174 results about "Modulated continuous wave" 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.

A human body breathing and heartbeat signal estimation method based on a multi-channel frequency modulation continuous wave millimeter wave radar (FMCW) is characterized by comprising the following steps of (1) obtaining an intermediate frequency signal of a multi-channel frequency modulation continuous wave millimeter wave radar (FMCW) system, (2) carrying out distance dimension FFT and phase extraction and unwrapping on a Chirp intermediate frequency signal channel by channel, and (3) carrying out phase extraction and unwrapping on the Chirp intermediate frequency signal channel by channel. (3) calculating signal energy of interested breathing and heartbeat frequency bands in the phase time sequence under all distances, and weighting amplitudes of all distance dimension FFT under all distances to realize accurate positioning of a human body target, and (4) regarding the phase time sequence under the accurate distance and the adjacent distance of each channel as potential multipath signals, and performing fusion enhancement on the signals to realize accurate positioning of the human body target. And (5) processing the enhanced phase time sequences of the channels on the basis of multivariate variational mode decomposition, separating and estimating respiratory signals and heartbeat signals of the human body, and calculating an average respiratory rate and an average heart rate in an observation time period.

The invention discloses a leakage monitoring method based on an LNG fuel gas system. The leakage monitoring method comprises the steps that a self-adaptive frequency modulation continuous wave active acoustic scanning network is established; blind source separation is carried out on mixed signals in acoustic scanning network abnormal events by adopting self-adaptive kernel independent component analysis; constructing a leakage feature mapping model of the physical information neural network; leakage source accurate positioning and quantification based on acoustic tomography and Bayesian reasoning are carried out; multi-modal decision fusion is carried out based on the multi-dimensional data sources received in parallel, a false alarm suppression mechanism is set, and time continuity verification and space consistency verification are carried out; establishing a reinforcement learning model for autonomously optimizing a monitoring strategy according to environment change and system state, and realizing adaptive optimization; the strategy network after self-adaptive optimization is deployed at the cloud, actions are generated regularly according to the current state, the actions are issued to the regional gateway and the edge node for execution, and iterative updating is carried out, so that the monitoring accuracy in a complex environment is improved, and the false alarm rate is reduced.

The invention provides a leaky-wave antenna and a frequency-modulated continuous wave generation method based on the leaky-wave antenna, and relates to the field of millimeter-wave radar, and the method comprises the steps: constructing a space-time coding matrix, configuring a radiation unit state regulation and control beam direction in a space domain, modulating a radiation unit state switching rule in a time domain to generate a frequency-modulated continuous wave, and achieving space-time dual-domain regulation and control. And frequency-modulated continuous waves with controllable bandwidth are generated. The space-time coding leaky-wave antenna is formed by alternately arranging 1-bit radiation units in an upper row and a lower row, switching of radiation / non-radiation states is achieved by loading a synchronous bias PIN diode across an annular gap, a space-time coding matrix is constructed, the states of the radiation units are configured in a space domain to regulate and control the wave beam direction, and the space-time coding leaky-wave antenna is formed. Modulating the switching rule of the radiation unit in a time domain, and generating a frequency-modulated continuous wave; the radiation efficiency is improved by the alternative arrangement of the radiation units, the control difficulty and the hardware cost are reduced, multiple functions are integrated into a single device, and the problem of low integration level of the traditional separation architecture is solved.

The invention relates to the technical field of laser radars, in particular to a non-aliasing frequency-modulated continuous wave radar detection system and method, and the system comprises a light source, a beam splitter, a circulator, a 90-degree mixer, a signal conversion module and a signal processing unit. The signal processing unit is configured to construct a composite vector signal S based on the first electric signal I and the second electric signal Q, S = I + jQ, j is an imaginary part operator, obtain a double-sideband spectrum based on the composite vector signal S, determine the frequency of a signal peak in an upper frequency sweeping period and the frequency of a signal peak in a lower frequency sweeping period in the double-sideband spectrum, and determine the frequency of the signal peak in the upper frequency sweeping period and the frequency of the signal peak in the lower frequency sweeping period; and obtaining the distance and speed of the target to be measured based on the frequency of the signal peak in the upper frequency sweeping period and the frequency of the signal peak in the lower frequency sweeping period. According to the invention, the problem of signal aliasing during detection of the to-be-detected target can be solved at least.

