Analog Devices,inc.

Amazon Technologies, Inc.

Analog Devices International Unlimited Company

Tao Yu

Nicolas Le Dortz

Sefa Demirtas

Christopher Mayer

Tze Lei Poo

Eugene Oh Hwang

Charles Mathy

Atulya Yellepeddi

Rui Zhang

Wenjie Lu

Cristobal Alessandri

Gregory Patrick Davis

Michael W Judy

Lance Robert Doherty

Milutin Pajovic

Harvey Weinberg

Luis Antonio Diniz Fernandes De Morais Sarmento

Alexander Michael Spinelli

Lisa Jane Hinegardner

Bin Huo

Phillip Nadeau

Nevena Rakuljic

Libo Meng

Philip P E Quinlan

Omer Tanovic

Jonathan Ari Goldberg

Tairan Sun

Xiao Yu Wang

Haris Husain

James Noraky

Dhruvesh Gajaria

Frank Yaul

Shyam Chandrasekhar Nambiar

Yuansheng Dai

Remote keyless entry (RKE) systems and devices are described. The RKE devices include one or more passive radios that respond to an interrogation signal from an interrogating device such as a vehicle. The passive radio sends a responsive signal that can include a decaying portion representing a ringdown signal. The passive radio includes a SAW resonator in some situations.

Methods for using a surface acoustic wave resonator for automobile security

Systems and methods for determining an angle of the light transmitted by an illumination source of a scanning LIDAR system are disclosed. An example LIDAR system includes a pattern, provided in an optical path of the light transmitted by the illumination source as the light is transmitted out of the system, and configured to reflect at least a portion of the transmitted light to be incident on at least one of one or more optical sensors of the LIDAR system. The LIDAR system further includes, or is associated with, a controller, configured to determine an angle of the transmitted light based on a light detected by at least one of the optical sensors, where at least a portion of the light detected by the optical sensor(s) includes at least a portion of the light transmitted by the illumination source and reflected by the pattern.

Angle of rotation determination in scanning LIDAR systems

Apparatus and methods for pre-distorting a radio frequency transmit signal based on local oscillator clock shaping are disclosed. In certain embodiments, one or more clock signals generated by a local oscillator and used for mixing in a transceiver are shaped to account for non-linearity of a power amplifier that amplifies the radio frequency transmit signal. Such pre-distortion can be performed in addition to or alternatively to performing digital pre-distortion on a digital representation of the radio frequency transmit signal.

Local oscillator clock shaping for pre-distortion

Non-idealities of input circuitry of a receiver signal chain can significantly degrade the overall performance of the receiver signal chain. A digital nonlinearity correction (NLC) can be implemented in a receiver signal chain having an ADC. Digital NLC can be designed as a drop in signal preconditioner for existing RF ADC wideband receiver signal chains. A unique equalizer can compensate for a variety of mixer spurs. Accordingly, digital NLC can correct nonlinearities due to mixers and any amplifiers preceding or following the ADC, potentially improving receive chains performance by 15-25 dB. Such a digital NLC solution can be particularly beneficial in defense and instrumentation applications which demand the greatest performance.

Digital correction techniques for wideband receiver signal chain nonlinearities

Systems, devices, and methods related to envelope regulated, digital predistortion (DPD) are provided. An example apparatus includes an envelope regulator circuit to process, based on a parameterized model, an input signal to generate an envelope regulated signal; a digital predistortion (DPD) actuator circuit to process the envelope regulated signal and the input signal based on DPD coefficients associated with a nonlinearity characteristic of a nonlinear component; and a DPD adaptation circuit to update the DPD coefficients based on a feedback signal indicative of an output of the nonlinear component.

Digital predistortion with neural-network-assisted physical modeling of envelope features

Systems, devices, and methods related to hybrid basis function, neural network-based digital predistortion (DPD) are provided. An example apparatus for a radio frequency (RF) transceiver includes a digital predistortion (DPD) actuator to receive an input signal associated with a nonlinear component of the RF transceiver and output a predistorted signal. The DPD actuator includes a basis-function-based actuator to perform a first DPD operation using a set of basis functions associated with a first nonlinear characteristic of the nonlinear component. The DPD actuator further includes a neural network-based actuator to perform a second DPD operation using a first neural network associated with a second nonlinear characteristic of the nonlinear component. The predistorted signal is based on a first output signal of the basis-function-based actuator and a second output signal of the neural network-based actuator.

