The concepts, systems and methods described herein are directed towards frequency jump burst-pulse-Doppler (FJB-PD) waveforms and processing to provide wideband, high range resolution (HRR) radar profiling capability in a clutter dense environment. The method includes transmitting a FJB-PD waveform comprising a plurality of frequency steps over a predetermined time period with each frequency step having a plurality of pulses. The method further includes receiving one or more FJB-PD pulse returns corresponding to the FJB-PD waveform and identifying one or more target detections in the one or more FJB-PD pulse returns. A set of range swaths may be extracted for each of the one or more target detections and a wideband spectrum may be generated for each of the sets of range swaths using FJB coherent integration. A clutter suppressed HRR profile may be generated for each of the target detections based on the respective wideband spectrum.

Embodiments of this application provide a radar system, and a signal processing method and apparatus. The radar system includes: a transmitting assembly, a receiving assembly, and a controller. The transmitting assembly is configured to generate and transmit N first signals, where characteristics of the N first signals are different, the characteristic includes a wavelength and/or a delay, and N is an integer greater than 1; the receiving assembly is configured to receive a second signal; and the controller is configured to determine, based on the characteristics of the N first signals, whether the second signal includes an echo signal corresponding to the first signal.

A method for first path acceptance for secure ranging includes determining a Channel Impulse Response (CIR) of a communication channel for a plurality of channel taps. Each channel tap corresponds to a respective one of a plurality of time slots of the CIR, wherein the CIR includes a plurality of estimated CIR values. A statistical characteristic is extracted from the estimated CIR values within a temporal range of the channel taps. The statistical characteristic is compared to a reference value to detect a distance decreasing attack.

A method for radar full blockage detection includes transmitting, via a transceiver, radar signals for object detection. The method also includes determining whether an object is detected within a first threshold distance based on reflections of the radar signals that are received. In response to a determination that the object is detected within the first threshold distance, the method includes determining whether the object is detected beyond a second threshold distance, based on the reflections of the radar signals. The second threshold distance is further away from the electronic device than the first threshold distance. In response to determining that the object is within the first threshold distance and not detected beyond the second threshold distance, the method includes determining that the transceiver is fully blocked by the object. upon a determination that the transceiver is fully blocked, the method includes modifying a wireless communication operation associated with the transceiver.

A method includes transmitting, via a transceiver, radar signals for object detection. The method includes determining whether a moving object is detected using received reflections of the radar signals corresponding to a current radar frame. In response to a determination that no moving object is detected using the current radar frame, the method includes determining whether a moving object is detected using received reflections of the radar signals corresponding to multiple radar frames. The method also includes generating a detection result indicating that (i) no moving object is detected using the multiple radar frames or (ii) the moving object is detected using either the current radar frame or the multiple radar frames.

An electronic device includes a processor operably connected to a radar transceiver. The processor is configured to transmit, via the radar transceiver, radar signals to detect an object. The processor is also configured to detect the object using a single radar frame or multiple radar frames from the radar signals. The processor is further configured to determine whether to use the single radar frame or the multiple radar frames based on motion of the object for angle identification between the object and the electronic device. Additionally, the processor is configured to identify the angle using the single radar frame based on a determination to use the single radar frame or the multiple radar frames based on a determination to use the multiple radar frames. The processor is also configured to modify radio frequency exposure levels based on the angle of the object relative to the electronic device.

Disclosed are a method and a device for measuring a biometric signal by using a radar. The disclosed method measures a plurality of biometric signals by using a radar by: (a) receiving the plurality of biometric signals from the radar; (b) calculating distance information of the received plurality of biometric signals and classifying the same on the basis of a distance; (c) selecting a signal having a largest variance according to a time; (d) further selecting a number of signals among signals having a distance with the signal selected in the step (c) smaller than an arbitrary distance from the distance-based classified signals; (e) converting all signals selected from a time domain to a frequency domain; (f) calculating a reliability of each biometric signal from the converted distance-based signals; and (g) detecting a corresponding biometric signal by selecting the distance-based signal where the calculated reliability is highest.

The present invention relates to a method of effectively removing various vibration noises using microwave Doppler radar, and an apparatus therefor. The method comprises the steps of: (a) generating and transmitting an oscillation frequency to a dynamic target, and receiving a signal reflected from the dynamic target and various signals generated around the dynamic target; (b) generating a Doppler IF signal from each of n received signals; (c) converting each Doppler IF signal into digital data; (d) configuring digital signals into a data set, and converting the data set into a frequency component symbol set; (e) calculating a value by adding index symbols and dividing by n reception antennas; and (f) classifying deviation between spectrum components of a commonly-generated periodic signal and an uncommon aperiodic signal, and obtaining only a periodic signal through filtering. The present invention can improve accuracy of sensing a biometric signal.

Upon each new detection, called pivot detection, by a radar system, the method includes the steps consisting of: grouping together, with the pivot detection, grouped detections, defined as detections that belong to a sweep preceding the sweep of the pivot detection and that have a non-nil probability according to a grouping criterion; filtering the grouped detections so as to keep only detections that are kinematically strictly coherent with the pivot detection, by: initializing a histogram, each dimension of which is a temporal variation of a coordinate measured by the radar system; computing a potential value interval for each coordinate of the pivot detection and each grouped detection; computing a minimum temporal variation and a maximum temporal variation for the or each coordinate from potential value intervals of the pivot detection and each grouped detection; incrementing the set of classes of the histogram whose index along each dimension is located between the computed minimum and maximum temporal variations; and detecting a target once at least one class of the histogram reaches a predefined value.

Camera data and radar echoes are received from the surroundings. At least one radar echo is assigned to a delimiting frame of an object detected on the basis of a camera, the delimiting frame being generated using the camera data by comparing corresponding azimuth angles and specified distances of the radar echo and the object detected on the basis of a camera. In the event of a successful assignment, a distance which is assumed on the basis of a camera is corrected according to the distance of the respective detected object in the surroundings, said distance being determined in a radar-based manner. The respective delimiting frame together with the corrected distance is then output as an object data set which indicates a successful object detection.