A method in a time switched multiple input and multiple output (MIMO) radar system comprising, receiving (610) from an antenna array a plurality of data points representing a radar signal reflected from plurality of objects, forming (620) a first set of beams from the plurality of data points, wherein the first set of beams are making a first set angles with a normal to the antenna array, detecting a set of objects (410A-L) from the first set of beams, determining (630) a set of Doppler frequencies of the set of objects, computing (650) a self-velocity representing a velocity of the antenna array from the set of Doppler frequencies and the first set of angles, and correcting (660) the plurality of data points using the self-velocity and a second set of angles to generate plurality of corrected data points.

A control algorithm for wireless sensor to estimate and calculate environmental parameters. The control algorithm comprises a method to calculate the distant between an approaching object to wireless sensor receive antenna by measuring the travelling time between completion of transmission of transmit signal at the transmit antenna and completion of reception of the reflected transmit signal at the receive antenna, a method of calculating the approaching speed of an object to wireless sensor receive antenna by using multiple distance measurements, and a method to calculate impact force from an approaching object based on estimated mass of the object and deceleration of its speed.

A vehicle, radar system for a vehicle, and method of determining a radial velocity of an object via the radar system. The radar system includes a transmitter, receiver and processor. The transmitter transmits a source signal towards an object, and the receiver for receives a reflection of the source signal from the object. The processor obtains a Doppler measurement related to a radial velocity of the object, wherein the Doppler measurement includes a Doppler ambiguity, obtains a range walk rate for the radial velocity of the object, and resolves the Doppler ambiguity of the Doppler measurement using the range walk rate to obtain the radial velocity of the object.

Disclosed is an ego motion estimation method and apparatus. The ego motion estimation apparatus may generate input data based on radar sensing data collected by one or more radar sensors for each of a plurality of time frames, and estimate ego motion information based on the input data using a motion recognition model.

An augmented reality device has a radar system that generates radar maps of locations of real world objects. An inertial measurement unit detects measurement values such as acceleration, gravitational force and inclination ranges. The values from the measurement unit drift over time. The radar maps are processed to determine fingerprints and the fingerprints are combined with the values from the measurement unit to store a pose estimate. Pose estimates at different times are compared to determine drift of the measurement unit. A measurement unit filter is adjusted to correct for the drift.

A system includes a transmitter of a radar system to transmit transmitted signals, and a receiver of the radar system to receive received signals based on reflection of one or more of the transmitted signals by one or more objects. The system also includes a processor to train a neural network with reference data obtained by simulating a higher resolution radar system than the radar system to obtain a trained neural network. The trained neural network enhances detection of the one or more objects based on obtaining and processing the received signals in a vehicle. One or more operations of the vehicle are controlled based on the detection of the one or more objects.

A method for generating an activation signal for a warning display of a user of smart glasses. First surroundings sensor signals from the rear and/or lateral surroundings of the user of the smart glasses are received using a processing unit. At least one object in the rear and/or lateral surroundings of the user of the smart glasses is detected as a function of the received first surroundings sensor signals. Second surroundings sensor signals are received as a function of the detected object. First and second motion signals of the user are received. A first movement trajectory of the detected object and a second movement trajectory of the smart glasses user are ascertained. A likelihood of a collision of the user of the smart glasses with the detected object is ascertained as a function of the ascertained first and second movement trajectories.

A multi-chip MIMO radar system includes a plurality of transmitters and a plurality of receivers. Each of the pluralities of transmitters and receivers are arranged across a plurality of chips. The multi-chip MIMO radar system includes a central processor configured to receive data from the plurality of chips. The central processor is operable to combine the information from each radar chip to produce improved range detection and angular resolvability of targets.

A method for estimating a velocity of a target using a host vehicle equipped with a radar system includes determining a plurality of radar detection points, determining a compensated range rate, and determining an estimation of a first component of a velocity profile equation of the target and an estimation of a second component of the velocity profile equation of the target by using an iterative methodology comprising at least one iteration. The estimations and of the first and second components and of the velocity profile equation are not determined from a further iteration if at least one statistical measure representing the deviation of an estimated dispersion of the estimations and of the first and second components, and of a current iteration from a previous iteration and/or the deviation of an estimated dispersion of the residual from a predefined dispersion of the range rate meets a threshold condition.

Systems, methods, and devices relating to radar and radar-based applications. A number of comparators are coupled in parallel with each comparator comparing an incoming signal and a predetermined value. If the predetermined value is exceeded by the incoming signal, the comparator output is set to trigger a flip flop. The predetermined value changes with each comparator and, with the signal being the radar reflection from a radar pulse, this allows for the detection of the peak value of the incoming signal. The circuit may be extended so that the output of the comparator which is triggered by the highest peak from the incoming signal is latched. Other variants include being able to count the clock cycles before the highest peak is detected within the range cell.