128 results about "Continuous wave signal" patented technology

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.

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.

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 physiological signal processing, and discloses a millimeter wave radar multi-dimensional physiological feature decoupling heart failure early warning system and method, and the method comprises the steps: configuring a millimeter wave radar to transmit a dual-beam frequency modulation continuous wave signal, collecting human body reflection echoes, and generating a multi-channel original digital signal matrix; generating a chest region and acra region phase signal, an overall reflection signal amplitude sequence and an overall phase drift signal after spatial isolation enhancement through distance-Doppler combined processing; decoupling to obtain a beat-by-beat heartbeat interval sequence, a pulse wave transmission time sequence and a daily net body fluid variation sequence; obtaining a rule engine risk level and a machine learning early warning sign, and determining a final risk assessment level through fusion decision; synchronous high-precision collection and decoupling of non-contact multi-dimensional physiological parameters are achieved, and accuracy and specificity of heart failure decompensation early warning are improved through double-layer model fusion.

The invention relates to the technical field of door lock detection, and discloses a double-camera door lock detection system and method based on a millimeter wave radar. The method comprises the steps that millimeter wave radar transmitting antennas are sequentially activated to transmit linear frequency modulation continuous wave signals in a radar transmitting time slot, an RGB camera and a ToF camera are synchronously triggered to start exposure in a camera exposure time slot, an instantaneous phase difference is calculated according to radar echo intermediate frequency signals, and when the instantaneous phase difference is smaller than a phase change rate threshold value, the camera is triggered to start exposure. Calculating a target radial distance and an azimuth angle; calculating a distance difference value based on the target radial distance, calculating an angle difference value based on the azimuth angle, and establishing an associated target set according to the distance difference value and the angle difference value; and respectively calculating the radar channel confidence coefficient, the RGB channel confidence coefficient and the ToF channel confidence coefficient of each target in the associated target set, and outputting an unlocking trigger instruction. According to the method, the blind area detection time is shortened, and the detection robustness and the recognition accuracy in complex illumination and shielding scenes are improved.

The invention relates to a high-frequency millimeter-wave radar flue dust deposition online monitoring method and system, and belongs to the technical field of industrial process detection.The monitoring method comprises the steps that a flue three-dimensional structure model is loaded, working parameters of a millimeter-wave radar are configured, and a radar scanning space coordinate system is generated; controlling the millimeter-wave radar to transmit a frequency-modulated continuous wave signal; performing temperature drift compensation on the ash deposition layer reflection signal, and outputting a compensated radar signal intensity matrix; solving a flow field distribution equation in combination with the flue three-dimensional structure model, calculating a flow field turbulence intensity coefficient, and generating a radar signal correction mapping table; calculating the ash deposition thickness of each space coordinate point based on the signal propagation time delay, and outputting an ash deposition thickness distribution map; and extracting a thickness gradient feature vector and a Doppler frequency shift feature in the soot deposition thickness distribution diagram, inputting the thickness gradient feature vector and the Doppler frequency shift feature into a soot deposition state classification model, outputting a soot deposition abnormal region coordinate set, and generating a soot blower control instruction or a maintenance alarm instruction. According to the invention, the ash deposition monitoring precision and stability can be improved.

This invention discloses a fall detection method based on millimeter-wave radar, comprising the following steps: S1: The millimeter-wave radar continuously transmits frequency-modulated continuous wave signals and receives echo signals reflected by the human body within the monitoring area; S2: The echo signals are processed to generate human point cloud time-series data containing distance, orientation, velocity, and micro-motion information; S3: Multi-dimensional feature vectors representing human posture and motion state are extracted from the human point cloud time-series data; S4: The multi-dimensional feature vectors are input into a primary fall recognition model to calculate a preliminary fall risk probability value; S5: If the preliminary fall risk probability value exceeds a first set threshold, it is determined to be a suspected fall event, and a secondary precise authentication process is immediately initiated; the secondary precise authentication process includes: initiating non-contact vital sign monitoring and retrieving the user's recent behavioral dynamic baseline model for comparative analysis. This invention enables more accurate fall detection.

