287 results about "Continuous wave signal" patented technology

The invention relates to the field of heart rate monitoring, and discloses a millimeter wave radar breath and heart rate synchronous monitoring method and system, and the method comprises the steps: transmitting a linear frequency modulation continuous wave signal according to a millimeter wave radar, and collecting original echo data reflected by a target region; baseband signal demodulation and phase information extraction are carried out on the original echo data to obtain original phase time sequence data, and the original phase time sequence data comprise thoracic cavity micro-motion features; and according to a Butterworth band-pass filter, preprocessing the original phase time sequence data through human body physiological signal frequency band characteristics to obtain a breathing frequency band signal and a heart rate frequency band signal. According to the method, the apnea event triggering threshold value and the arrhythmia early warning index are updated in real time through Kalman filtering and extended Kalman filtering, so that the monitoring system can dynamically adjust the health parameters, which means that the monitoring system can be optimized in real time and the abnormal health event can be accurately responded in different physiological states.

Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, a network device can transmit, to a group of passive devices, a continuous wave (CW) signal. The network device can receive, from each passive device of the group of passive devices, at least one backscatter signal, based on the CW signal, at a respective frequency shift. The network device can estimate, based on the at least one backscatter signal, channel information for each passive device of the group of passive devices. The network device can then determine, based on the channel information, a channel for transmitting an energy signal to at least one passive device of the group of passive devices for energy harvesting.

The invention provides an underwater sonar target detection system and method. The underwater sonar target detection system comprises an optical fiber hydrophone array module which comprises a plurality of optical fiber hydrophone units, each unit comprises an optical fiber Bragg grating sensor and a sound pressure signal demodulation device, and the optical fiber hydrophone array module is used for collecting underwater sound wave signals in real time and converting the underwater sound wave signals into first electric signals; the sonar transmitting-receiving array module comprises a broadband sonar transmitter, a multi-beam receiver and a signal preprocessing circuit, and is used for actively transmitting a frequency modulation continuous wave signal, receiving a target reflection echo and generating a second electric signal; and the multi-mode signal fusion processing module comprises a high-speed data acquisition card, a self-adaptive noise suppression unit and a time-frequency analysis unit. The underwater sonar target detection system and method provided by the invention have the advantages of relatively high reliability, relatively high detection performance, relatively accurate cross-modal signal fusion and capability of performing intelligent target identification and tracking.

Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, a network device can transmit, to a group of passive devices, a continuous wave (CW) signal. The network device can receive, from each passive device of the group of passive devices, at least one backscatter signal, based on the CW signal, at a respective frequency shift. The network device can estimate, based on the at least one backscatter signal, channel information for each passive device of the group of passive devices. The network device can then determine, based on the channel information, a channel for transmitting an energy signal to at least one passive device of the group of passive devices for energy harvesting.

The invention relates to the technical field of laser radars, in particular to an obstacle detection method and system based on a frequency-modulated continuous wave laser radar, and the method comprises the steps: transmitting a chaotic frequency-modulated continuous wave signal to a detection region, and obtaining a reflection echo signal of a target object; performing decoupling calculation on the difference frequency electric signal to obtain a target time frequency distribution matrix; according to the target time-frequency distribution matrix, predicting the Doppler frequency shift amount of the target object at the next moment; based on the chaos frequency modulation adjustment signal, obtaining a distance measurement deviation compensation amount; the chaos frequency modulation adjustment signal is obtained by dynamically adjusting the chaos frequency modulation slope of the chaos frequency modulation continuous wave signal through the Doppler frequency shift amount; and compensating the difference frequency electric signal frequency value of the target object according to the distance measurement deviation compensation amount and the environmental noise data so as to solve obstacle distance speed detection information. According to the invention, the Doppler frequency shift amount is predicted in real time and the chaotic frequency modulation continuous wave signal parameters are dynamically adjusted, so that the accurate compensation of the distance measurement deviation is realized, and the accuracy of obstacle distance speed detection is improved.

A position determination device, which determines a position of a portable device relative to a vehicle, includes a first communication unit performing Bluetooth (registered trademark) communication with the portable device and a computer executing a process for determining the position of the portable device. The first communication unit transmits and receives (i) a modulation signal for data communication and (ii) continuous wave signals for distance measurement purpose. The first communication unit maintains a communicable state with the portable device even while the computer operates in a power saving mode. The first communication unit executes a process of calculating a distance from the first communication unit to the portable device using data related to reception phases of the continuous wave signals transmitted from the portable device, compares the calculated distance with a predetermined value, and switches from the power saving mode to a normal mode based on comparison result.

