This radar device can recognize the type of a specific target (in particular, a two-wheeled vehicle) with high precision, using only the radar device. The radar device comprises: a transmission unit that transmits a transmission wave, based on a transmission signal, toward the target; a receiving unit that receives a reflected wave generated by the transmission wave being reflected by the target, and thereby generates a reception signal; and a target detection unit that acquires information on the target on the basis of the transmission signal and the reception signal. The target detection unit calculates the relative speeds of a plurality of detection points within the same target, and determines the type of the target on the basis of the spread of the relative speeds.

Various examples are provided for non-contact vital sign acquisition. Information can be provided regarding vibrations of a target using a radar signal such as, e.g., non-contact vital sign measurement. Examples include estimation of heart rate, change in heart rate, respiration rate, and/or change in respiration rate, for a human or other animal. Implementations can produce one or both rates of vibration and/or change in one or both rates of vibration for a target other than an animal or human experiencing two vibrations at the same time, such as a motor, a vehicle incorporating a motor, or another physical object. Some implementations can estimate the respiration movement in the radar baseband output signal. The estimated respiration signal can then be subtracted from radar signals in the time domain and, optionally, can be further enhanced using digital signal processing techniques, to produce an estimate of the heartbeat pulses.

A method for checking the plausibility of an initially known transverse movement of an object. The method includes: emission of a radar signal having constant signal frequency, and reception by a radar device of reflections of the radar signal having constant signal frequency; and checking the plausibility of the transverse movement of the object by analyzing frequency ranges corresponding to the transverse movement in a spectrum of the reflected radar signal having constant signal frequency.

In accordance with an embodiment, a computer-implemented method includes obtaining a time sequence of measurement frames of a radar measurement of a scene comprising an object; based on multiple subsequent measurement frames of the time sequence of measurement frames, determining one or more one-dimensional (1-D) time series of respective observables of the radar measurement associated with the object; and based on the one or more 1-D time series, determining a motion class of a motion performed by the object using a classification algorithm

Systems and methods for calibrating a radar sensor based upon synthetic aperture radar (SAR) principles are described herein. A relative motion is induced between a radar sensor and a calibration target in the field-of-view of the radar sensor. The radar sensor receives returns from the calibration target. The radar sensor outputs, based upon the relative motion between the radar sensor and the calibration target, detections that are indicative of locations of points on the calibration target. A computing system generates calibration data based upon the detections, the calibration data comprising a correction factor between a position measured by the radar sensor and a corresponding true position of an object. The computing system programs the radar sensor based on the calibration data such that subsequent to being programmed, the radar sensor outputs detections based upon radar returns and the calibration data.

A system for tracking an object includes a first tracking device aimed so that a first field of view of the first tracking device covers at least a portion of a target volume into which an object is to be launched from a launch location and a processor receiving data from the tracking device and identifying from the data the velocity of the object over time, the processor identifying, based on changes in the velocity of the object over time, a first portion of a path of the object during which the object was in one of a bouncing state and a sliding state.

A method for determining at least one object information item of at least one target object (18) which is sensed with a radar system (12), in particular of a vehicle (10), a radar system (12) and a driver assistance system (20) are described. In the method, transmission signals (32a, 32b) are transmitted into a monitoring range (14) of the radar system (12) with at least one transmitter (26a, 26b). Echoes, which are reflected at the at least one target object (18), of the transmission signals (32a, 32b) are received as received signals (34a, 34b) with at least one receiver (30), and if necessary are converted into a form which can be used by an electronic control and/or evaluation device (28). The received signals (34a, 34b) are subjected to at least one multi-dimensional discrete Fourier transformation. At least one target signal is determined from the result of the at least one Fourier transformation. At least one object information item is determined from the at least one target signal. At the transmitter end, at least one first transmission signal (32a) and at least one second transmission signal (32b) are generated from a frequency-modulated continuous wave signal. The at least one second transmission signal (32b) is encoded by means of phase modulation with respect to the at least one first transmission signal (32a), with the result that an at least temporary signal orthogonality between the at least one first transmission signal (32a) and the at least one second transmission signal (32b) is obtained. The at least one first transmission signal (32a) is emitted with at least one first transmitter (26a), and the at least one second transmission signal (32b) is emitted with at least one second transmitter (26b), simultaneously into the monitoring range (14) of the radar system (12). The at least one second transmission signal (32b) is emitted with regular transmission pauses of a predefined length.

Apparatus and methods for contact-minimized automated teller machine (“ATM”) use and transaction processing using Doppler-radar based gesture recognition and authentication. The apparatus and methods may include an ATM including a millimeter-wave radar transmitter and receiver. Movement of one or more objects, including fingers, within a radar field may be analyzed and translated into gestures and authentication passcode(s). By utilizing the radar field instead of physical buttons or a touchscreen, contact with the ATM may be minimized.

A radar system, comprising: a receive antenna configured to receive a receive signal reflected from a bullet, the receive signal exhibiting a Doppler shift according to the motion of the bullet; and a detector implementing a set of matched filters each configured to determine a measure of correlation between the Doppler shift of the receive signal and one of a set of pre-stored Doppler shifts, wherein each of the pre-stored Doppler shifts respectively represents the Doppler shift of a bullet passing the antenna at a different speed or a distance of a point of closest approach.

A detection device includes: a transmitter that transmits a high-frequency signal as a transmission signal; a receiver that receives a reception signal including a reflection signal formed by reflecting the transmission signal at a target; and a controller that detects the target based on a frequency of the reflection signal, and changes a frequency of the transmission signal based on a frequency of the reception signal.