The application provides a remote acoustic signal pickup method and system based on phase coding microwave sensing, comprising: constructing a phase coding matrix, and performing phase shift control on the transmission signals of multiple transmission antennas; controlling the multiple transmission antennas to simultaneously transmit a linear frequency modulation continuous wave signal, so that the main lobe of a synthesized beam is directed towards the direction of a to-be-detected acoustic source or the direction of a target medium; using one or more receiving antennas to receive echo signals of the acoustic source target, to obtain a corresponding number of baseband signals; performing acoustic vibration phase demodulation on the corresponding number of baseband signals, to extract vibration information of the surface of the medium target caused by the vibration information of the acoustic source or caused by the excitation of the acoustic wave; and reconstructing the acoustic signal, to realize remote acoustic pickup. The application overcomes the problems of weak echo signals, low signal-to-noise ratio, large adjacent target interference and low quality of reconstructed acoustic signals in remote acoustic pickup, and improves the signal-to-noise ratio and sensing distance of remote acoustic pickup.

The present application belongs to the technical field of oil and gas drilling equipment, and particularly relates to a double-period QPSK continuous wave signal detection method, aiming at solving the problem that the prior art cannot accurately detect and identify drilling fluid pulse signals. The method comprises: collecting a drilling fluid continuous pressure wave QPSK output signal as a measurement-while-drilling signal; wavelet-decomposing the measurement-while-drilling signal to obtain a noisy drilling fluid pulse signal and a noise signal; combining the noise signal, and filtering the noisy drilling fluid pulse signal through a pre-constructed RBF neural network nonlinear adaptive filter to obtain a noise-filtered drilling fluid pulse signal. The present application realizes accurate detection and identification of drilling fluid pulse signals.

The invention discloses a frequency-modulated continuous wave laser radar signal generation method, a frequency-modulated continuous wave laser radar signal detection method and a frequency-modulated continuous wave laser radar signal detection system. The system comprises a transmitting end and a receiving end, wherein the transmitting end determines a frequency guard interval between a frequency-modulated continuous wave signal and zero frequency according to a modulation bandwidth of a radar signal and a line width of a transmitting laser; generating a frequency modulation continuous wave signal according to the frequency protection interval, modulating the frequency modulation continuous wave signal, generating radar detection signal light which is to be sent and contains residual carrier waves, performing power amplification on the radar detection signal light, and transmitting the radar detection signal light by using an optical lens; the receiving end receives the reflected signal light reflected by the target; filtering, beat frequency and coherent detection are carried out on the reflected signal light and the radar detection signal light to obtain an electric signal, and the electric signal is converted into a digital signal; performing electric domain filtering on the digital signal, and extracting a residual carrier and a beat frequency signal; performing phase noise compensation on the beat frequency signal based on the residual carrier to obtain a signal after phase recovery; and estimating the distance and the relative speed of the target based on the residual carrier and the phase-recovered signal.

Methods, systems, and devices for wireless communication are described. A first wireless device may receive, from a second wireless device, a first frequency modulated continuous waveform (FMCW) signal via an orthogonal frequency division multiplexing (OFDM) channel. The first wireless device may generate a second FMCW signal based on a set of FMCW parameters associated with the first FMCW signal. The first wireless device may combine the first and second FMCW signals and filter the combined FMCW signal. The first wireless device may sample the combined and filtered FMCW signal in a time domain. The first wireless device may estimate the frequency domain OFDM channel based on sampling the combined and filtered FMCW signal. The first and second wireless devices may communicate OFDM signals via the OFDM channel based on the estimation of the frequency domain OFDM channel.

The invention discloses a vehicle-mounted communication perception integrated system based on a millimeter wave radar AWR1642, and the system achieves the generation, emission and receiving of a linear frequency modulation continuous wave LFMCW signal of a 77GHz frequency band through an AWR1642 monolithic integrated chip, and synchronously completes the environment perception and data communication functions on the same hardware platform. Based on an AWR1642 single-chip scheme, a communication sensing integration function is realized, and system cost and power consumption are greatly reduced through waveform sharing and modulation strategy optimization. Actual measurement results show that the system can effectively process received communication signals while achieving long-distance and high-precision effective sensing, and a solution with high cost performance is provided for an intelligent connected automobile.

