Texas Instruments Corporation

Adeel Ahmad

Dan Wang

Sandeep Rao

Muhammad Zubair Ikram

Karthik Subburaj

Murtaza Ali

June Chul Roh

A device includes one or more processors configured to receive radar data, and generate a plurality of occupancy grid maps based on the radar data. Each of the occupancy grid maps corresponds to a respective one of a plurality of candidate angles. The one or more processors is also configured to select one of the candidate angles as a sensor mount angle based on the occupancy grid maps, and trigger an action based on the sensor mount angle and the radar data.

Radar mount-angle calibration

A radar system includes a set of transmitters and a processor coupled to the set of transmitters, which includes first, second, third and fourth transmitters. In operation, the processor generates a first chirp of a set of chirps, in which outputs of the first and second transmitters are modulated by a first phase and outputs of the third and fourth transmitters are modulated by a second phase; and generate a second chirp of the set of chirps, in which outputs of the first and fourth transmitters are modulated by the first phase and outputs of the second and third transmitters are modulated by the second phase.

Simultaneous beamforming and multiple input-multiple output (MIMO) schemes in radar system

In accordance with described examples, a method determines if a velocity of an object detected by a radar is greater than a maximum velocity by receiving on a plurality of receivers at least one frame of chirps transmitted by at least two transmitters and reflected off of the object. A velocity induced phase shift (φ) in a virtual array vector S of signals received by each receiver corresponding to a sequence of chirps (frame) transmitted by each transmitter is estimated. Phases of each element of virtual array vector S are corrected using φto generate a corrected virtual array vector S. A first Fourier transform is performed on the corrected virtual array vector Sto generate a corrected virtual array spectrum to detect a signature that indicates that the object has an absolute velocity greater than a maximum velocity.

Methods and apparatus for velocity detection in MIMO radar including velocity ambiguity resolution

An apparatus, including processing unit (PU) cores and computer readable storage devices storing machine instructions for determining a distance between a target object and a radar sensor circuit. The PU cores receive a beat signal generated by the radar sensor circuit and compensate for a phase difference between the received beat signal and a reconstruction of the received beat signal to obtain a phase compensated beat signal. The phase compensated beat signal is then filtered to remove spurious reflections by demodulating the phase compensated beat signal using an estimated frequency of the phase compensated beat signal. The PU cores then apply a low pass filter to the demodulated phase compensated beat signal, resulting in a modified beat signal. The PU cores then determine the distance between the target object and the radar sensor circuit using the modified beat signal.

Distance measurement using millimeter wave radar

A radar system comprises a set of transmitters and a processor coupled to the set of transmitters. The processor is configured to modulate a first portion of a chirp in a chirp frame according to a first phase. The processor is further configured to modulate a second portion of the chirp in the chirp frame according to a second phase and configured to combine the first and second portions of the chirp to produce a phase-modified chirp. The processor is further configured to instruct the set of transmitters to transmit the phase-modified chirp by applying time division multiple access (TDMA) and by directing radio frequency energy according to a target angle and a target gain.

A mm-wave system includes transmission of a millimeter wave (mm-wave) signal by a plurality of transmitters to multiple objects, and receiving of return—mm-wave signals from the multiple objects by a plurality of receivers. A processor is configured to perform an algorithm to derive complex-valued samples and angle measurements from each receiver to identify one object from another object. The processor further extracts signal waveforms that correspond to each object and process the extracted signal waveforms to estimate breathing rate and heart rate of the identified object.

Multi-person vital signs monitoring using millimeter wave (mm-wave) signals

A mm-wave system includes transmission of a millimeter wave (mm-wave) signal by a plurality of transmitters to multiple objects, and receiving of return-mm-wave signals from the multiple objects by a plurality of receivers. A processor is configured to perform an algorithm to derive complex-valued samples and angle measurements from each receiver to identify one object from another object. The processor further extracts signal waveforms that correspond to each object and process the extracted signal waveforms to estimate breathing rate and heart rate of the identified object.

In accordance with described examples, a method determines if a velocity of an object detected by a radar is greater than a maximum velocity by receiving on a plurality of receivers at least one frame of chirps transmitted by at least two transmitters and reflected off of the object. A velocity induced phase shift (&#x3c6;) in a virtual array vector S of signals received by each receiver corresponding to a sequence of chirps (frame) transmitted by each transmitter is estimated. Phases of each element of virtual array vector S are corrected using &#x3c6;to generate a corrected virtual array vector S. A first Fourier transform is performed on the corrected virtual array vector Sto generate a corrected virtual array spectrum to detect a signature that indicates that the object has an absolute velocity greater than a maximum velocity.

An FMCW radar is used to detect live objects by processing the matched, filtered radar return on a frame by frame basis. An FFT cross correlation coefficient is computed, followed by computing a modified geometric mean of the absolute value of the cross correlation coefficients. The modified geometric mean is then compared to a preset threshold to determine whether the object is moving or is stationary.

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Richardson, TX, United States of America

Adeel Ahmad