Cypress Semiconductor Corporation

Parade Technologies, Ltd.

Igor Kolych

Oleksandr Karpin

Igor Kravets

Kiran Uln

Andriy Maharyta

Oleksandr Hoshtanar

Hans Klein

Roman Ogirko

David Gordon Wright

Vasyl Mandziy

Hassane El-Khoury

Viktor Kremin

Volodymyr Bihday

Ihor Musijchuk

Massoud Badaye

Petro Ksondzyk

Claudio Rey

Victor Simileysky

Michael Kandler

Jan-Willem Van De Waerdt

Oleksandr Pirogov

Jens Weber

Ruslan Omelchuk

Milton Ribeiro

Volodymyr Hutnyk

Oleg Kapshii

A wireless device includes a receiver adapted with Bluetooth® low energy (BLE) capability and logic at least one of coupled to or integrated within the receiver. The logic determines frequency samples of bits of a predetermined pattern of a packet during a round-trip timing estimation of the packet, wherein the packet is received during a keyless access attempt of an enclosure having a transmitter and the receiver. The logic compares, to a reference frequency sample, the frequency samples of bits of the predetermined pattern. In response to determining a difference between the reference frequency sample and the frequency samples of bits of the predetermined pattern, the logic detects an intrusion associated with the predetermined pattern.

Attack detection in round-trip timing estimation

Techniques are disclosed to determine AoA of signals using co-located single-antenna radios such as BLE and Wi-Fi radios usually found in a wireless device. The co-located radios may have separate voltage controlled oscillators (VCO) that are not phase synchronized. The disclosed techniques use an internal path connecting the two radios through a RF switch under the control of a switch controller to allow the radios to synchronize or to compensate for their oscillator phase offset. The radios may use the RF switches of the internal path and RF switches between the radios and their antennas to sequence through an incident phase measurement stage to measure the phase difference of an incident signal received concurrently by the antennas and a radio synchronization stage to measure their oscillator phase offset to estimate the AoA of an incident signal. During the radio synchronization stage, the two radios are coupled through the internal path.

Co-located multi-radio or device AoA

Implementations disclosed describe devices for improving wireless localization and ranging operations. In an example embodiment, a circuit includes a receive chain configured to receive a first signal of a first frequency in a first frequency band. The circuit includes a transmit chain configured to transmit a second signal of a second frequency in a second frequency band. The circuit includes an active reflection circuit coupled between the receive and transmit chains. The active reflection circuit includes a frequency conversion scheme. The frequency conversion scheme is configured to receive an input signal from the RX chain at the first frequency, convert the input signal to an output signal at the second frequency, and provide the output signal to the TX chain.

Interference-resistant wireless localization and ranging

Implementations disclosed describe techniques and systems for efficient estimation of spatial characteristics of an outside environment of a wireless device. The disclosed techniques include generating multiple covariance matrices (CMs) representative of obtained sensing values. Different CMs may be associated with different frequency increments used in sensing signals to probe the outside environment. The disclosed techniques may further include determining eigenvectors for the CMs, and identifying, based on the determined eigenvectors, one or more spatial characteristics of the object in the outside environment.

Optimization of environmental sensing in wireless networks

Implementations disclosed describe techniques and systems for efficient determination and tracking of trajectories of objects in an environment of a wireless device. The disclosed techniques include, among other things, obtaining multiple sets of sensing values that characterize one or more radio signals received, during a respective sensing event, from an object in an environment of the wireless device. The sensing signals may be carried by waves with randomly selected frequencies representing a portion of all frequencies that are used as working sensing frequencies. Multiple techniques of efficient frequency interpolation and temporal interpolation are disclosed that reconstruct the sensing values to the full range of working frequencies. The reconstructed sensing values may then be used to track objects in the environment.

Tracking of objects using reconstruction of data carried by wireless sensing signals from limited sensing frequencies

Techniques are disclosed to leverage co-located radios such as BLE and Wi-Fi radios to increase the security of BLE ranging and localization. In one aspect, a transmitting BLE device may use a co-located Wi-Fi radio to transmit signals to interfere with an intruding device's interception of BLE RTT packets. The obfuscating Wi-Fi transmission may overlap a BLE RTT packet in the time domain with or without overlapping in the frequency domain. In one aspect, the co-located Wi-Fi radio may transmit pre-determined signature Wi-Fi signals concurrently with the BLE RTT packets to a receiver with co-located BLE and Wi-Fi radios. The receiver may detect a change in the pre-determined relationship between the two types of communication to reveal an intrusion attempt. In one aspect, a co-located Wi-Fi radio may capture parts of BLE RTT packets concurrently with a BLE radio transmitting or receiving BLE RTT packets to detect an intrusion attempt.

Additional security ranging for BLE using co-located Wi-Fi devices

Implementations disclosed describe techniques and systems for efficient determination and tracking of trajectories of objects in an environment of a wireless device. The disclosed techniques include, among other things, determining multiple sets of sensing values that characterize one or more radio signals received, during a respective sensing event, from an object in an environment of the wireless device. Multiple likelihood vectors may be obtained using the sensing values and characterizing a likelihood that the object is at a certain distance from the wireless device. A likelihood tensor may be generated, based on the likelihood vectors, that characterizes a likelihood that the object is moving along one of a set of trajectories. The likelihood tensor may be used to determine an estimate of the trajectory of the object.