The invention provides a terahertz MIMO array imaging device and an air coupling calibration method thereof, and relates to the technical field of terahertz imaging and microwave measurement, and the device comprises a vector network analyzer which is used for transmitting a step frequency continuous wave signal and receiving an echo signal; the radio frequency interfaces of the terahertz frequency doubling transmitting modules are connected to the radio frequency port of the vector network analyzer through radio frequency cables; a plurality of terahertz frequency multiplication receiving modules, wherein intermediate frequency interfaces and local oscillator interfaces of the terahertz frequency multiplication receiving modules are respectively connected to an intermediate frequency input port and a local oscillator output port of the vector network analyzer through cables; the at least one calibration module is fixed on the column of the array frame, is positioned obliquely below the transmitting module and the receiving module, and points to the transmitting module and the receiving module obliquely and upwards; the transmitting module and the receiving module are arranged into a linear MIMO array.

This invention discloses a method and system for detecting low signal-to-noise ratio periodic linear frequency modulated (LFM) continuous wave signals, relating to the fields of radio target monitoring and spectrum management. The method includes: detecting periodic components in the data to be detected; if periodic components exist, recording period estimates based on these components; determining two adjacent observation windows based on the difference between the period estimates and the delay, and the delay itself; dividing the data to be detected into P consecutive groups of data using the period estimates; using a sampling point as the starting position of a step-size sliding observation window, performing piecewise discrete polynomial transformation and spectrum calculation on the data to be detected corresponding to each step-size sliding observation window, thereby detecting the periodic LFM continuous wave signal; when the detection result indicates the presence of a periodic LFM continuous wave signal, determining the modulation slope and modulation inflection point position of the signal. This invention effectively improves the detection capability for weak periodic LFM continuous wave signals.

The embodiment of the present application relates to a kind of signal generating device, the device includes: communication module, master module, first external interface module, power supply control backplane and function module.By increasing communication module and master module, the FC bus signal received from outside is transmitted to master module by communication module, and after being transmitted to function module by power supply control backplane, the generation of radio frequency continuous wave signal and wideband vector modulation signal is completed.Thereby, the technical effects of high-speed data transmission and signal generation based on FC bus can be realized.

A method for detecting a continuous wave signal of a detector according to an embodiment of the present disclosure includes: moving a local signal frequency, processing external signals based on the local signals, checking the local signal frequency in which a frequency of the local signal that causes the processing signals having a frequency of a detection band, fixing the frequency of the local signal with the frequency checked, discriminating the external signals in which the detected external signals are discriminated as any one of a continuous wave signal and a frequency modulation signal and notifying target signal detection.

The invention relates to a lie detection method, device and equipment based on millimeter wave radar and a storage medium. The method comprises the following steps: transmitting a linear frequency modulation continuous wave signal to a lie detection object through a millimeter wave radar in a time division multiple-input multiple-output mode; receiving echo data of the linear frequency modulation continuous wave signal; performing signal processing on the echo data to obtain micro-motion detection data and physiological signal data; determining a micro-motion feature based on the micro-motion detection data; determining a physiological feature based on the physiological signal data; based on the micro-motion features corresponding to the micro-motion detection data and the physiological features corresponding to the physiological signal data, determining a lie detection result through a pre-trained classification model.

The invention provides a parameter measurement device and method for a terahertz wave beam, and the device comprises a laser signal generation module which is used for generating a combined laser signal; the to-be-tested terahertz continuous wave radiator outputs a terahertz continuous wave signal based on the combined laser signal; the scanning modulation module is used for carrying out beam scanning and modulation on the terahertz continuous wave signal based on the combined laser signal to generate a reflected laser signal; the optical circulator is used for outputting the combined laser signal to the scanning modulation module and outputting the reflected laser signal to the current signal generation module; the current signal generation module generates a current signal based on the reflected laser signal; and a control and data processing module. The parameter measuring device of the terahertz wave beam is based on all-fiber detection, does not need a spatial light path system which is large in size and difficult to adjust, is high in integration level and simple to operate, can realize non-intrusive terahertz wave beam near-field measurement, and can realize ultra-wideband terahertz wave beam measurement.

