In at least one embodiment, a system for providing locationing multipath mitigation for wireless communication is provided. The system includes a receiver having at least one controller. The at least one controller is programmed to; receive a first narrowband wireless signal including a predetermined symbol from a transmitter across a wideband transmission channel that exhibits a multipath condition and additive noise, the first narrowband wireless signal being convoluted with the wideband channel to form a first received signal and to perform autocorrelation on the first received signal to extract the predetermined symbol. The at least one controller is further configured to filter the extracted predetermined symbol to deconvolve the first received signal to minimize the effects of the multipath condition and the additive noise to provide a first deconvoluted signal.

Disclosed are techniques for wireless communication. In an aspect, a network entity determines a location of a target base station and a location of at least one reference device, determines an angle-of-arrival (AoA) measurement of one or more reference signals received by at least one antenna array of the target base station from the at least one reference device, determines an expected AoA between the at least one antenna array and the at least one reference device based on the location of the target base station and the location of the at least one reference device, and determines an orientation offset of the at least one antenna array based on a difference between the expected AoA and the AoA measurement.

Disclosed are techniques for wireless communication. In an aspect, a network entity determines a location of a target base station and a location of at least one reference device, determines an angle-of-arrival (AoA) measurement of one or more reference signals received by at least one antenna array of the target base station from the at least one reference device, determines an expected AoA between the at least one antenna array and the at least one reference device based on the location of the target base station and the location of the at least one reference device, and determines an orientation offset of the at least one antenna array based on a difference between the expected AoA and the AoA measurement.

A device location sensing method obtains locations of N devices in a wireless network based on channel state information (CSI). Each device in the wireless network has M antennas arranged in a non-linear manner. To determine the device locations, CSI data mutually detected between every two devices in N devices is obtained and used to calculate an angle difference of arrival (ADoA) set which includes, for every two devices in the N devices relative to each of the other devices in the N devices, an ADoA that is a difference between angles of arrival (AoAs) of the two devices relative to the other device. Relative locations of the N devices are then calculated based on the ADoA set.

A method for signal processing includes receiving at a given location at least first and second signals transmitted respectively from at least first and second antennas (34) of a wireless transmitter (24). The at least first and second signals encode identical data using a multi-carrier encoding scheme with a predefined cyclic delay between the transmitted signals. The received first and second signals are processed, using the cyclic delay, in order to derive a measure of a phase delay between the first and second signals. Based on the measure of the phase delay, an angle of departure (θ) of the first and second signals from the wireless transmitter to the given location is estimated.

A method for signal processing includes receiving at a given location at least first and second signals transmitted respectively from at least first and second antennas (34) of a wireless transmitter (24). The at least first and second signals encode identical data using a multi-carrier encoding scheme with a predefined cyclic delay between the transmitted signals. The received first and second signals are processed, using the cyclic delay, in order to derive a measure of a phase delay between the first and second signals. Based on the measure of the phase delay, an angle of departure (θ) of the first and second signals from the wireless transmitter to the given location is estimated.

Disclosed are examples of a method, system and asset tag that enables general, coarse and fine estimates of a location of the asset tag. The asset tag receives a signal transmitted from radio frequency (RF)-enabled nodes within a space. Each respective received signal includes a unique node identifier of the respective RF node that transmitted the respective received radio signal. Each RF node has a physical node location in the space that is associated with the unique node identifier. The tag measures the received signal strength of each respective received signal that is associated with the node identifier of the RF node that transmitted the respective received signal. The strongest measured received signal strengths are selected, and a tuple containing the node identifiers for the selected strongest signal strengths is forwarded for estimating a location of the asset tag by a computing device.

Disclosed are examples of a method, system and asset tag that enables general, coarse and fine estimates of a location of the asset tag. The asset tag receives a signal transmitted from radio frequency (RF)-enabled nodes within a space. Each respective received signal includes a unique node identifier of the respective RF node that transmitted the respective received radio signal. Each RF node has a physical node location in the space that is associated with the unique node identifier. The tag measures the received signal strength of each respective received signal that is associated with the node identifier of the RF node that transmitted the respective received signal. The strongest measured received signal strengths are selected, and a tuple containing the node identifiers for the selected strongest signal strengths is forwarded for estimating a location of the asset tag by a computing device.

A spatial location system capable of spatially locating a device in three dimensions is described comprising at least three of: a transmitter and a receiver, together with an antenna array operably connected to each, wherein each antenna array is capable of varying a pointing angle of at least one antenna lobe independently without the need to move either the antenna array or its constituent parts physically and wherein at least three antenna lobes are arranged such that they may partially intersect at one or more pointing angles under electronic control. The antenna array may, for example, comprise at least a first sub-array and at least a second sub-array wherein the second sub-array is oriented substantially orthogonally to the first sub-array and at least a third sub-array wherein third sub-array is positioned at a location which is not coincident with the location at which the at least a first sub-array is positioned.

The pointing angle of an antenna lobe or null or other characteristic feature of the antenna radiation pattern of a first sub-array and the pointing angle of an antenna lobe or null or other characteristic feature of the antenna radiation pattern of at least a second sub-array together with the pointing angle of an antenna lobe or null or other characteristic feature of the antenna radiation pattern of at least a third sub-array may be independently controllable in order to allow each to separately locate a signal which falls within their respective steering ranges. A point within the area of intersection of the three or more beams, when they are arranged to point at a signal to be located, may be reported to a further process or system as a three-dimensional spatial location of the signal source or its transmitting antenna.

A method and a system for vehicle-to-pedestrian collision avoidance system, the system comprising participants consisting of Long-Term Evolution (LTE)-capable user equipment (UE) terminals physically linked to at least one vehicle and at least one pedestrian; wherein a spatiotemporal positioning of the terminals is determined from Long Term Evolution (LTE) cellular radio signals mediated by Long-Term Evolution (LTE) cellular base stations (BS) and a Location Service Client (LCS) server including an embedded Artificial Intelligence algorithm comprising a Recurrent Neural Network (RNN) algorithm and analyzes the spatiotemporal positioning of the terminals and determines the likely future trajectory and communicates the likely future trajectory of the participants to the terminals physically linked to the pedestrian; the terminals physically linked to the pedestrian include an embedded Artificial Intelligence algorithm comprising a Conditional Random Fields (CRFs) algorithm to determine if the likely future trajectory of the pedestrian is below a vehicle-to-pedestrian proximity threshold limit and, if this condition is reached, communicates a collision-avoidance emergency signal to the at least one pedestrian and/or vehicle that meet the proximity threshold limit.