A frequency modulated continuous wave (FMCW) radar device and a signal processing method thereof are provided. The frequency modulated continuous wave radar device includes a transmitter stage circuit, a frequency synthesizer, a receiver stage circuit, a pre-stage circuit, and a signal processing circuit. The transmitter stage circuit transmits a transmitting signal. The frequency synthesizer generates the transmitting signal associated with a chirp period. The receiver stage circuit receives a receiving signal including a periodic interference signal with a noise period associated with the chirp period. The pre-stage circuit outputs a to-be-processed signal including multiple frames according to the receiving signal and the transmitting signal. The signal processing circuit groups the frames into multiple frame groups. The signal processing circuit generates a processed signal by sampling at least one frame from the multiple frames in each of the frame groups with an identical sampling rule.

A radar device according to one aspect of the present disclosure includes a transmitting antenna, a receiving antenna, a signal acquisition unit, an interference removing unit, a spectrum acquisition unit, a target extraction unit, and a first threshold calculation unit. The interference removing unit is configured to remove an interference signal from the amplitude signal acquired. The interference signal has an amplitude value exceeding a first threshold. The target extraction unit is configured to extract at least one target component exceeding a set second threshold from a frequency spectrum. The first threshold calculation unit is configured to calculate the first threshold using the at least one target component extracted.

A detection method using a frequency modulated continuous wave, a radar, and a computer-readable storage medium. The method includes: emitting a detection wave to detect a target object, where the detection wave is a nonlinear frequency sweep modulated signal; receiving an echo of the detection wave reflected by the target object; obtaining an actual beat frequency signal according to the echo and the detection wave; and obtaining a distance and/or velocity of the target object according to the actual beat frequency signal. By the method, the decoupling and separation of distance/velocity information may be completed in a single cycle. The decoupling and separation of a distance/velocity can be completed within a single frequency sweep cycle, and a detection probability of a system is kept from deteriorating.

A radar system, apparatus, architecture, and method are provided with a transmitter that produces a plurality of distinct FanTOM signals that are transmitted as N RF-encoded transmit signals in an overlapped fashion such that the pulse repetition interval and frame length are kept short; a receiver that processes target return signals reflected from the N RF-encoded transmit signals with a mixer to produce an IF signal which is filtered with one or more notch filters clocked with a sampling clock frequency to control harmonic notch frequencies to suppress transmitter spill-over and close-in self-clutter interference, thereby producing a filtered IF signal that is converted to a digital signal with an analog-to-digital converter that is clocked with the sampling clock frequency; and a radar processor that processes the digital signal to generate a range spectrum comprising N segments that correspond, respectively, to the N RF-encoded transmit signals.

Techniques are discussed herein for analyzing radar data to determine that radar noise from one or more target detections potentially conceals additional objects near the target detection. Determining whether an object may be concealed can be based at least in part on a radar noise level based on a target detection, as well as distributions of radar cross sections and/or doppler data associated with particular object types. For a location near a target detection, a radar system may determine estimated noise levels, and compare the estimated noise levels to radar cross section probabilities associated with object types to determine the likelihood that an object of the object type could be concealed at the location. Based on the analysis, the system may determine a vehicle trajectory or otherwise may control a vehicle based on the likelihood that an object may be concealed at the location.

Various embodiments include methods and systems having detection apparatus operable to cancel or reduce leakage signal originating from a source signal being generated and transmitted from a transmitter. A leakage cancellation signal can be generated digitally, converted to an analog signal, and then subtracted in the analog domain from a received signal to provide a leakage-reduced signal for use in detection and analysis of objects. A digital cancellation signal may be generated by generating a cancellation signal in the frequency domain and converting it to the time domain. Optionally, an estimate of a residual leakage signal can be generated and applied to reduce residual leakage remaining in the leakage-reduced signal. Additional apparatus, systems, and methods can be implemented in a variety of applications.

A system for compensating for phase noise, with particular application in lidar, includes a compensation interferometer that receives a signal from a source, and splits it into a first and second path, with a path length difference Δτ between them. Typically the path length is significantly less than that of the return distance to a target. The output of the compensation interferometer, which consists of phase noise generated in time Δτ is vectorially summed during a time similar to a signal flight time to a target, and the result used to reduce phase noise present on measurements of a target. It further includes means for selecting Δτ such that competing noise elements are reduced or optimised.

An electronic device includes a controller that performs control to enable switching between a first band mode such that a transmission wave is in a first band and a second band mode such that the transmission wave is in a second band broader than the first band. The controller performs control to switch to the second band mode when an object is detected within a predetermined distance in the first band mode.

The present invention provides a method and a portable non-invasive sub-THz and THz (THz) radar system for remotely detecting physiological parameters of a subject, comprising: one or more transmission means for transmitting THz signals to a subject predefined tissue; one or more reception means for receiving a THz signal of the subject, the THz signals being a reflection of the THz signal from subject tissue thereby, receiving at least one physiological parameter change; and microprocessor means coupled and configured to communicate with the transmitter means and/or the reception means for receiving and processing the reflected signals. The microprocessor comprising instructions of pre-treatment and folding the reflected signals; filtering and decimating selected portions of the folded signals and removing folded segments; decomposing of the decimated signal s into sub-component signals: identifying and removing sub-component signals due to random motions; locating quasi-periodic signal information from the remaining sub-component signals thereby, determining at least one physiological parameter of the subject based upon the quasi-periodic signal information components.

According to one example, the present disclosure is directed to a method and apparatus in which such receiver circuitry and signal processing circuitry may reside The receiver circuitry receives a FMCW radar signal having a content signal (e.g., a random or information signal) embedded into a radar waveform and indicating a relationship in the FMCW radar signal between beat frequency and time delay The signal processing circuitry may apply a filter (e.g, filtering with a group delay that approximates or relates to the relationship) that causes a residual error in, due to dispersion of, the content signal, and may account for (e.g, mitigate) the residual error by introduction of a dispersion-related function in further processing of the content signal.