The invention discloses a non-contact electrocardio detection method which comprises the following steps: transmitting a frequency modulation continuous wave signal to the heart part of a human body by using an MIMO millimeter wave radar so as to obtain an echo signal reflected by the human body and pre-process the echo signal to obtain a discrete three-dimensional radar signal; enhancing the discrete three-dimensional radar signal by using a 2D beam forming technology to obtain a 2D signal; extracting a target area signal from the 2D signal, and performing phase extraction on the extracted target area signal to obtain phase data; the method comprises the following steps: constructing a WaveGRU-Net network comprising an MODWT module, a CNN module and a Bi-GRU module; and training the WaveGRU-Net network by using the phase data so as to output a reconstructed electrocardiogram by using the trained WaveGRU-Net network, thereby realizing non-contact electrocardiogram detection. According to the method, accurate extraction of the electrocardiosignal is realized, and meanwhile, the signal reconstruction precision is improved.

A cable fault detection system includes a frequency-modulated continuous-wave (FMCW) signal generator, an amplifier connected with the FMCW signal generator, an impedance matcher, a lead cable connected with the impedance matcher, a mixer, a first signal distributor, a second signal distributor, a cable dictionary, and a data processer. The first and second signal distributors are connected with the amplifier, the impedance matcher, and the mixer. The data processer is connected with the mixer for performing cable fault detection using the cable dictionary and a signal from the mixer.

Aspects relate to enhancing communication between ambient IoT devices and network entities using wireless energy transmitter (WET) devices. A WET device may be configured to provide a continuous wave (CW) signal to an ambient IoT device to both power the ambient IoT device and facilitate backscattering and modulation of the CW signal by the IoT device. The IoT device may then transmit the backscattered and modulated CW signal as an uplink transmission to a network entity for processing of the modulated CW signal. The WET device may further avoid interference with a downlink transmission from the network entity by avoiding transmission of the CW signal within downlink slots, transmitting the CW signal within a different frequency band than the downlink transmission, and / or transmit the CW signal on a helper tone separated in frequency from a data tone of the downlink transmission.

The invention discloses a random interference elimination method and system applied to a human body physiological information monitoring radar. The method comprises the steps that a millimeter wave radar is used for transmitting a frequency modulation continuous wave signal to a human body target to obtain an echo signal; obtaining a maximum signal intensity value and breathing waveform energy according to the echo signal; obtaining an intermediate frequency digital signal according to the echo signal, and obtaining an estimated respiration value and an estimated heartbeat value through spectrum estimation; calculating the confidence coefficient of the estimated respiration value and the estimated heartbeat value, setting a confidence coefficient index threshold value, comparing the calculated confidence coefficient with the confidence coefficient index threshold value, and taking a comparison result as a preprocessed heartbeat value and a preprocessed respiration value; the maximum signal intensity value and the breathing waveform energy are used for filtering the preprocessed signals, a sudden change threshold value is set according to human physiological priori knowledge, abnormal sudden change data are filtered out, filtering processing is conducted on the filtered data through a filter, the final heartbeat value and the final breathing value are obtained, and the method is rapid and accurate.

The invention relates to a mine monitoring method based on millimeter-wave radar multi-feature fusion, and the method comprises the steps: transmitting an FMCW signal through a millimeter-wave radar, receiving a target echo, sequentially carrying out the signal preprocessing, 1DFFT distance measurement, 2DFFT speed measurement, velocity ambiguity resolution and DOA estimation angle measurement, and extracting the distance, velocity, angle and energy variation features of a target point cloud; then millimeter-level deformation is obtained through phase analysis; obtaining a vibration frequency through band-pass filtering and spectrum analysis; fusing the six types of features of the target point cloud, adopting a confidence counter weighting decision mechanism, and triggering early warning when a fusion score exceeds a preset threshold value; according to the invention, through the advantages of high reliability, strong anti-interference performance and high non-contact safety of multi-feature fusion decision, the false alarm rate is significantly reduced, and the real-time accurate early warning capability of the mine dangerous state is improved.

