Provided are a location prediction method and apparatus, a node and a storage medium. The method includes: a server obtaining a measurement report message sent by a base station, where the measurement report message includes historical location measurement information reported by at least one UE and/or historical location measurement information of the at least one UE measured by the base station; and the server determining prediction location information of the at least one UE at a first time point or in a first time period according to the measurement report message, and sending notification information to the base station according to the prediction location information. By introducing measurement information in multiple dimensions, the accuracy of predicting the location of UE can be effectively improved.

The invention relates to navigation, particularly, to detection of indoor and outdoor positions of mobile devices. Technical result of the invention is to improve the accuracy of mobile terminal position detection at time of occurrence of a specific trigger event and decrease of load on sensor, computing, communication and other resources of the mobile terminal at times when a trigger event occurs. Mobile terminal positioning technique at the trigger event moment, is characterized by the following sequence: receipt of series of readings of inertial and non-inertial sensors, identification of intervals, during which readings of at least one sensor generates a stationary process; then detection of at least one point of time, when at least one stationary process is replaced by another stationary process; then identification of parameters of at least one pattern of movement for at least one stationarity interval; then detection of at least one position of the mobile terminal according to readings of non-inertial sensors; estimation of mobile terminal path according to parameters of at least one pattern of movement and then of position corresponding to change of one stationary process to another; then detection of mobile terminal position at time corresponding to a specific trigger event.

A method for tracking a device not actively sending patient data to a network of medical devices is disclosed. The method comprises the device giving a signal at a time interval; an active hub listening to the device at the time interval; the active hub storing information about the device; and the active hub continuing to listen at the time interval to the device until the device actively sends patient data, or until no more signals are heard from the device. A system for tracking a device of a network of medical devices is also disclosed. The network comprises a hub and at least one device. The at least one device is configured to give a signal to the hub at a time interval, if the at least one device does not actively send patient data. The hub is configured to listen at the time interval to any devices not actively sending patient data. The hub is configured to store information about any devices not actively sending patient data. The hub is configured to continue listening to any devices not actively sending patient data until all devices actively send patient data, or until no more signals are heard from any devices not actively sending patient data.

A sensor may be configured to determine how many people that have entered or exited a space. The sensor may comprise a pyroelectric infrared (PIR) detection circuit capable of generating different output signal patterns in response to a person entering or exiting the space. The sensor may determine whether the person has entered or exited the space based on the output signal pattern. The sensor may include a thermopile array, a radar detection circuit, or a visible light sensing circuit. The thermopile array, radar detection circuit, or visible light sensing circuit may be capable of detecting a person's location and/or movements within an area monitored by the sensor and determining, based on the detected movements, whether the person has entered or left the space. An occupant count of the space may then be determined accordingly by the sensor or by a system controller.

A method and software product display errors of a tracking system that utilizes a plurality of receivers positioned around a tracking area to receive pings periodically transmitted by a tracking tag within the tracking area. For each locate received from the tracking system, a symbol indicative of the locate is plotted on a display graphically depicting the tracking area. A vector connecting each pair of chronologically consecutive symbols is plotted on the display, the vector visually indicating an error within the locates that would otherwise not be visible on the display. Another method concurrently displays predicted sensitivity for each of at least two receivers of a tracking system that locates tracking tags within a tracking area, the receivers being positioned within a surrounding area of the tracking area. A graphical representation of the surrounding area, the tracking area, and receiver sensitivities indicate the predicted receiver coverage of the tracking area.

A position estimation unit (2) comprising a first transceiver device (3) and a processing unit (10) that is arranged to repeatedly calculate time-of-flight (TOF) for radio signals (x.sub.1, x.sub.2, x.sub.3, x.sub.4, x.sub.5, x.sub.6) sent pair-wise between two transceivers among the first transceiver device (3) and at least two other transceiver devices (7, 8, 9); calculate possible positions for the transceiver devices (3, 7, 8, 9), which results in possible positions for each transceiver device (3, 7, 8, 9); and perform Multidimensional scaling (MDS) calculation in order to obtain relative positions of the transceiver devices (3, 7, 8, 9) in a present coordinate system. After two initial MDS calculations, between every two consecutive MDS calculations, the processing unit (10) is arranged to repeatedly perform a processing procedure comprising translation, scaling and rotation of present coordinate system such that a corrected present coordinate system is acquired. The processing procedure is arranged to determine the corrected present coordinate system such that a smallest change for the relative positions of the transceiver devices (3, 7, 8, 9) between the consecutive MDS calculations is obtained.

Systems and methods for angle of arrival determination in wireless devices include one or more processors which determine a first angle of arrival (AoA) and a first distance between a user device and an anchor device at a first time instance, according to first measurements between a single ultra-wideband (UWB) antenna of the user device and a plurality of UWB antennas of the anchor device. The processor(s) may determine a second AoA and a second distance between the user device and the anchor device at a second time instance, according to second measurements between the single UWB antenna of the user device and the plurality of UWB antennas of the anchor device. The processor(s) may determine a direction of movement of the user device relative to the anchor device, according to the first AoA, the first distance, the second AoA, and the second distance.

A positioning apparatus comprises an acquiring section which acquires an azimuth angle and an angular velocity of a moving object from values measured by sensors of the moving object moving in a positioning area; a storage section which stores a coefficient of a relational expression established between a moving speed and a standard deviation of the angular velocity of the moving object in association with each of a plurality of division areas for dividing the positioning area; and a positioning section which specifies a division area where the moving object is positioned per unit time to acquire the stored coefficient in association with the division area, and calculates the moving speed in the division area from the coefficient and the standard deviation of the acquired angular velocity to measure a position of the moving object in the positioning area from the moving speed and the acquired azimuth angle.

A method for estimating the pressure measurement bias of a barometric sensor in a wireless terminal. A location engine using the method generates an enhanced estimate of the measurement bias. The location engine generates the enhanced estimate based in part on relatively coarse estimates of the elevation of the wireless terminal. Each coarse estimate of elevation is often generated from noisy measurements, such as measurements of signals transmitted by Global Positioning System (GPS) satellites, and has an associated uncertainty. The location engine accounts for the uncertainty in these estimates of elevation by applying an optimal estimation technique, such as Kalman filtering, and by compensating for environment-related effects. Compensating Includes filtering across a plurality of lateral locations and imposing a lower bound of bias uncertainty at the lateral locations. Once the location engine generates the enhanced estimate of measurement bias, it can generate improved estimates of elevation of the wireless terminal.

A system for tracking position of one or more moving transmission sources is disclosed. The transmission source can transmit a signal while moving from a first position to a first expected position and a receiver can receive the signal. The transmission source can include an antenna. An audio source can transmit an audio signal at a predetermined frequency and a controller can determine a second position of the transmission source, calculate an offset between the second position with the first expected position, and compare the offset with a predetermined threshold. A first rate of movement can be calculated based on a distance traveled between the first position and the second position with respect to the predetermined frequency. A first indication can be transmitted to at least one user device including the first location offset with the predetermined threshold and the first rate of movement.