The invention provides a multilayer medium efficient imaging method suitable for frequency modulation continuous wave ice radar data, and belongs to the field of frequency modulation continuous wave ice radar imaging. Comprising the steps of multi-layer medium signal model construction, improved distance-Doppler algorithm implementation, distance migration accurate correction and azimuth focusing processing. According to the method, a multi-layer medium signal model containing refractive index and propagation velocity changes is established for the problem of target distance distortion caused by propagation velocity differences of electromagnetic waves in different media such as ice and snow; based on the model, a traditional distance-Doppler algorithm process is improved, distance migration caused by multiple layers of media is accurately corrected by introducing a medium-dependent distance migration factor, and efficient azimuth focusing is achieved. And finally, a high-resolution ice layer internal structure image can be generated, and the method is suitable for polar region large-range ice cover detection and rapid processing of a large amount of ice radar data.

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.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a transmitter node may determine a set of parameters for a waveform to be transmitted by the transmitter node, wherein the waveform is to use an allocated bandwidth that is larger than a sweeping bandwidth of a frequency modulated continuous wave (FMCW) chirp. The transmitter node may transmit the waveform according to the set of parameters. Numerous other aspects are described.

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

This invention belongs to the field of communication technology and discloses a voice communication system based on deep ultraviolet light. The system includes: a voice communication terminal, a transmitting information processing module, an electro-optical conversion module, a transmitting optical system, a receiving optical system, a photoelectric conversion module, and a receiving information processing module. Compared with traditional radio frequency communication, ultraviolet light has excellent anti-interference and anti-interception capabilities; compared with point-to-point communication in the deep infrared band, ultraviolet light has non-line-of-sight characteristics, enabling communication even in jungle warfare. This invention uniquely employs FMCW (Frequency Modulated Continuous Wave) modulation. FMCW encodes bit information as a continuous increase or decrease in frequency. The receiving end obtains the difference frequency signal through mixing, which can be demodulated using matched filtering or Fourier transform, significantly improving processing gain and noise immunity. Even under weak scattered light conditions, signals can be reliably extracted from strong backgrounds, greatly improving communication link margin.

Determining classification(s) for object(s) in an environment of autonomous vehicle, and controlling the vehicle based on the determined classification(s). For example, autonomous steering, acceleration, and / or deceleration of the vehicle can be controlled based on determined pose(s) and / or classification(s) for objects in the environment. The control can be based on the pose(s) and / or classification(s) directly, and / or based on movement parameter(s), for the object(s), determined based on the pose(s) and / or classification(s). In many implementations, pose(s) and / or classification(s) of environmental object(s) are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and / or a frequency-modulated continuous wave (FMCW) LIDAR component.

There is provided a device for phase noise compensation for a frequency modulated continuous wave, FMCW, light detection and ranging, LIDAR, system, said device comprising: an optical interferometer receiving a light signal from a source of the LIDAR system, splitting the light signal into a first and a second light signal into a first and a second path having a preset delay therebetween, and combining the light signals having passed the first and the second path, a detector detecting the combined light signals; a phase noise determination module receiving the detected signal and determining a plurality of phase noise signals corresponding to integer numbers of the preset delay; and a phase noise compensation module receiving and processing a LIDAR response signal in a plurality of branches, and for each branch, compensating phase noise in the LIDAR response signal using one of the phase noise signals, and determining a fast Fourier transform, FFT, of the compensated signal for a specific range of distances to a target, the branches being configured to determine the FFT for mutually unique ranges.

A radar device includes a frequency modulated continuous wave (FMCW) generator, a radio frequency (RF) circuit, a computing circuit, and a coherent subtractor. The FMCW generator is configured to generate an FMCW signal. The RF circuit is configured to modulate the FMCW signal into an RF signal and demodulate a reflection signal reflected at a target from the RF signal, so as to obtain a received signal. The computing circuit is configured to reconstruct a short-range leakage signal according to the FMCW signal and an estimated channel coefficient, a delay coefficient, a phase coefficient, and an amplitude coefficient obtained in a short-range leakage estimation stage of the radar device. The coherent subtractor is configured to compensate the received signal by the reconstructed short-range leakage signal.

The invention discloses a high-speed high-precision frequency modulation continuous wave laser ranging chip, which belongs to the technical field of laser ranging and comprises a laser light source module, an outer resonant cavity linear frequency modulation module, a coherent detection module and a signal processing module. The laser light source module adopts an indium phosphide DFB laser with an optimized multi-quantum well structure to generate narrow-linewidth tunable seed laser; the outer resonant cavity linear frequency modulation module realizes injection locking through a multi-micro-ring cascade resonant structure, suppresses nonlinearity in combination with an FPGA closed-loop correction unit, and outputs a high-linearity frequency modulation signal; the coherent detection module receives and transmits signals through an antenna and completes coherent frequency mixing. And the signal processing module realizes time sequence synchronization based on the correlation function, and calculates the target distance and speed through the frequency modulation continuous wave principle. The chip realizes frequency modulation bandwidth greater than or equal to 1.5 THz, sub-millimeter ranging precision and data acquisition rate greater than or equal to 1000 times / s, solves the contradiction between narrow linewidth and wide tuning, adapts to scenes such as intelligent driving and unmanned aerial vehicles, and gives consideration to integration level and reliability.