The invention discloses a radar gesture recognition method, system and device and electronic equipment, and the method comprises the following steps: S1, transmitting a frequency modulation continuous wave signal to a measurement region, receiving an echo signal scattered by the measurement region, and converting the simulated echo signal into a digital signal containing gesture information; s2, performing data processing on the digital signal containing the gesture information to generate original radar point cloud data containing a gesture target; s3, effective radar point cloud data are screened, point cloud features are generated, whether gestures exist or not is judged, if yes, the step S4 is executed, and if not, the step S1 is executed; s4, a rule matching algorithm without machine learning and a template library is used for directly judging which type of gesture features the gesture features accord with, and the gesture type is determined; and S5, displaying output results of feature extraction and gesture discrimination to realize real-time visual interaction. The method has the advantages that machine learning and a template library are not needed, use is easy, and cost is low.

The invention discloses a multi-node mutual positioning method and system in a complex environment, each node can be set as a master node or a slave node, and the nodes realize a mutual positioning function by transmitting and receiving triangular wave frequency modulation continuous wave signal waveforms; when working in a master node mode, the node is synchronized with working signals of other slave nodes through coarse synchronization and fine synchronization steps, then distance information of the slave nodes is obtained through round-trip flight time calculation, distance information of the slave nodes is obtained through Doppler frequency shift calculation, angle information of the slave nodes is estimated through a DOA method, and positioning of the slave nodes is completed; when the node works in the slave node mode, a to-be-synchronized signal sent by the master node is waited, the to-be-synchronized signal is synchronized with the signal of the master node through the steps of coarse synchronization and fine synchronization, and then the synchronized signal is sent to the master node so that the master node can locate the position of the slave node. According to the method, high-precision mutual positioning among multiple nodes is realized through a working principle of realizing the frequency modulation continuous wave radar among the nodes.

An optical frequency domain reflectometer with environmental disturbance resistance and large strain measurement capability belongs to the field of distributed optical fiber sensing and comprises an opposite sweep frequency light frequency modulation continuous wave signal generation module, a light splitting device, a modulation device, a circulator, a polarization controller, an optical coupling device, a photoelectric conversion module and a data acquisition and processing module. An optical signal generated by an opposite sweep frequency light frequency modulation continuous wave signal generation module is divided into probe light and local oscillation light through a light splitting device, the probe light is modulated through a modulation device and sent to an optical fiber through a circulator, and a Rayleigh back scattering light signal generated by the optical fiber and the local oscillation light interfere in an optical coupling device to obtain interference light; the photoelectric conversion module mixes beat frequency signals of interference light, and the data acquisition and processing module analyzes and processes the beat frequency signals. According to the invention, the position information of the Rayleigh backscattering point is marked by using the modulated probe light, the Rayleigh scattering signal at the corresponding position is restored, crosstalk between channels is inhibited, and high-precision measurement in a large dynamic range and resistant to environmental disturbance is realized.

The invention provides a hidden backscatter communication method based on multicarrier randomized continuous waves. The method comprises the following steps: acquiring multicarrier randomized continuous wave signal characteristic parameters, backscatter signal characteristic parameters and channel parameters between a transceiver and a listener and between the transceiver and each user; according to the characteristic parameters of the multicarrier randomized continuous wave signal and channel parameters between the transceiver and the listener and between the transceiver and each user, determining relative entropy between probability density functions of the listener receiving signal when the user generates a backscattering signal and when the user does not generate the backscattering signal; determining the total reachable rate between the transceiver and all users according to the multicarrier randomized continuous wave signal characteristic parameters, the backscattering signal characteristic parameters and the channel parameters; and maximizing the total reachable rate through a target optimization algorithm by taking the condition that the relative entropy meets the concealment condition as the constraint, and obtaining the optimized statistical characteristic parameters of the multicarrier randomized continuous waves. According to the invention, hidden backscatter communication can be realized.

Methods, systems, and devices for wireless communications are described. Generally, the described techniques enable a first wireless device to scramble at least a portion of one or more frequency-modulated continuous wave (FMCW) signals (e.g., hybrid FMCW signals) using a scrambling identifier, which may enable a second wireless device to differentiate between FMCW signals based on identifying the scrambling identifier. For example, the first wireless device may scramble at least a portion of an upchirp signal, a downchirp signal, or both, of an FMCW signal. The second wireless device may identify the scrambling identifier based on attempting to descramble the scrambled portion of the FMCW signal using multiple candidate scrambling identifiers. In some examples, a scrambling pattern (e.g., which portion of the upchirp signal, downchirp signal, or both, is scrambled) of a hybrid FMCW signal may indicate information associated with the first wireless device.

