Abstract: In a displacement monitoring method based on elliptical trajectory calibration and modified principal component analysis, four channels are compressed into two set signals through linear combination to solve null point issue in Doppler radar and cancel clutter effect. The two sets linear combined signals make two tilted elliptical trajectories which can be calibrated for DC offset, amplitude imbalance and phase imbalance using simple computation. Due to the elliptical trajectories are mirror symmetric tilt ellipses, the residual clutter can be cancelled to recover a clear Doppler phase after demodulation and combination.

Abstract: A novel and useful system and method for extending the virtual array of an existing MIMO automotive radar. In one embodiment, the virtual array is extended by adding one or more additional TX or RX antennas to the existing radar thereby improving the resolution in either azimuth or elevation or both. The additional antennas are added via one or more extender printed circuit boards (PCBs) that are connected to the main radar PCB. The one or more extender PCBs include the additional TX or RX antenna arrays and are adapted to be a set fixed distance in orientation from the main PCB in accordance with the desired virtual array. The one or more extender PCBs and main PCB are mounted in housings that are rigidly mechanically connected to each other. The local oscillator (LO) signal generated on the main PCB is fed to the one or more extender PCBs via any suitable signal connection including RF, electrical, or waveguide connections.

Abstract: To maximize range of a homodyne radar, alternating radiation of continuous FMCW and quasi-continuous pulsed FMiCW fragments of a probing signal is used. A pulse modulator and power amplifier are connected to a transmission channel between an FM signal generator and an output to an antenna-feeder device. A homodyne filter is connected to each receiving channel between a mixer output and input of a homodyne signal amplifier. The homodyne filter suppresses the spectral components of the mixer signal that exceed the filter cutoff frequency set to be lower than the pulse modulation frequency but higher than the maximum frequency of the homodyne signal calculated for the maximum set distances and speeds of the reflecting targets.

Abstract: A radar system can improve performance by estimating a channel impulse response (CIR) in a way that accounts for noise arising from asymmetric interference. The system transmits a first channel-sounding sequence (CSS) that includes a first pulses and a second CSS that includes second pulses. The second pulses are complements of the first pulses. A first CIR corresponding to the first CSS and a second CIR corresponding to the second CSS are combined to produce an overall CIR that reduces or eliminates artefacts caused by asymmetric interference.

Abstract: An odometry solution for a device within a moving platform is provided using a deep neural network. Radar measurements may be obtained, such that static objects are detected based at least in part on the obtained radar measurements. Odometry information for the platform is estimated based at least in part on the detected static objects and the obtained radar measurements.

Abstract: A radar system that uses a range walk compensation algorithm to reduce system losses resulting from moving targets. During the coherent integration of pulse radar systems, the conventional Fast Fourier Transform (FFT) for Doppler processing needs to change the input range bin number in accordance to the velocity of the target. The algorithm allows for configuration of Doppler groups to compute several Dopplers with one FFT. Each Doppler group has a transform Doppler that is close to the center of the group which will dictate the change of range bins for the input data to the FFT. As the range bins are changed, there are two input filter techniques: nearest bin select, and 2-tap filter. After range walk compensation processes all Doppler groups by FFT, the resultant output block has much higher coherent integration as compared to just a conventional FFT.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations to classifying airfield debris. The operations include generating a series of frequency-modulated chirps having respective frequencies across a frequency range and directed toward a location of an object in an airfield. The operations can include receiving a series of reflections corresponding to a plurality of frequency-modulated chirps in the series of frequency-modulated chirps and generating a two-dimensional frequency-swept spectral signature representing properties of the plurality of received reflections across a frequency range. The operations can include providing the two-dimensional frequency-swept spectral signature as input to a machine learning classifier that is trained to predict characteristics of objects from frequency-swept spectral signatures and receiving an output representing a predicted classification of the object as airfield debris or not airfield debris.

Abstract: In described examples, a frequency modulated continuous wave (FMCW) radar system includes an FMCW signal generator, a number N transmitters, N phase shifters, multiple receivers, and a processor. The FMCW signal generator is configured to generate FMCW chirps. Different ones of the phase shifters have different respective base phase shifts selected in response to N. The transmitter is configured to transmit the phase shifted FMCW chirps. The receivers are configured to receive an FMCW chirp reflected by an object in range of the FMCW radar system. The processor is configured to determine a location of the object in range in response to the received FMCW chirp.

Abstract: The present disclosure generally relates to systems and methods for determining the available storage capacity of an enclosed space using radar-based digital terrain modeling. At a high-level, embodiments of the present disclosure may determine the available storage capacity of a certain space by using one or more radars to transmit one or more radio-frequency signals through the space and receive various reflections or echoes of those signals. These received echoes may be processed to determine—for a grid dividing the overall space into a series of right rectangular prisms stacked into columns—the highest (i.e., closest to the ceiling of the space) right rectangular prism (RRP) in each column that is at least partially occupied by a physical object. For each column, the highest RRP and any RRPs below it may be marked as occupied and any RRPs above the highest RRP may be marked as unoccupied.

Abstract: A waveguide receiver apparatus includes a power splitter circuit with an attenuation card; a mixer circuit coupled to an output of the power splitter circuit; and an antenna assembly coupled to an output of the mixer circuit. The aspects of the disclosed embodiments provide a highly compact and sensitive 500-600 GHz, 1×8 receiver array, with a conversion loss of less than approximately 11 decibels (dB), a noise temperature of less than 2000 degrees Kelvin (K) at 540 GHz, and a wide intermediate frequency (IF) bandwidth of approximately 70 Gigahertz (GHz).