This invention discloses a terahertz-band foreign object detection radar system and method for airport runways. The system includes: a transmitting module for generating and transmitting a 240 GHz frequency-modulated continuous wave detection signal; a receiving module for receiving the echo signal and down-converting it to an intermediate frequency signal; a turntable system for driving the transmitting and receiving modules to rotate synchronously for azimuth scanning; and a digital control and processing module for generating baseband waveforms, acquiring angle information and intermediate frequency signals, and performing data processing to detect and locate foreign objects. This invention utilizes the physical law that the radar cross-section of a target is inversely proportional to the fourth power of its wavelength, fundamentally enhancing the electromagnetic scattering response of small targets and achieving high-sensitivity detection of millimeter-sized metal debris and non-metallic foreign objects, providing a reliable technical solution for foreign object detection on airport runways.

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.

According to the wind turbine generator blade icing dynamic early warning system provided by the invention, through omnibearing monitoring of the frequency modulation continuous wave radar group, the orthogonal weaving piezoelectric fiber array and the infrared temperature measurement unit, airspace water drop distribution, blade vibration characteristics and multi-dimensional dynamic changes of a surface temperature field are accurately captured; by combining improved Kalman filtering, wavelet transformation and a dynamic weight distribution algorithm of an intelligent decision module, traditional single threshold judgment is upgraded to comprehensive threat index deduction based on digital twinborn bodies, and the temporal-spatial resolution and reliability of icing threat assessment are remarkably improved; the execution control module achieves heating network partition accurate regulation and control and unit operation state collaborative optimization according to the generated anti-icing strategy, energy waste of traditional global heating is avoided, material damage caused by local overheating or underheating is effectively restrained, finally, anti-icing energy consumption is reduced under the complex meteorological condition, and the anti-icing efficiency is improved. And meanwhile, the power generation efficiency loss of the unit under the icing working condition is greatly reduced.

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.

A method, for example a computer-implemented method, for a radar device for frequency-modulated continuous wave operation, for example an FMCW radar device, for example for a vehicle and / or for an infrastructure facility, comprising: providing, for example determining, first information characterizing a center frequency for at least one signal to be transmitted by the radar device, based on an orientation of the radar device, for example based on a geographical orientation, for example with respect to a reference orientation; providing, for example determining, second information characterizing at least one time resource for the signal to be transmitted by the radar device; and, optionally, transmitting the signal with the center frequency according to, for example in, the at least one time resource by means of the radar device.

This application provides a frequency-modulated continuous wave lidar system and a lidar-based target detection method. The system includes a transmitting unit, a receiving unit, a temperature sensor, and a controller unit. The transmitting unit includes a laser for transmitting a detection light signal to a detection area. The receiving unit receives reflected light signals from a target within the detection area, beats the reflected light signals with a local oscillator signal to obtain a beat frequency signal, and sends the beat frequency signal to the controller unit. The temperature sensor monitors the real-time temperature of the transmitting unit. The controller unit acquires sensor data from the temperature sensor, obtains the real-time temperature of the transmitting unit based on the sensor data, performs temperature compensation on the modulation bandwidth of the laser based on the real-time temperature of the transmitting unit, and analyzes the beat frequency signal according to the temperature-compensated modulation bandwidth to obtain parameter information of specified parameters of the target.

Methods, systems, and devices are described for wireless communication. A transmitting device in a wireless communication system can transmit a multi-port FMCW reference signal by applying a different respective delay to each transmitting port in a set of transmitting ports when transmitting the reference signal. The delay can correspond to a cyclic shift or a linear shift. Additionally or alternatively, the transmitting device can transmit the multi-port FMCW reference signal from each transmitting port in the set of transmitting ports on the transmitting device according to a frequency window. A given frequency window can be defined by a preconfigured upper frequency limit and a lower frequency limit. The transmitting device can transmit, via each transmitting port in the set of transmitting ports, a portion of a chirp waveform, the instantaneous frequency of which lies within a different respective frequency window.