The invention discloses a breath and heartbeat detection method and system based on an FMCW (Frequency Modulated Continuous Wave) radar. The method comprises the following steps: acquiring a continuous wave signal sent by an FMCW millimeter wave radar to detect a target object so as to obtain a reflected echo signal; the echo signals are preprocessed; separating a respiration signal from a heartbeat signal of the preprocessed echo signal based on an EPH multi-stage cooperative signal processing algorithm; and carrying out anomaly correction on the separated instantaneous frequency anomaly data based on a local weighted regression algorithm. Therefore, the vital sign detection accuracy of the radar can be improved under the interference conditions of background noise, signal harmonic waves and the like.

The invention relates to a high-precision denoising method for mud continuous wave signals while drilling based on CNN-BiLSTM and an attention mechanism. The method comprises the following steps: establishing a sample set containing ideal continuous wave signals and noise continuous wave signals; the construction of a while-drilling slurry continuous wave signal denoising network model based on CNN-BiLSTM and an attention mechanism comprises the following steps: performing multi-scale feature extraction on noise continuous wave signals by using CNN; inputting the multi-scale feature map into a BiLSTM to capture a time sequence dependency relationship of the signal; introducing a multi-head self-attention mechanism into a BiLSTM output layer, calculating a global correlation weight between features, dynamically enhancing effective signal components and suppressing noise; and training the while-drilling slurry continuous wave signal denoising network model by using the sample set, and performing signal denoising by using the trained while-drilling slurry continuous wave signal denoising network model. According to the invention, the spatial-temporal characteristic capturing capability and the signal-noise separation precision of the continuous wave signal in a complex environment can be remarkably improved, and the high-precision reconstruction of an ideal signal can be realized.

An optical circuit is used with continuous wave signals having different wavelengths at a channel spacing from one another. A portion of the optical circuit is implemented in a photonic integrated circuit. Modulators in a modulation stage modulate the continuous wave signals to produce modulated signals. A multiplexing stage, which can have multiplexing filters, power combiners, or power couplers, multiplexes the continuous wave or modulated signals to produce multiplexed signals. The multiplexing stage may be placed either before or after the modulation stage. One or more polarization rotator and combiner (PRC) devices in a final stage combines the multiplexed signals into an output signal. The output signal has a first set of the different wavelengths at a first polarization and has a second separate set of the different wavelengths at a second polarization orthogonal to the first polarization.

The invention relates to the technical field of displacement measurement, in particular to a millimeter-wave radar displacement measurement method based on multi-linear frequency modulation signal adaptive phase unwrapping, which comprises the following steps that: a millimeter-wave radar is arranged at a structural displacement monitoring position, and the millimeter-wave radar transmits a frequency modulation continuous wave signal and receives a reflection echo signal; the receiving signal and the transmitting signal are mixed to generate an intermediate frequency signal; fourier transform is carried out on the intermediate frequency signal to extract phase information, a distance spectrum is obtained, a target with the maximum reflection intensity is selected from the distance spectrum for displacement measurement, and a direction conversion factor beta is calculated according to the geometrical relationship between the radar and the target; the millimeter wave radar continuously emits linear frequency modulation signals at fixed time intervals, and phase information corresponding to each emission is extracted; carrying out unwrapping processing on the extracted phase information; and calculating the actual vibration displacement of the target structure based on the unwrapped phase information. According to the method, the phase winding problem is considered in phase change rate estimation, and the robustness to noise is improved.

The invention provides a radio altimeter with a pre-biased local oscillator. The radio altimeter comprises a transmitting signal source module used for generating a frequency-modulated continuous wave signal; the pre-bias local oscillation module is used for generating a pre-bias frequency-modulated continuous wave local oscillation signal which is synchronous with the transmitting signal source module but lagged in phase; the radio frequency control module is used for controlling the transmitting signal source module and the pre-bias local oscillator module; the frequency mixer module is used for mixing the pre-bias local oscillator signal with a received ground echo signal to generate an intermediate frequency signal containing a pre-bias frequency; and the calculation circuit module is used for calculating the current height value according to the intermediate frequency signal. The system is simple and easy to implement; the lowest height measurement range of the frequency-modulated continuous wave altimeter can be effectively reduced; the original radio frequency feeder line is shortened or cancelled, the link loss is reduced, and the transmitting power is improved.

