency bands in real time; the optoelectronic receiver module performs low-noise amplification, electro-optical compression conversion, and optoelectronic conversion on the radio frequency signals of various frequency bands, down-converts the high-frequency signals distributed within the ultra-wideband range to the re-frequency interval of the optical frequency comb laser source for processing, and obtains and outputs two compressed intermediate frequency signals after low-pass filtering; the signal processing module performs identification and analysis based on the two compressed intermediate frequency signals, obtains IQ data and time-frequency parameters, and outputs them to an external terminal device. This payload achieves instantaneous, ultra-wideband electromagnetic target coverage and has the ability to intercept electromagnetic information from burst communications.

Disclosed are techniques for wireless sensing. In an aspect, a sensing node receives, from a sensing entity, a configuration of one or more sensing reference signal resources for a sensing session, wherein the configuration indicates a staggering pattern of a plurality of staggers of the one or more sensing reference signal resources across a plurality of time intervals, a plurality of frequency intervals, or both, and wherein each of the plurality of staggers includes one or more repetitions of the one or more sensing reference signal resources, and transmits or receives the one or more sensing reference signal resources according to the staggering pattern.