H04L25/0212

BASEBAND SYSTEM FOR A WIRELESS RECEIVER AND BASEBAND SIGNAL PROCESSING METHOD THEREOF

A baseband system includes: an estimation and compensation circuit estimating frequency-independent non-ideal effects based on an original IQ signal pair, and compensating the original IQ signal pair based on a result of the estimation to obtain a compensated IQ signal pair; a channel estimation and equalization circuit performing channel estimation and equalization based on the compensated IQ signal pair to obtain an equalized IQ signal pair; and a tracking and compensation circuit obtaining a result of tracking of residual quantities of the aforesaid non-ideal effects based on the equalized IQ signal pair, and compensating the equalized IQ signal pair based on the result of the tracking to obtain an output IQ signal pair.

METHOD AND APPARATUS FOR CHANNEL ESTIMATION FOR OFDM BASED SINGLE CARRIER SYSTEM
20210126688 · 2021-04-29 ·

The disclosure relates to a communication technique that converges a 5G communication system to support a higher data rate after a 4.sup.th Generation (4G) system with Internet of Things (IoT) technology, and a system thereof. The disclosure can be applied to intelligent services (e.g., smart home, smart building, smart city, smart car or connected car, healthcare, digital education, retail, security and safety related services, or the like) based on 5.sup.th Generation (5G) communication technology and IoT related technology. In addition, the disclosure provides a method and an apparatus for reducing user equipment (UE) power consumption in a wireless communication system.

BASE STATION WIRELESS CHANNEL SOUNDING

An example method may include a processing system of a base station having a processor selecting a blank resource of a time and frequency resource grid of the base station for a transmission of a channel sounding waveform and transmitting the channel sounding waveform via the blank resource. Another example method may include a processing system of a channel sounding receiver receiving at a location, from a base station, a channel sounding waveform via a blank resource of a time and frequency resource grid of the base station, and measuring a channel property at the location based upon the channel sounding waveform.

Using MIMO training fields for motion detection
11012122 · 2021-05-18 · ·

In a general aspect, various fields of a PHY frame are used for motion detection. In some aspects, a first training field and a second, different training field are identified in a PHY frame of each wireless signal transmitted between wireless communication devices in a wireless communication network. A first time-domain channel estimate and a second time-domain channel estimate are generated for each wireless signal. The first time-domain channel estimate is based on a first frequency-domain signal included in the first training field, while the second time-domain channel estimate is based on a second frequency-domain signal included in the second training field. A determination is made whether motion has occurred in a space during the time period based on the first time-domain channel estimates, and a location of the motion within the space is determined based on the second time-domain channel estimates.

Wireless communications device and method for performing an angle measurement

A method and device using a single transmitter (TX) and/or a single receiver (RX) is provided for determining an angle measurement between the transmitter and receiver for an ultra-wideband (UWB) system. A plurality of RX antennas is coupled to the receiver and a plurality of TX antennas is coupled to the transmitter. An IEEE 802.15.4z standard provides a silent period or gap before and after scrambled timestamp sequences (STS) in a frame. An active antenna is switched to a different antenna in the gaps. This allows the angle measurements to be performed with only a single transmitter and receiver within one channel impulse response (CIR) measurement cycle.

Wireless devices and systems including examples of full duplex transmission using neural networks or recurrent neural networks
10979097 · 2021-04-13 · ·

Examples described herein include systems and methods which include wireless devices and systems with examples of full duplex compensation with a self-interference noise calculator. The self-interference noise calculator may be coupled to antennas of a wireless device and configured to generate adjusted signals that compensate self-interference. The self-interference noise calculator may include a network of processing elements configured to combine transmission signals into intermediate results according to input data and delayed versions of the intermediate results. Each set of intermediate results may be combined in the self-interference noise calculator to generate a corresponding adjusted signal. The adjusted signal is received by a corresponding wireless receiver to compensate for the self-interference noise generated b a wireless transmitter transmitting on the same, frequency band as the wireless receiver is receiving.

ENHANCED FEEDBACK FOR SECURE MODE WIRELESS COMMUNICATIONS

This disclosure describes systems, methods, and devices related to enhanced feedback for secure mode wireless communications. A device may send a first null data packet (NDP) to a second device, and identify a second NDP received from the second device. The device may identify a location measurement report (LMR) received from the second device, the LMR including a first channel response indicative of a first arrival time of the first NDP at the second device and a first phase shift associated with the first NDP. The device may generate a second channel response indicative of a second arrival time of the second NDP at the device and a second phase shift associated with the second NDP. The device may determine that the first channel response does not match the second channel response, and may identify an attempted attack.

Eliciting MIMO Transmissions from Wireless Communication Devices
20210135718 · 2021-05-06 · ·

In a general aspect, MIMO transmissions are elicited from wireless communication devices for wireless sensing. A first wireless communication device may be configured to generate network or transport layer messages addressed to a second wireless communication device in a wireless communication network, and wirelessly transmit the network or transport layer messages to the second wireless communication device to elicit MIMO transmissions from the second wireless communication device. The first wireless communication device may further be configured to receive MIMO transmissions from the second wireless communication device, where the MIMO transmissions traverse a space between the first wireless communication device and the second wireless communication device. The first wireless communication device may additionally be configured to identify a training field in each MIMO transmission, generate channel information based on the respective training fields, and detect motion that occurred in the space based on the channel information.

Scalable synthesis of signals of high symbol rate using lower symbol rate DSPS

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for transmitting signals with a high data rate. In some implementations, an apparatus includes a first digital signal processor outputting first data at a first data rate. A second digital signal processor outputting second data at a second data rate. A filter circuitry receiving and up-sampling the first and second data. Additionally, the apparatus includes a combiner circuit that receives the first up-sampled data and the second up-sampled data, the combiner circuit combining the first and second up-sampled data to provide a multiplexed output, the multiplexed output having a third data rate that is greater than the first data rate or the second data rate.

SIGNAL VALIDATION FOR SECURE RANGING

A device implementing signal validation for secure ranging includes at least one processor configured to obtain a channel estimate based at least in part on a signal received from an other device over a channel. The at least one processor may be further configured to determine an average noise level of a beginning portion of the channel estimate and establish a direct path signal acceptance level for the channel estimate based at least in part on the average noise level. The at least one processor may further configured to identify a candidate direct path signal for the channel in a remaining portion of the channel estimate and validate the candidate direct path signal as a direct path signal for the channel when a signal level corresponding to the candidate direct path signal satisfies the direct path signal acceptance level, otherwise reject the candidate direct path signal as the direct path signal for the channel.