The invention relates to a single-machine obstacle avoidance method and system based on a millimeter wave radar and a camera, and the method comprises the steps: transmitting a frequency modulation continuous wave signal through the millimeter wave radar, collecting and preprocessing environment original data, and outputting a target list; based on the target list, when the target meets a preset signal-to-noise ratio condition and the speed exceeds a preset speed threshold value, triggering a camera to collect an image, performing real-time classification on the image through a lightweight convolutional neural network model, and outputting a classification result and a bounding box; performing space-time alignment on a target list and a classification result, dynamically allocating weights of radar data and visual data by adopting a confidence weighted fusion algorithm, associating the same target through distance calculation, and outputting a fused target attribute; based on the fused target attributes, constructing a three-dimensional decision matrix, and generating an obstacle avoidance strategy according to a preset priority rule; and converting the obstacle avoidance strategy into a bus control instruction, and controlling the vehicle to execute a corresponding alarm or brake response action.

The invention relates to the technical field of measurement while drilling, in particular to an MWD continuous wave measurement signal processing method and device, and the method comprises the steps: carrying out the modulation processing of an underground MWD continuous wave measurement signal, and obtaining an MWD continuous wave transmission signal; denoising the MWD continuous wave transmission signal twice; and extracting an MWD continuous wave measurement signal from the MWD continuous wave transmission signal after the two times of denoising. According to the invention, the MWD frequency-modulated continuous wave signal is modulated by using the FSK frequency-shift keying, the underground MWD continuous wave measurement signal is enhanced, the external interference resistance of the MWD continuous wave transmission signal in the transmission process is improved, and after the MWD continuous wave transmission signal is received at a wellhead, the MWD continuous wave transmission signal is transmitted to the wellhead. Interference of noise on extraction of the underground MWD continuous wave measurement signal is eliminated to the maximum extent through two times of denoising, so that the accurate underground MWD continuous wave measurement signal can be obtained, and a basis is provided for analyzing the MWD measurement while drilling signal.

The invention belongs to the technical field of wireless communication, and particularly discloses a high-dynamic stable tracking method for non-spread-spectrum continuous wave signals. The method comprises the following steps: obtaining a digital signal based on ADC sampling, and carrying out digital frequency conversion on all sampling points of a current symbol according to a current estimated frequency result to obtain a digital baseband signal; a digital baseband signal under 4 times of oversampling is obtained through multi-stage downsampling, matched filtering processing is carried out on the digital baseband signal under 4 times of oversampling, and an output result of a preset position in matched filtering output is determined as an optimal sampling point to serve as output of a tracking loop; and performing timing error estimation according to an output result of the matched filtering, adjusting the sampling deviation of the next section of data by using a timing error estimation result, solving a phase discrimination value according to the optimal sampling point, and adjusting the digital frequency conversion of the next section of data by using the phase discrimination value. According to the scheme, the technical problem that the non-spread-spectrum continuous wave signal cannot be continuously and stably tracked in a high-dynamic scene is solved.

The invention discloses an unmanned aerial vehicle target active detection method and system based on a millimeter wave radar, and relates to the technical field of unmanned aerial vehicle detection, and the method comprises the steps: carrying out the frequency mixing of an obtained emission frequency modulation continuous wave signal and an echo signal, and obtaining an intermediate frequency signal; performing fast Fourier transform on the intermediate frequency signal to obtain distance information of the target unmanned aerial vehicle; acquiring a plurality of Chirp signals based on the echo signals; based on the phase difference among the plurality of Chirp signals, calculating to obtain the speed information of the target unmanned aerial vehicle; performing angle estimation on the echo signal to obtain angle information of the target unmanned aerial vehicle; integrating the distance information, the speed information and the angle information of the target unmanned aerial vehicle to obtain motion parameters of the target unmanned aerial vehicle; and transmitting the motion parameters of the target unmanned aerial vehicle to a flight control system or other data receiving equipment of the unmanned aerial vehicle. The detection capability and the tracking effect of the unmanned aerial vehicle target can be improved, and the operation safety of the unmanned aerial vehicle is effectively guaranteed.