Abstract: An antenna array controller is configured to measure a magnitude and phase of each of a set of antenna array elements, and compensate for leakage of other elements of the set of array elements. The leakage may be compensated for by one or more mechanisms including phase cancellation by row of antenna array elements, programmatic cancellation via a single offsetting antenna array element of the antenna array elements, and deembedding array leakage by subtracting the array leakage from the measured data.

Abstract: Systems and techniques for wireless communications are provided, including resource allocation for joint communications and RF sensing of objects. For example, a radar receiver (or component thereof) may determine a sensing measurement accuracy of the radar receiver based on one or more measurements associated with at least one target. The radar receiver (or component thereof) may transmit, based on the sensing measurement accuracy, a message to a network entity. The message may include an indication to modify an allocation of sensing resources associated with the radar receiver for communications data. The network entity (or component thereof) may receive the message from the radar receiver and may determine at least a portion of the sensing resources for the communications data. The radar receiver (or component thereof) may receive, from the network entity, resource allocation signaling for the communications data based on the indication to modify the allocation of sensing resources.

Abstract: A method can include receiving, from a non-destructive testing (NDT) scanner, a plurality of A-Scans of a length of a scanned region, generating a raw B-Scan of the scanned region using the plurality of A-Scans, receiving, from a position sensor coupled to the NDT scanner, a plurality of distance measurements of the NDT scanner along the length of the scanned region, matching each of the plurality of A-Scans with a distance measurement of the plurality of distance measurements to form a plurality of distance-assigned A-Scans, and normalizing the raw B-Scan, using the plurality of distance-assigned A-Scans, to form a normalized B-Scan, wherein each column of the normalized B-Scan represents the same distance along the length of the scanned region.

Abstract: Systems and methods for simultaneously recovering and separate sounds from multiple sources using Impulse Radio Ultra-Wideband (IR-UWB) signals are described. In one embodiment, a device can be configured for generating an audio signal based on audio source ranging using ultrawideband signals. In an embodiment the device includes, a transmitter circuitry, a receiver circuitry, memory and a processor. The processor configured to generate a radio signal. The radio signal including an ultra-wideband Gaussian pulse modulated on a radio-frequency carrier. The processor further configured to transmit the radio signal using the transmitter circuitry, receive one or more backscattered signals at the receiver circuitry, demodulate the one or more backscattered signals to generate one or more baseband signals, and generate a set of data frames based on the one or more baseband signals.

Abstract: The technologies described herein relate to a radar system that is configured to generate point clouds based upon radar tensors generated by the radar system. More specifically, the radar system is configured to identify bins in radar tensors that correspond to objects in an environment of the radar system, and to use energy values in other bins to construct a point cloud. A computing system detects objects in an environment of the radar system based upon the point clouds.

Abstract: A system for measuring and calibrating an antenna array having a plurality of antenna array elements each configured to individually radiate signals is described. The system includes an antenna array controller comprising a memory that stores instructions and a processor that executes the instructions. When executed by the processor, the instructions cause the system to: measure a magnitude and phase of each of a set of antenna array elements; and compensate for leakage of other antenna array elements of the set of antenna array elements.

Abstract: A waveform shaping unit (220) accumulates beat signals S9, which are beat signals S8 in frame units. A distance calculation unit (252) generates a histogram of range bins using the beat signals S9, and calculates a distance based on a range bin number corresponding to a peak in the histogram as a relative distance of a target object. A velocity calculation unit (253) generates a power spectrum of Doppler bins for each time period or for each range bin using the beat signals S9, generates a difference statistic graph that indicates a statistic of differences between power spectra, and calculates a velocity based on a Doppler bin number corresponding to a peak in the difference statistic graph as a relative velocity of the target object.

Abstract: A radar device including a transceiver unit and a signal processing unit. The transceiver unit detects a first measuring range including distances from the radar device in a first predefined distance range and outputs first sensor signals. The transceiver unit detects a second measuring range including distances from the radar device in a second predefined distance range and outputs second sensor signals. The signal processing unit evaluates the first and second sensor signals. The first distance range at least partially differs from the second distance range. The distances of the second distance range are greater than a predefined minimum distance.

Abstract: To obtain a speed expansion range. A speed detection apparatus includes: a transmission antenna array that transmits a plurality of chirp signals multiplexed between a plurality of transmission antennas arranged in a vertical direction; a reception antenna array that includes a plurality of reception antennas receiving the plurality of chirp signals that has been reflected; and a speed determination unit that calculates a plurality of speed candidates on the basis of the plurality of chirp signals received by the reception antenna array, determines whether or not a plurality of vertical arrival angle estimation values corresponding to the plurality of speed candidates falls within a vertical angle threshold range, and determines, as a true speed, one speed candidate from the plurality of speed candidates on the basis of a determination result.

Abstract: Systems and techniques are described for motion detection. In various examples, a radar sensor may transmit at least a first frame and a second frame over a first period of time. Difference data representing differences between at least a first signal corresponding to the first frame and a second signal corresponding to the second frame may be determined by the radar sensor. First data may be determined by a passive infrared (PIR) sensor over the first period of time. A first machine learning model may generate, using the difference data and the first data, second data indicating whether motion is detected during the first period of time.