Data memory protection is provided for a signal processing system such as a radar system in which the data memory is protected with a common set of parity bits rather than requiring a set of parity bits for each memory word as in Error Correction Coded (ECC) memories. The common set of parity bits may be updated as memory words in the data memory are accessed as part of signal processing of one or more digital signals. The memory protection ensures that in the absence of memory errors the common parity bits are zero at the end of processing the digital signals as long as each word in the data memory that is used for storing the signal processing data is written and read an equal number of times.

A MIMO radar system including a transmitter array, and a receiver array, the antenna distances in one of the transmitter and receiver arrays being above the Nyquist limit for unambiguous angle measurements, but the antenna distances in the combination of the transmitter and receiver arrays being below this Nyquist limit. The system also includes a control and evaluation unit.

A radar apparatus is mountable to a vehicle. The radar apparatus includes an observing unit, an estimating unit, a predicting unit, a matching processing unit, and a determining unit. The estimating unit calculates, regarding an initial detection target object, a plurality of velocity estimation values in which folding is presumed, using a velocity observation value calculated by the observing unit. The predicting unit calculates a prediction value from each of the plurality of velocity estimation values. The matching processing unit performs association of the velocity prediction value and the velocity observation value.

Training a machine learning neural network (MLNN) in radiowave based monitoring of fall characteristics in diagnosing injury. The method comprises receiving, in a first set of input layers of the MLNN, from a millimeter wave (mmWave) radar sensing device, a set of mmWave radar point cloud data representing fall attributes associated with a subject, each of the first set associated with a respective fall attribute; receiving, at a second set of input layers of the MLNN, a set of personal attributes of the subject, training a MLNN classifier based on supervised training that establishes a correlation between an injury condition of the subject as generated at the output layer, the mmWave point cloud data, and personal attributes; and adjusting an initial matrix of weights by backpropagation to increase correlation between the injury condition, the mmWave point cloud data, and the personal attributes.

A method for measuring a high-accuracy and real-time heart rate based on a continuous-wave radar is provided. The method includes receiving an in-phase (I) signal and a quadrature (Q) signal for a receive signal received through the continuous-wave radar, selecting any one signal by comparing magnitudes of the received I signal and the received Q signal, performing frequency transform of each of bases respectively having predetermined phases with respect to the any one selected signal, and determining a heart rate based on a magnitude response of each of the bases by the frequency transform.

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 system for providing contactless movement of a vehicle door relative to a vehicle body including an electric-motor movement device for moving the vehicle door, a radar sensor system for detecting, in the region of the vehicle door, a gesture to be performed by a user, and a control device for controlling the movement device according to a detection by the radar sensor system. The radar sensor system is configured to detect, in a first operating mode, a movement in a detection region in an environment of the vehicle door and to detect, in a second operating mode, a gesture for moving the vehicle door, the radar sensor system being configured to switch to the second operating mode when a movement is detected in the first operating mode.

In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.

An apparatus for detecting a target is disclosed. The apparatus of detecting a target includes: a frequency mixer configured to calculate a first beat frequency based on a transmitted signal and a received signal of first scanning and calculate a second beat frequency based on a transmitted signal and a received signal of second scanning performed with a predetermined time interval from the first scanning; a controller configured to extract a first moving component by comparing an up-chirp period frequency and a down-chirp period frequency of at least one of the first beat frequency or the second beat frequency; extract a second moving component by comparing up-chirp period frequencies or down-chirp period frequencies of the first beat frequency and the second beat frequency; and determine the moving target based on the first moving component and the second moving component.

An information generation device includes: a measurement unit configured to obtain a plurality of measurement results by performing a measurement of a vehicle size with respect to a same traveling vehicle a plurality of times; a detection unit configured to detect an accuracy of each of the plurality of measurement results; and a determination unit configured to determine a vehicle size of the traveling vehicle from the plurality of measurement results on the basis of the accuracies.