This application provides a signal transmission method, a communication apparatus, and a communication system, that serve to suppress interference between signals of a plurality of transceivers sharing a same resource. In the method, a first apparatus generates parameter information and sends the parameter information to a second apparatus, such as a transceiver. The parameter information may be determined based on one or more multiplexing modes. The parameter information indicates a value of at least one of a time shift of a time for transmitting a frequency modulated continuous wave (FMCW) signal relative to a reference time, a slope of the FMCW signal, a plus-minus sign of the slope, and a coding parameter used to generate the FMCW signal through phase coding. The second apparatus receives the parameter information and, generates the FMCW signal based on the received parameter information, and sends the FMCW signal.

The invention discloses a cross section water depth continuous measurement method and system based on millimeter waves, and relates to the technical field of hydrographic measurement. According to the invention, through a millimeter wave radar array and a multiple-input-multiple-output antenna, a frequency modulation continuous wave signal is transmitted and a mixed echo signal is received; extracting time-frequency characteristics by using wavelet transform and short-time Fourier transform, and classifying reflection peaks in combination with a Gaussian mixture model; calculating the thickness of an ice layer, the thickness of an air interlayer and an initial water level based on the delay inequality, and dynamically correcting an error through adaptive Kalman filtering; a dynamic focusing algorithm is adopted to synthesize water surface and riverbed reflection signals, and a sand content compensation and flow velocity correction model is introduced to optimize water depth and riverbed elevation inversion; the three-dimensional interpolation weight is optimized through an ant population algorithm, and a high-precision cross section continuous water depth distribution diagram is generated; according to the invention, the problems of poor penetrability, weak anti-interference capability and low continuous water depth precision are solved, and full-section dynamic monitoring of the ice layer thickness, the water level, the water depth and the riverbed form is realized.

The invention discloses a distributed radar data fusion method, which relates to the technical field of radar signal processing and multi-sensor information fusion, and comprises the following steps: arranging a plurality of radar nodes, configuring and transmitting 24GHz frequency-modulated continuous wave signals, receiving echo signals reflected by a target, and transmitting the echo signals to the radar nodes; according to the invention, the radar data fusion system comprises a data acquisition and local processing module, a space-time registration module, an anti-interference module and a track association and fusion module, and a radar data fusion mode and a corresponding analysis result are managed, visualized and stored, so that radar data fusion management can be realized through cloud management and control of the Internet of Things; the target sensing precision, the system resource efficiency, the environmental adaptability, the engineering practicability and the like are remarkably broken through, and the scheme also has strong engineering adaptability, supports heterogeneous sensor dynamic networking, embedded deployment and millisecond-level real-time response, has been successfully applied to scenes such as intelligent transportation and military early warning, and has a wide application prospect. The comprehensive performance comprehensively exceeds the prior art.

The utility model discloses a frequency offset error control device for the distance measurement of a responder, and mainly solves the problem that the modulation frequency offset error is increased in the prior art. The system comprises a transmitting channel, a receiving channel, a frequency synthesizer source module, a ramp generator loop module and a high frequency mixing module. The frequency synthesizer source module outputs in two paths, one path is connected with the ramp generator loop module through a first power divider, a frequency divider and a second power divider, and the other path is connected with the high frequency mixing module through the first power divider, a first filter and a frequency multiplier; the slope generator loop module is connected with the high frequency mixing module through the low frequency mixer and the third filter; the high frequency mixing module mixes the signal output by the frequency multiplier and the signal output by the third filter and then inputs the mixed signal to a transmitting channel for transmission; and the receiving channel receives a transmitted signal and outputs a constant difference frequency signal for distance measurement. According to the utility model, the modulation frequency offset error of the linear frequency modulation signal can be reduced, the frequency stability of the transmitted signal can be improved, and the device can be used for distance measurement based on the linear frequency modulation continuous wave signal responder.

The invention relates to the technical field of signal analysis, and discloses a signal frequency measurement method, device and equipment and a storage medium, and the method comprises the steps: obtaining a to-be-measured signal; the to-be-detected signal is obtained by performing at least one period of signal acquisition on a target continuous wave signal; extracting an amplitude value, a direct current component, an initial phase point and a signal type of the to-be-measured signal; according to the amplitude value and the direct current component of the to-be-measured signal, taking an initial phase point as a starting point of a fitting signal, and generating the fitting signal of the signal type; adjusting the frequency of the fitting signal until the waveform of the signal to be measured coincides with the waveform of the fitting signal; and obtaining the frequency of the target continuous wave signal according to the adjusted frequency of the fitting signal. And high-precision and rapid frequency measurement of continuous wave signals can be realized.