A light source for a frequency-modulated continuous-wave (FMCW) LiDAR device is formed by a photonic integrated circuit and comprises a substrate and a multilayer structure. Formed in the multilayer structure is a semiconductor laser that is received in a recess etched into the multilayer structure. An optical path between the semiconductor laser and a reflector forms an external cavity for the semiconductor laser. The external cavity includes a variable attenuator causing an attenuation of light guided in the cavity optical waveguide. The external cavity may also or alternatively include an optical phase modulator.

The invention discloses an anti-unmanned aerial vehicle radar system, a detection method and device thereof, electronic equipment and a storage medium. The anti-unmanned aerial vehicle radar system comprises a main control device, a radio frequency circuit and a front-end array antenna module. The main control device is used for sending a driving control signal to the radio frequency circuit and processing a feedback signal to obtain a detection result; the radio frequency circuit is used for generating a continuous wave radio frequency signal based on the driving control signal, sending the continuous wave radio frequency signal to the front-end array antenna module, receiving a reflection signal fed back by the front-end array antenna module to generate a feedback signal, and sending the feedback signal to the main control device. The anti-unmanned aerial vehicle radar system works based on frequency modulated continuous waves, and has the advantages of higher scanning speed, better interference resistance, higher estimation precision, low equivalent omnidirectional radiation power, better dynamic range adaptability and the like compared with a traditional analog beam forming technology. Therefore, existence of the unmanned aerial vehicle can be found and identified in time.

A LiDAR system and a method for operation thereof are provided. The LiDAR system comprises: a frequency-modulated continuous wave (FMCW) light source configured to produce an FMCW signal; and an amplitude modulator configured to modulate an amplitude of at least a portion of the FMCW signal, thereby producing an Amplitude-Frequency-Modulated-Continuous-Wave (AFMCW) signal; a splitter configured to split one of the FMCW signal and the AFMCW signal into a first portion and a second portion, the first portion being an output signal for reflecting off the object, thereby producing a reflected signal, and the second portion being a reference signal for amplifying the reflected signal; and a detector configured to amplify the reflected signal based on the reference signal as a function of a distance from the LiDAR system to an object, thereby generating an amplified reflected signal for determining the distance to the object.

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.

The application discloses a multi-modal human body recognition system and method based on photoelectric super surface and radar fusion, and belongs to the field of optoelectronics and radar sensing technology. The system realizes optical edge enhancement through a phase programmable super surface, combines continuous wave radar and frequency modulated continuous wave laser radar to obtain micro-Doppler spectrum and three-dimensional point cloud, and simultaneously collects near-infrared reflectance spectrum. On the algorithm, a cross-modal Transformer-GAT architecture is adopted to fuse multi-source features, an adaptive kernel function is used to optimize edge extraction, and a Mach-Zehnder interferometer or a ReRAM chip is used to realize low-power edge reasoning. Experiments show that the recognition accuracy of the application in complex scenes such as multi-target occlusion and low light is significantly better than that of a single modal scheme, and the application has edge deployment capability of ≤25ms delay and ≤4W power consumption, thereby providing an efficient solution for multi-scene human body dynamic recognition and health monitoring.

This application provides a ranging method and system based on a frequency-modulated continuous wave (FM-CW) lidar. The method includes: when using an FM-CW lidar to measure distance at a specified scanning angle, during a first ranging period, scanning at least one scanning angle within a specified angle range using the FM-CW lidar to obtain at least one ranging signal segment. The first ranging period corresponds to the specified scanning angle, and the specified angle range includes the specified scanning angle. Distance calculation is performed on the first ranging signal in the at least one ranging signal segment, and the calculated ranging result is determined as the first ranging result corresponding to the specified scanning angle. The signal-to-noise ratio (SNR) of the first ranging signal is greater than or equal to a SNR threshold. This application solves the problem of poor ranging accuracy due to poor speckle morphology in related ranging methods based on FM-CW lidar.

The present application relates to the technical field of laser radar, and especially relates to a non-aliasing frequency modulation continuous wave radar detection system and method, the non-aliasing frequency modulation continuous wave radar detection system comprising: a light source, a beam splitter, a circulator, a 90-degree frequency mixer, a signal conversion module and a signal processing unit, the signal processing unit being configured to: construct a complex vector signal S based on a first electrical signal I and a second electrical signal Q, S=I+jQ, wherein j is an imaginary operator, and obtain a double sideband spectrum based on the complex vector signal S, determine the frequency of a signal peak in an up-sweeping frequency period and the frequency of a signal peak in a down-sweeping frequency period in the double sideband spectrum, and obtain the distance and speed of a target to be detected based on the frequency of the signal peak in the up-sweeping frequency period and the frequency of the signal peak in the down-sweeping frequency period.The present application is at least beneficial to solve the signal aliasing problem when detecting the target to be detected.