Determination and tracking of trajectories of moving objects in wireless applications

A device includes a transmitter coupled to an antenna, a receiver coupled to the at least one antenna, and a processing device to: cause the transmitter to radiate a radio frequency (RF) signal; receive, via the receiver, a reflective RF signal based on the radiated RF signal; detect, within a data array of the reflective RF signal, a maximum peak among a plurality of signal peaks, the maximum peak being indicative of a first distance to a first object relative to the at least one antenna; and cancel, using cascading peak cancellation on the spectrum, the maximum peak while detecting a first next-highest peak of the plurality of signal peaks compared to the maximum peak, the first next-highest peak being indicative of a second distance to a second object.

Radio frequency sensing and localization of objects

Systems, methods, and devices detect radio frequency identification devices. Methods include transmitting a signal from a transmitter of a wireless device compatible with a wireless communications protocol, and receiving, using a receiver of the wireless device, a signal from a radio frequency identification (RFID) device, the signal comprising one or more resonance parameters. Methods also include generating sensing information and an estimated distance value based, at least in part, on the received signal, the sensing information representing a sensed condition at the RFID device, and the estimated distance value representing an estimate of a distance between the wireless device and the RFID device.

Systems, methods, and devices for wireless detection of radio frequency identification devices

A method can include determining a plurality of sample sets, each sample set being different from one another and including a plurality of frequencies separated by a uniform frequency range; wirelessly transmitting information identifying the sample sets for at least one remote device; for each sample set, transmitting a tone on each frequency of the sample set, receiving a tone on each frequency of the sample set from another device, and determining phase difference values for the received tones with respect to corresponding transmitted tones. From the phase shift values, a distance to the other device can be estimated. Corresponding devices and systems are also disclosed.

Methods, devices and systems for estimating distance with transmitted frequency sets

Systems, methods, and devices detect radio frequency identification devices. Methods include transmitting a signal from a transmitter of a wireless device compatible with a wireless communications protocol, receiving, using a receiver of the wireless device, an encoded signal from a radio frequency identification (RFID) device, and determining a plurality of data values based, at least in part, on the received encoded signal. Methods further include generating an estimated distance value based, at least in part, on the received encoded signal, the estimated distance value representing an estimate of a distance between the wireless device and the RFID device.

Systems, methods, and devices for wireless communication device-based detection of radio frequency identification devices

A capacitance sensing device includes a transmit (TX) generator for generating a sequence of receive (RX) signals by applying each TX signal pattern in a sequence of TX signal patterns to a set of sensor electrodes. For each TX signal pattern in the sequence of TX signal patterns, and for each subset of three or more contiguous sensor electrodes of the set of sensor electrodes, the TX generator applies to the subset one of a first excitation signal and a second excitation signal. The plurality of subsets includes at least half of the sensor electrodes in the set of sensor electrodes. The capacitance sensing device also includes a sequencer circuit coupled with the TX generator. For each TX signal pattern in the sequence of TX signal patterns, the sequencer circuit determines a next subsequent TX signal pattern in the sequence based on a circular rotation of the TX signal pattern. The capacitance sensing device also includes a processing block coupled with the TX generator. The processing block detects a presence of an object proximate to the set of sensor electrodes based on a measure of correlation between the sequence of RX signals and a predetermined function.

Hover sensing with multi-phase self-capacitance method

Techniques are described for using one or more wireless host devices to perform tire localization of TPMS sensor data by determining received signal strength indicator (RSSI) signatures that are unique to the wireless communication channel between a host device and each TPMS sensor. RSSI signatures represents a periodic variation of the wireless communication channel between a host device on the car body and a TPMS sensor in a rotating tire. Characteristics of the communication channel is a function of the wheel angle and is periodic with wheel rotations. The RSSI signatures may be created by matching RSSI measurements of packets received by the host device from a TPMS sensor with wheel angles derived from wheel speed sensor (WSS) data of the anti-lock braking system (ABS). The RSSI signatures are a unique marker of each wheel that may be used to identify the locations of the TPMS sensors for tire localization.

Received signal strength indicator (RSSI) signature for tire localization

A fingerprint sensor-compatible overlay material which uses anisotropic conductive material to enable accurate imaging of a fingerprint through an overlay is disclosed. The anisotropic conductive material has increased conductivity in a direction orthogonal to the fingerprint sensor, increasing the capacitive coupling of the fingerprint to the sensor surface, allowing the fingerprint sensor to accurately image the fingerprint through the overlay. Methods for forming a fingerprint sensor-compatible overlay are also disclosed.

Sensor-compatible overlay

An example method of determining the position value reflecting an action applied to the capacitive sensor device comprises: receive a set of capacitance values of a plurality of capacitive cells of a capacitive sensor device; determining a local maximum of the set of capacitance values; identifying a set of neural network parameters corresponding to the local maximum of the set of capacitance values; and processing the set of capacitance values by a neural network using the identified set of neural network parameters to determine a position value reflecting an action applied to the capacitive sensor device.

Growing community of inventors

Lviv, Ukraine

Igor Kolych