Various aspects of the present disclosure generally relate to wireless communications. In some aspects, a user equipment (UE) may transmit a discovery signal to an environmental device. The UE may send a continuous wave signal and a command to the environmental device, the command instructing the environmental device to initiate a connection between the UE and the environmental device. The UE may receive a connection request from the ambient device based at least in part on the continuous wave signal and the command. Numerous other aspects are described.

This invention discloses a multi-target hybrid accumulation detection method based on a decoherent clean algorithm, comprising: acquiring the beat signal of a sawtooth frequency-modulated continuous wave signal; performing a one-dimensional Fourier transform on the beat signal to obtain the range dimension information of the target echo, and displaying the target echo's range dimension information as a moving target to obtain a preprocessed signal; searching different coherent segments based on the preprocessed signal, performing coherent accumulation within each segment using GRFT transform, and performing non-coherent accumulation between segments using GRT transform to obtain a hybrid accumulation result; acquiring the peak value in the hybrid accumulation result and comparing the peak value with a hybrid accumulation threshold; extracting the target motion parameters corresponding to the peak value and constructing a decoherent clean signal; removing the clean signal from the beat signal to obtain an updated beat signal, until the updated accumulation peak value is less than the hybrid accumulation threshold. This invention can improve the accumulation gain.

The invention belongs to the technical field of laser radars, and particularly discloses a multi-dimensional target motion state detection system and method. Comprising the following steps: applying a frequency modulation continuous wave signal to continuous laser to form a modulation optical signal, and superposing the modulation optical signal to a conjugate OAM mode, so that an output composite light beam has a linear frequency modulation characteristic and a spiral phase structure at the same time; performing optical beam splitting on the echo signal reflected by the target to respectively form a first channel signal and a second channel signal; performing beat frequency interference on the first channel signal and local reference light, and extracting a Doppler frequency shift component related to a target radial speed through coherent detection; performing direct detection on the second channel signal, and extracting a low-frequency beat frequency component related to a target angular velocity based on beat frequency interference between conjugate OAM modes; and respectively calculating the angular velocity and the radial velocity of the target based on the low-frequency and high-frequency spectrum decoupling. According to the invention, accurate decoupling of Doppler frequency shift of the composite moving target is realized, and the method has high real-time performance and high adaptability.

Techniques for continuous wave (CW) signal transmission in device-to-reader (D2R) backscattering for ambient Internet of Things (IoT) applications are described. A reader device generates multiple CW signals at different frequencies and transmits them via separate antennas. The frequencies are positioned symmetrically within a resource block or across system bandwidth. The disclosure incorporates configurable hopping mechanisms, allowing frequency swapping between antennas or switching to additional antennas. The reader can select various CW transmission parameters, including the number of tones, tone locations, number of transmit antennas, and hopping configurations. The disclosure also addresses adaptive preamble transmission for both reader devices and IoT devices.

The application provides a covert backscatter communication method based on a multicarrier randomized continuous wave, comprising: acquiring multicarrier randomized continuous wave signal characteristic parameters, backscatter signal characteristic parameters and channel parameters between a transceiver and a listener and each user; determining the relative entropy between the probability density function of the listener receiving signal when the user generates a backscatter signal and when the user does not generate a backscatter signal according to the multicarrier randomized continuous wave signal characteristic parameters and the channel parameters between the transceiver and the listener and each user; determining the total achievable rate between the transceiver and all users according to the multicarrier randomized continuous wave signal characteristic parameters, the backscatter signal characteristic parameters and the channel parameters; and maximizing the total achievable rate by a target optimization algorithm with the relative entropy satisfying the concealment condition as a constraint to obtain the statistical characteristic parameters of the optimized multicarrier randomized continuous wave. The application can realize covert backscatter communication.

