Provided are a method for determining a moving direction of a terminal and correcting a position thereof, and a positioning apparatus using the same. Relative direction information is estimated based on N pieces of position information of the terminal, and distortion information is removed from the relative direction information to acquire relative direction information without direction integrity. Further, the relative direction information is transmitted into absolute direction information to acquire a moving path direction of the terminal. Next, the position information of the terminal is corrected based on the moving path direction of the terminal.

Systems and methods for improved location accuracy are provided. For example, some systems can include a location engine, and a plurality of location anchors. In some embodiments, each of the plurality of location anchors can transmit or receive signals to or from an object for determining an angular orientation of the object with respect to the plurality of location anchors, and based on the angular orientation, the location engine can estimate a location of the object. In some embodiments, each of the plurality of location anchors can transmit first signals to the location engine, the location engine can receive a second signal from an object, based on the first signals and the second signal, the location engine can determine a differential pressure between the plurality of location anchors and the object, and based on the differential pressure, the location engine can estimate an altitude of the object.

A user equipment (UE) device pointed at an appliance to be controlled, or at an object that is to be accessed or about which information needs to retrieved, determines its position and orientation within an environment with respect to a fixed frame of reference. The appliance to be controlled is identified based on a determined position and orientation of the UE device and a known position of the appliance. The UE device controls the identified appliance by establishing a wireless communication link between the identified appliance and UE device based on a wireless technology that is compliant with both the appliance and the UE device. The UE device may control another appliance via a central control computer server to which the other appliance is interfaced, when the other appliance is not configured for wireless communication.

An apparatus obtains a set of radio data comprising signal strength related values for radio signals transmitted by a transmitter with an association of each signal strength related value with a representation of a geographical location. The apparatus applies a frequency transform to the obtained set of radio data to obtain transform coefficients, each transform coefficient comprising a transform index and an associated transform value. The apparatus selects a subset of transform indices having more significant transform values than the remaining transform indices and compresses the transform indices by encoding each transform index exploiting a probability of occurrence of an index value of a respective transform index. The same or another apparatus decodes the compressed transform indices again for use in position operations.

Head-mounted augmented reality (AR) devices can track pose of a wearer's head to provide a three-dimensional virtual representation of objects in the wearer's environment. An electromagnetic (EM) tracking system can track head or body pose. A handheld user input device can include an EM emitter that generates an EM field, and the head-mounted AR device can include an EM sensor that senses the EM field. EM information from the sensor can be analyzed to determine location and/or orientation of the sensor and thereby the wearer's pose. The EM emitter and sensor may utilize time division multiplexing (TDM) or dynamic frequency tuning to operate at multiple frequencies. Voltage gain control may be implemented in the transmitter, rather than the sensor, allowing smaller and lighter weight sensor designs. The EM sensor can implement noise cancellation to reduce the level of EM interference generated by nearby audio speakers.

An indoor positioning method includes: receiving a first measurement parameter obtained by a first device by measuring a second device in a first coordinate system, where the first measurement parameter includes a first angle and a first distance, the first angle is an angle of the second device in the first coordinate system, and the first distance is a distance of the second device relative to an origin of coordinates of the first coordinate system; determining a first spatial position of the second device in the first coordinate system based on the first angle and the first distance; and determining a spatial position of the second device in a geodetic coordinate system based on the first spatial position and a conversion relationship between the first coordinate system and the geodetic coordinate system.

Aspects presented herein may enable a user equipment (UE) to perform angle-of-arrival (AoA) determination using non-ideal and non-directional antennas. In one aspect, a UE obtains an indication of a phase difference of arrival (PDoA) function related to the first user equipment (UE). The UE obtains a set of PDoA measurements associated with a second UE when the first UE is associated with a plurality of orientations. The UE computes, based on the PDoA function, the set of PDoA measurements, and the plurality of orientations of the first UE, a general function that is associated with a probability in which the second UE is at a set of relative directions compared to the first UE. The UE estimates, based on the computed general function, a relative direction of the second UE compared to the first UE, where the relative direction is included in the set of relative directions.

Disclosed are a positioning method, a gateway, and a positioning device. The positioning method comprises: receiving, by means of a Bluetooth gateway, a data packet sent by a terminal device and comprising target position information, and position information of a Bluetooth node closest to the terminal device; determining the closest Bluetooth node according to the position information of the closest Bluetooth node; receiving, by the closest Bluetooth node, a data packet sent by the terminal device and comprising CTE information; obtaining current position information of the terminal device according to the CTE information; and when the current position information of the terminal device is inconsistent with the target position information, obtaining, according to the current position information of the terminal device and the target position information, position information of a next Bluetooth node closest to the terminal device and navigation information, and sending the navigation information to the terminal device.

Head-mounted augmented reality (AR) devices can track pose of a wearer's head to provide a three-dimensional virtual representation of objects in the wearer's environment. An electromagnetic (EM) tracking system can track head or body pose. A handheld user input device can include an EM emitter that generates an EM field, and the head-mounted AR device can include an EM sensor that senses the EM field. EM information from the sensor can be analyzed to determine location and/or orientation of the sensor and thereby the wearer's pose. The EM emitter and sensor may utilize time division multiplexing (TDM) or dynamic frequency tuning to operate at multiple frequencies. Voltage gain control may be implemented in the transmitter, rather than the sensor, allowing smaller and lighter weight sensor designs. The EM sensor can implement noise cancellation to reduce the level of EM interference generated by nearby audio speakers.

Radio-frequency identification (RFID) systems use readers to query and locate passive RFID tags in stores, warehouses, and other environments. A signal from the reader powers up the tag, which modulates and backscatters the signal toward the reader. The reader or an appliance coupled to the reader can estimate the tag's position based on the angle of arrival (AOA) of the backscattered signal. In some situations, AOA measurements by different readers may yield different position estimates for the same tag. If these position estimates are close enough to each other (e.g., within the expected imprecision or error radius), they can be averaged to improve precision. If not, the appliance can measure the variance or another measure of dispersion for each reader's position estimates, then pick the reader with the lowest dispersion as the preferred or best sensor for locating that tag, improving precision and reducing processing time.