Aspects of the present invention provide systems and methods for distributed signal processing of indoor localization signals wherein statistical algorithms and machine learning are used in place of a fingerprint map. The disclosure relates to calculation of angle and distance based on measurements of an indoor localization signal, followed by energy-efficient distribution of signal processing. Local signal processing is performed using any of multiple eigen structure algorithms or a linear probabilistic inference, before cloud-based signal processing is performed using a nonlinear probabilistic inference and machine learning that's been trained with historical data transmitted by the base stations and time-of-day location patterns. Without having to generate and constantly update an energy-exorbitant fingerprint map, the disclosed system reduces localization error to merely 50 cm with 95% probability without compromising energy-efficiency to rival the accuracy of indoor localization systems that utilize fingerprinting.

A Bluetooth-enabled device is provided, the Bluetooth-enabled device being configured to control a radio frequency (RF) chain during a first period to receive at a single antenna selected from a plurality of antennas, a constant tone extension (CTE) signal of multiple frames transmitted by the Bluetooth-enabled transmitter over multiple frequencies. Further the RF chain is controlled during a second period to switch among the plurality of antennas to receive the CTE signal at each of the plurality of antennas. An initial time-of-flight (ToF) data of the CTE signal is determined from first samples of the CTE signal received during the first period. Further, the Bluetooth-enabled transmitter is localized with respect to a location of the Bluetooth-enabled device using a signal model connecting samples of the CTE signal with an unknown angle-of-arrival of the CTE signal received at specific times, an unknown ToF conditioned on the initial ToF data.

A method comprising: wirelessly receiving, at a first device, at least one data packet from each second device of a plurality of second devices arranged at predetermined locations of a target; detecting an angle of arrival of each at least one data packet wirelessly received of at least a pair of second devices; calculating at least one angle difference between the angles of arrival associated with the pair of second devices, or between the angles of arrival associated with each of the pair of second devices and a predetermined direction; and determining whether the target is at a predetermined distance range from the first device by estimating the distance based on the at least one angle difference, and a predetermined distance between the predetermined locations; or checking whether each of the at least one angle difference is within a predetermined angle range for the predetermined locations of the pair of second devices. Also, a method for making such determination based on angles of departure.

A system comprises a computer including a processor and a memory. The memory storing instructions executable by the processor to cause the processor to detect a roadside device via at least one vehicle sensor of a plurality of vehicle sensors; determine a location of a vehicle based on a fixed location of the roadside device; determine a location correction adjustment, wherein the location correction adjustment comprises a difference between an assumed location of the vehicle and the determined location of the vehicle, wherein the assumed location is obtained from a navigation system of the vehicle; and adjust the assumed location based on the location correction adjustment.

A system comprises a computer including a processor and a memory. The memory storing instructions executable by the processor to cause the processor to detect a roadside device via at least one vehicle sensor of a plurality of vehicle sensors; determine a location of a vehicle based on a fixed location of the roadside device; determine a location correction adjustment, wherein the location correction adjustment comprises a difference between an assumed location of the vehicle and the determined location of the vehicle, wherein the assumed location is obtained from a navigation system of the vehicle; and adjust the assumed location based on the location correction adjustment.

An electronic device is provided that includes a foldable housing. The foldable housing includes a hinge module, a first housing, and a second housing. The first housing is connected to the hinge module and includes a first surface facing a first direction, a second surface facing a second direction opposite to the first direction, and a first antenna supporting a first frequency band. The second housing is connected to the hinge module and includes a third surface facing a third direction, a fourth surface facing a fourth direction opposite to the third direction, and a second antenna supporting the first frequency band, and is folded with the first housing with respect to the hinge module. In the electronic device, in a folded state in which the first surface faces the third surface, the first antenna and the second antenna may be arranged to be spaced apart from each other by half a wavelength corresponding to the first frequency band, and in an unfolded state in which the first direction and the third direction are the same direction, the first antenna and the second antenna may be arranged to be spaced apart from each other by an error range or more, wherein the error range corresponds to the first frequency band.

A system comprises a computer including a processor and a memory. The memory storing instructions executable by the processor to cause the processor to detect a roadside device via at least one vehicle sensor of a plurality of vehicle sensors; determine a location of a vehicle based on a fixed location of the roadside device; determine a location correction adjustment, wherein the location correction adjustment comprises a difference between an assumed location of the vehicle and the determined location of the vehicle, wherein the assumed location is obtained from a navigation system of the vehicle; and adjust the assumed location based on the location correction adjustment.

A system comprises a computer including a processor and a memory. The memory storing instructions executable by the processor to cause the processor to detect a roadside device via at least one vehicle sensor of a plurality of vehicle sensors; determine a location of a vehicle based on a fixed location of the roadside device; determine a location correction adjustment, wherein the location correction adjustment comprises a difference between an assumed location of the vehicle and the determined location of the vehicle, wherein the assumed location is obtained from a navigation system of the vehicle; and adjust the assumed location based on the location correction adjustment.

An electronic equipment, a user equipment, a wireless communication method, and a storage medium. An electronic equipment configured in a wireless communication system that comprises a single base station equipment comprises a processing circuit and is configured to: estimate the distance between a network side equipment and a user equipment according to a downlink signal arrival angle measured by the user equipment and an uplink signal arrival angle measured by the network side equipment; and determine the position of the user equipment according to the distance between the network side equipment and the user equipment as well as the uplink signal arrival angle.

A remote communication system includes a portable device; and a fixed system. The fixed system includes main communication modules; and a position estimating unit configured to estimate a position of the portable device, based on an incident angle of a signal from the portable device, upon detecting the signal by antennas provided in the main communication modules. When there are two main communication modules for which the incident angle is known, the position of the portable device is estimated based on the incident angle. When there is one main communication module for which the incident angle is known, the position of the portable device is estimated based on the incident angle and a received radio wave intensity of the signal. When there is no main communication module for which the incident angle is known, the position of the portable device is estimated based on the received radio wave intensity.