A SIL monopulse radar includes a self-injection-locking oscillator (SILO), a transmit antenna, two receive antennas, a hybrid coupler, a first demodulator, a second demodulator and a processor. The transmit antenna transmits the oscillation signal of the SILO to object. The two receive antennas receive a reflected signal from the object as a first echo signal and a second echo signal. The hybrid coupler outputs a difference signal and a sum signal. The difference signal is injected into the SILO. The first demodulator frequency-demodulates the oscillation signal to produce a first demodulated signal. The second demodulator phase-demodulates the sum signal by using the oscillation signal as a reference signal to produce a second demodulated signal. The processor processes the first and second demodulated signals to produce a monopulse ratio signal. The SIL monopulse radar can identify the posture and motion of a human body by analyzing the monopulse ratio signal.

A method for radar based object classification, the method may include obtaining multiple radar samples of an object; the multiple radar samples were acquired at different acquisition times; wherein the multiple radar samples comprise a plurality of first radar sample parameters; calculating second radar sample parameters for the multiple radar samples, by applying one or more non-linear functions on at least some of the plurality of first radar sample parameters of at least some of the multiple radar samples; generating an object signature that comprises temporal information and inter-parameter correlation information; wherein the generating comprises feeding, to each one of a deep neural network (DNN) and a time delay neural network (TDNN), (a) at least some of the plurality of first radar sample parameters, and (b) at least some of the second radar sample parameters; and classifying, by a classifier, the signature to a signature class.

A method for real-time THz sensing using true time delay (TTD) is implemented by a base station and includes transmitting, by a transceiver that includes TDD elements and phase shifters configured in the transceiver, simultaneous frequency dependent (SFD) beams to scan an environment at a first granularity to detect a spatial cluster target. Each of the SFD beams corresponds to a different phase angle and different frequency. The method includes determining, among the SFD beams, a subset of beams that detected the spatial cluster target. The method includes beam switching, by the transceiver, using time division multiplexing (TDM) and a TDM bandwidth to scan a portion of the environment at phase angles corresponding to the subset of beams and at a second granularity finer than the first granularity. The method includes combining data received from the SFD beams, by multiple threads that concurrently process data received from the SFD beams.

An object recognition device is configured to perform object recognition based on information from a unit configured to detect an object image in each frame based on a reflected signal of a transmission signal and configured to calculate one or more patterns of a confidence degree regarding the object image detected according to one or more preset calculation methods. The object recognition device includes: a first evaluation value calculator configured to increase a count of a first evaluation value indicating a probability that the object image is a real image based on the one or more patterns of the confidence degree; and a real image determiner configured to determine that the object image is a real image when a cumulative count of the first evaluation value exceeds a comparative value.

An estimating method includes: measuring and receiving reception signals including a reflected signal reflected by a moving body, for a first period equivalent to a cycle of movement of the moving body; calculating first complex transfer functions indicating propagation characteristics, from the reception signals measured in the first period; calculating second complex transfer functions having reduced components corresponding to fluctuations, from the first complex transfer functions; extracting moving body information corresponding to a component related to the moving body by extracting moving body information corresponding to a predetermined frequency range of the second complex transfer functions calculated; and estimating a direction in which the moving body is present using the moving body information.

A micro impulse radar (MIR) system includes an MIR transceiver circuit configured to transmit, towards a subject, at least one transmitted radar signal, and receive at least one radar return signal. The system includes a control circuit configured to generate a control signal defining a radar signal parameter of the at least one transmitted radar signal, provide the control signal to the MIR transceiver circuit to cause the MIR transceiver circuit to transmit the at least one transmitted signal based on the radar signal parameter, and determine, based on the at least one radar return signal, a physiological parameter of the subject.

In accordance with an aspect of the disclosure, an electronic device is provided. The electronic device comprises an antenna array, a wireless communication module electrically connected to the antenna array and configured to form directional beams through the antenna array, at least one processor operatively connected to the wireless communication module; and a memory operatively connected to the at least one processor. The memory stores instructions causing the at least one processor to perform a plurality of operations comprising: transmitting a sequence of first directional beams having a first beam width to scan first regions having a first size through the antenna array, receiving a sequence of first reflected waves generated by reflection of the sequence of the first directional beams from an object through the antenna array, transmitting a sequence of second directional beams having a second beam width narrower than the first beam width to scan second regions, which are included in the first regions and have a second size smaller than the first size, through the antenna array based on at least a portion of the received sequence of the first reflected waves, receiving a sequence of second reflected waves generated by reflection of the sequence of the second directional beams from the object through the antenna array, and authenticating the object based on at least a portion of the sequence of the second reflected waves.

In accordance with an aspect of the disclosure, an electronic device is provided. The electronic device comprises an antenna array, a wireless communication module electrically connected to the antenna array and configured to form directional beams through the antenna array, at least one processor operatively connected to the wireless communication module; and a memory operatively connected to the at least one processor. The memory stores instructions causing the at least one processor to perform a plurality of operations comprising: transmitting a sequence of first directional beams having a first beam width to scan first regions having a first size through the antenna array, receiving a sequence of first reflected waves generated by reflection of the sequence of the first directional beams from an object through the antenna array, transmitting a sequence of second directional beams having a second beam width narrower than the first beam width to scan second regions, which are included in the first regions and have a second size smaller than the first size, through the antenna array based on at least a portion of the received sequence of the first reflected waves, receiving a sequence of second reflected waves generated by reflection of the sequence of the second directional beams from the object through the antenna array, and authenticating the object based on at least a portion of the sequence of the second reflected waves.

Various arrangements for performing ballistocardiography using a mobile device are presented. A radar integrated circuit of a mobile device may emit frequency-modulated continuous-wave (FMCW) radar. Reflected radio waves based on the FMCW radar being reflected off objects may be received and used to create a raw radar waterfall. The raw radar waterfall may be analyzed to create a ballistocardiography waveform. Data based on the ballistocardiography waveform may be output, such as to a machine-learning application installed on the mobile device.

A machine-learning architecture may be trained to determine point cloud data associated with different types of sensors with an object detected in an image and/or generate a three-dimensional region of interest (ROI) associated with the object. In some examples, the point cloud data may be associated with sensors such as, for example, a lidar device, radar device, etc.