Cypress Semiconductor Corporation

Broadcom Corporation

Intel Corporation

Jie Lai

Kamesh Medapalli

Nelson Ray Sollenberger

Arie Heiman

Yossy Pruzanski

Yueheng Sun

Huaiyu (Hanks) Zeng

Yan Li

Hongwei Kong

Ashutosh Pandey

James Wihardja

Kaiping Li

Wenyu Liu

Thaiyalan Appadurai

Nhan Tran

Durai Thirupathi

Mark Hahm

Kai Xie

Raafat Edward Kamel

Kiran Uln

Wen-Yi Kuo

Huaiyu Zeng

Victor Simileysky

Pouria Zand

A system and method for an efficient secure phase-based ranging using loopback calibration, including receiving, by a reflector during a current timeslot, an incoming constant tone (CT) signal having a phase shift; determining, by the reflector during the current timeslot or a previous timeslot, a phase shift correction value by using a receiver/transmitter (Rx/Tx) loopback path of the reflector; and/or generating, by the reflector, an outgoing CT signal having an updated phase shift by adjusting the phase shift of the incoming CT signal based on the phase shift correction value.

Efficient secure phase-based ranging using loopback calibration

Systems, methods, and apparatus use a processor of a first device to wirelessly communicate with a second device using a first antenna. The processor selects the first antenna from a plurality of antennas based on comparing first antenna data associated with the first antenna with second antenna data associated with a second antenna.

Systems, methods, and devices for implementing antenna diversity with wireless communications devices

Example apparatus, systems and methods use a receiver of a first device to receive from a second device, radio frequency (RF) signals. Embodiments use a processor of the first device to determine, based on the RF signals, a set of angle-estimation values of an angle between a plurality of antenna elements of one of the first device and the second device and an antenna element of the other of the first device and the second device, and a set of confidence measurements. Each of the set of confidence measurements indicates a confidence of an angle-estimation value of the set of angle-estimation values.

Estimating angle measurements for source tracking using a phased array system

Systems, methods, and devices enable the implementation of antenna diversity techniques. Devices include a first wireless communications device that includes a plurality of antennas, and a transceiver coupled to the plurality of antennas and configured to send and receive data in accordance with a wireless transmission protocol, while the peer wireless communication device may have a single antenna or multiple antennas. Devices also include a processor configured to, in a first mode, calculate an angle of arrival (AoA) with the plurality of antennas or an angle of departure (AoD) associated with single antenna, and, in a second mode, send data to and receive data from a second wireless communications device via at least a first antenna of the plurality of antennas, where the first antenna is selected by the processor based on one of a first plurality of signal measurements between the first and second wireless communications devices.

A method includes using a receiver of a first device, receiving from a second device, radio frequency (RF) signals. The method also includes using a processor of the first device, determining and storing, based on the RF signals, a set of angle-estimation values of an angle between a plurality of antenna elements of one of the first device and the second device and an antenna element of the other of the first device and the second device, a set of confidence measurements, and at least one of an Area-of Arrival (ARoA) value and an Area-of Departure (ARoD) value. Each of the set of confidence measurements indicates a confidence of an angle-estimation value of the set of angle-estimation values.

Calibrating a Gaussian frequency-shift keying modulation index includes generating a training sequence of bits, shaping a pulse from the training sequence according to an initial modulation index, and converting the shaped signal to a transmission signal. The transmission signal is then either looped through a radio frequency core or processed by frequency deviation estimation hardware to determine a frequency deviation. The frequency deviation is converted to a new modulation index, and potentially a ratio between a target modulation index and a measured modulation index as a scaling factor. The process is then iteratively repeated until a threshold frequency deviation is achieved.

Stable modulation index calibration and dynamic control

A communication system and method are disclosed for parallel processing of received signals to improve sensitivity of the system. Generally, the method includes demodulating a modulated signal in a first demodulator circuit and a second demodulator circuit in parallel. The first and second demodulated signals are then de-whitened, and a cyclic redundancy code (CRC) check performed on each. If the de-whitened first demodulated signal passes the CRC check a first packet included in the signal is sent to a central processing unit (CPU) for further processing. If the de-whitened second demodulated signal passes the CRC check, and the de-whitened first demodulated signal fails, a second packet included in the de-whitened second demodulated signal is transmitted to the CPU for further processing. In one embodiment, one of demodulator circuits is a GFSK demodulator operated in the phase domain and configured to use maximum likelihood sequence estimation. Other embodiments are also described.

Parallel processing of dirty packets in Bluetooth and Bluetooth low energy systems

Source tracking for phased array systems is described herein. One processing device includes a transceiver to transmit or receive radio frequency (RF) signals via a plurality of antenna elements and a processor coupled to the transceiver. The processor executes a multi-angle source-tracking tool configured to determine and store a set of angle estimation values of an angle between the plurality of antenna elements and the second antenna, a set of confidence measurements, and at least one of an Area-of-Arrival (ARoA) value or an Area-of-Departure (ARoD) value based on the RF signals. Each of the set of confidence measurements indicates a confidence of an angle estimation value of the set of angle estimation values.

Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process are provided. A wireless receiver may decode bit sequences based on a first decoding algorithm that may utilize redundancy in the data and that may impose physical constraints. The receiver may also decode a received bit sequence based on a second decoding algorithm that utilizes SAIC. Received data may be processed in a burst process portion in either decoding algorithm. Burst processed data from one of the decoding algorithms may be selected based on signal-to-noise ratio and/or received signal level measurements. The selected burst processed data may be communicated to a frame processing portion of the corresponding decoding algorithm.

Method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using burst process

A baseband processing module for use within a Radio Frequency (RF) transceiver includes a downlink/uplink interface, TX processing components, a processor, memory, RX processing components, and a turbo decoding module. The RX processing components receive a baseband RX signal from the RF front end, produce a set of IR samples from the baseband RX signal, and transfer the set of IR samples to the memory. The turbo decoding module receives at least one set of IR samples from the memory, forms a turbo code word from the at least one set of IR samples, turbo decodes the turbo code word to produce inbound data, and outputs the inbound data to the downlink/uplink interface. The turbo decoding module performs metric normalization based upon a chosen metric performs error detection operations, and extracts information from a MAC packet that it produces.

Turbo decoding module supporting state n metric value normalization operations

Aspects of a method and system for decoding single antenna interference cancellation (SAIC) and redundancy processing adaptation using frame process are provided. A receiver may decode video, voice, and/or speech bit sequences based on a first decoding algorithm that may utilize data redundancy and that may impose physical constraints. The receiver may also decode a bit sequence based on a second decoding algorithm that utilizes SAIC. The first and second decoding algorithms may be adapted to perform in parallel and a decoded received bit sequence may be selected based on a redundancy verification parameter. The first and second decoding algorithms may also be adapted to be performed sequentially where the subsequent decoding operation may be conditioned to the initial decoding operation. Moreover, either the first or the second decoding algorithm may be selected for decoding the received bit sequence. The selection may be based on noise and/or interference measurements.

Growing community of inventors

Belle Mead, NJ, United States of America

Jie Lai