Digital predistortion with hybrid basis-function-based actuator and neural network

Systems, devices, and methods related to using model architecture search for hardware configuration are provided. A method includes receiving, by a computer-implemented system, information associated with a pool of processing units; receiving, by the computer-implemented system, a data set associated with a data transformation operation; training, based on the data set and the information associated with the pool of processing units, a parameterized model associated with the data transformation operation, where the training includes updating at least one parameter of the parameterized model associated with configuring at least a subset of the processing units in the pool; and outputting, based on the training, one or more configurations for at least the subset of the processing units in the pool.

Model architecture search and optimization for hardware

Described herein are techniques for improving the signal-to-noise ratio of a wireless sensor platform. The device that interrogates a wireless sensor node (an interrogator) may be configured to determine the quantity to be measured by extracting information from multiple echoes produced in response to multiple interrogation pulses or produced due to multi-path propagation. Although different echoes may have been transformed to different extents, the echoes may share unique characteristics that are specific to the wireless sensor node that produced them. Accordingly, the SNR may be improved by keeping only portions of the received signal that exhibit such characteristics. The SNR may be further improved by summing the echoes together. In some embodiments, the echoes may be summed together in a coherent fashion, thereby producing an echo having an amplitude greater than the amplitude of each of the received echoes.

Coherent summation in wireless sensor platforms

A passive wireless sensor may be wirelessly coupled with an interrogator. The sensor uses multiple antennas to receive an interrogation signal from the interrogator and compares a path length difference between the signal received at each antenna. The path length difference changes based on the relative position of the sensor and interrogator. Using the path length difference, the sensor transmits a response signal to the interrogator. The interrogator analyzes the response signal to determine sensor position. The interrogator compares the determined sensor position to a previous known sensor position to determine if an attack has occurred, such as a replay, counterfeit, or tampering attack. The sensor may include cryptographic circuitry that scrambles the response signal, thwarting an attack such as a sniffing attack. The interrogator may include multiple antennas and determine a position of the sensor by calculating an angle-of-arrival that enhances a signal from the sensor, via beamforming.

Secure passive wireless sensor and related methods

Embodiments of the present disclosure describe mechanisms for radio frequency (RF) ranging between pairs of radio units based on radio signals exchanged between units. An exemplary radio system may include a first radio unit, configured to transmit a first radio signal, and a second radio unit configured to receive the first radio signal, adjust a reference clock signal of the second radio unit based on the first radio signal, and transmit a second radio signal generated based on the adjusted reference clock signal. Such a radio system may further include a processing unit for determining a distance between the first and second radio units based on a phase difference between the first radio signal as transmitted by the first radio unit and the second radio signal as received at the first radio unit. Disclosed mechanisms may enable accurate RF ranging using low-cost, low-power radio units.

Radio frequency ranging using phase difference

Systems and methods permit automatic joining of a network associated with a specified area within which wireless nodes reside. Network managers located in or near the specified area use wireless proximity detection to estimate distances to wireless nodes requesting to join the network. The network managers can use the estimated distances to determine whether or not a requesting wireless node is located within the specified area. If the requesting wireless node is located within the specified area, the network managers can permit the wireless node to join the wireless network associated with the respective specified area.

Wireless node location identification

Aspects of the embodiments are directed to passive depth determination. Initially, a high power depth map of a scene can be created. An object in the scene can be identified, such as a rigid body or other object or portion of an object. A series of lower power or RGB images can be captured. The object can be located in one or more of the lower power or RGB images. A change in the position of an object, represented by a set of pixels, can be determined. From the change in position of the object, a new depth of the object can be extrapolated. The extrapolated depth of the object can be used to update the high power depth map.

Reducing power consumption for time-of-flight depth imaging

Aspects of the embodiments are directed to methods and imaging systems. The imaging systems can be configured to sense, by an light sensor of the imaging system, light received during a time period, process the light received by the light sensor, identify an available measurement period for the imaging system within the time period based on the processed light, and transmit and receive light during a corresponding measurement period in one or more subsequent time periods.

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Cambridge, MA, United States of America

Tao Yu