The invention discloses a wireless coherent full-duplex double-sided bidirectional ranging method and system. The method comprises the following steps: setting two wireless incoherent radars to be respectively positioned on two sides to be subjected to ranging; in a full duplex transmission mode between the two radars, the two radars respectively emit linear frequency modulation continuous wave signals and receive signals from the other radar; extracting a synthesized beat frequency signal from the received signal; determining the maximum value of the periodogram, and estimating the distance of the line-of-sight path from the beat frequency signal; respectively calculating phase estimation values of up and down frequency modulation according to the up and down frequency modulation slopes, and calculating a displacement step estimation value through the phase estimation values of the up and down frequency modulation; and performing periodic error modeling and correction on the plurality of displacement step length estimation values to obtain an absolute position estimation value. According to the method, beat frequency estimation and coherent phase tracking are combined, high-precision transmission can still be achieved in a complex and severe environment, beat frequency estimation is adopted for distance measurement, and the absolute position is measured with millimeter-level precision.

Systems, apparatus, processes, and computer-readable media for wireless communication are disclosed. For example, a network device may transmit a continuous wave (CW) signal to a group of passive devices. The network device may receive, from each passive device in the group of passive devices, at least one backscatter signal with a respective frequency shift based on the CW signal. The network device may estimate channel information for each passive device in the group of passive devices based on the at least one backscatter signal. The network device may 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.

This invention discloses an indoor target localization method and system based on acoustic devices, belonging to the field of indoor measurement and positioning technology. The method includes: utilizing existing loudspeakers and microphone arrays to transmit ultrasonic linear frequency modulated continuous wave signals and receive target echoes; performing de-skew processing using a single reference signal in the digital domain, and then shortening the FFT operation length through a periodic extension reconstruction method; finally estimating the target distance and angle based on the distance spectrum and array signal, respectively. This invention achieves fully digital processing, eliminating the need for an additional analog front-end, significantly reducing hardware costs and computational complexity. It can run in real time on low-power microcontrollers and is suitable for embedded spatial perception in fields such as smart homes and robotics.

The invention relates to a non-inductive interaction intelligent mobile health sign monitoring method and system. The method comprises the following steps: emitting a composite waveform formed by time division multiplexing of a frequency-modulated continuous wave signal and an index modulation orthogonal frequency division multiplexing signal; the receiving end carries out frequency mixing, moving target display filtering, distance dimension fast Fourier transform and phase unwrapping processing on the echo signal, and a phase signal representing thoracic cavity micro-displacement is extracted; a marine predator algorithm with envelope entropy minimization as a fitness function is innovatively adopted, the modal number and penalty factor parameters of a variational modal decomposition model are adaptively optimized, and phase signals are decomposed by using the optimized model; finally, breathing and heartbeat signals are separated from the intrinsic mode function based on the physiological frequency range and the energy screening criterion, and the breathing frequency and the heartbeat frequency are output through spectral analysis. High-precision non-contact vital sign monitoring is realized, and the user experience is remarkably improved.

This invention discloses a method, device, medium, and product for extracting parameters from propeller-modulated signals, relating to the field of electromagnetic signal processing technology. The method includes: transmitting a single-carrier continuous wave signal; receiving a radio frequency signal modulated by periodic propeller shielding and generating a complex baseband sequence; physically modeling the sequence as the sum of complex exponential components containing attenuation factors; constructing a Hankel matrix, using adaptive singular value decomposition for noise reduction and estimating the number of signal components; constructing a lightweight generalized matrix bundle based on the extracted sub-matrices, solving for generalized eigenvalues ​​to separate frequency and attenuation factors; and using the least squares method to obtain amplitude and phase information, thereby extracting the actual modulation parameters. This invention breaks through the limitations of traditional constant amplitude superposition modeling, closely aligns with the physical nature of asymmetric spatial shielding, and enables high-resolution, low-computational-complexity, and high-precision synchronous parameter extraction in environments with low signal-to-noise ratios and short data lengths.