G01S5/0252

MEASUREMENT MODEL BASED ON UPLINK SIGNALS WITH RECIPROCITY TO DOWNLINK BEAM

In an aspect, a network component (e.g., BS, server, etc.) obtains measurement information associated with uplink signal(s) from UE(s), with the uplink signal(s) having reciprocity with one or more downlink beams of wireless node(s) (e.g., TRP, reference UE, etc.). The network component determines (e.g., generates or refines) a meausrement (e.g., RFFP-P) model based on the measurement information. The network component provides the measurement (e.g., RFFP-P) model to a target UE. The target UE receives at least one signal (e.g., PRS) on the one or more downlink beams from the wireless node(s). The target UE processes the at least one signal (e.g., predicts target UE location) based at least in part on the measurement (e.g., RFFP-P) model.

PARTIALLY SYNCHRONIZED MULTILATERATION/TRILATERATION METHOD AND SYSTEM FOR POSITIONAL FINDING USING RF
20170227625 · 2017-08-10 ·

Systems and methods for determining a location of one or more user equipment (UE) in a wireless system can comprise receiving reference signals via a location management unit having two or more co-located channels, wherein the two or more co-located channels are tightly synchronized with each other and utilizing the received reference signals to calculate a location of at least one UE among the one or more UE. Embodiments include multichannel synchronization with a standard deviation of less than or equal 10 ns. Embodiments can include two LMUs, with each LMU having internal synchronization, or one LMU with tightly synchronized signals.

SCHEDULING REQUESTS FOR LOCATION DATA
20220312332 · 2022-09-29 ·

Systems, methods, and computer readable media that schedules requests for location data of a mobile device, where the methods include selecting a first positioning system based on a power requirement, a latency requirement, and an accuracy requirement, and determining whether a first condition is satisfied for querying the first positioning system. The method further comprises in response to a determination that the first condition is satisfied, querying the first positioning system for first position data. The method further comprises in response to a determination that the first condition is not satisfied, selecting a second positioning system based on the power requirement, the latency requirement, and the accuracy requirement, determining whether a second condition is satisfied for querying the second positioning system, and in response to a determination that the second condition is satisfied, querying the second positioning system for second position data.

METHOD AND APPARATUS FOR VALIDATING LOCATION OF VESSEL

A vessel location validation method and apparatus are provided. The vessel location validation method includes receiving a wireless signal from a vessel, acquiring location information of the vessel from the received wireless signal, and determining whether the acquired location information is valid based on the acquired location information and a signal strength of the received wireless signal.

Position estimation method for estimating position of interference signal source and position estimation system for performing the method

Disclosed is a position estimation method for estimating a position of an interference signal source and a position estimation system for performing the method. The position estimation method may implement an indoor delay-space analysis structure by transmitting and receiving a known signal and a virtual array structure-based direction finding algorithm in an indoor environment in which a plurality of reflected waves is present and may increase an estimation probability for the position of the interference signal source.

Apparatus and method for measuring location of user equipment located indoors in wireless network

A method of measuring a location of a user equipment (UE) located indoors in a wireless network includes receiving signals from a plurality of access points (APs), performing training for machine learning using the received signals or information acquired from the received signals, setting a weight vector to be applied to a relevance vector machine (RVM) method using data subjected to the training for machine learning, and applying RVM regression to the set weight vector and measured strengths of the received signals and determining whether the signals received from the plurality of APs are line of sight (LOS) signals or non line of sight (NLOS) signals.

Precise altitude estimation for indoor positioning

A method is disclosed comprising: determining at least one relative altitude information based, at least in part, on at least one pressure information, wherein the at least one relative altitude information is indicative of a relative value of an altitude, determining at least one absolute altitude information associated with a data element of a database comprising map data, wherein the at least one absolute altitude information is indicative of an absolute value of an altitude, determining an estimation information based, at least in part, on the determined relative altitude information and, at least in part, on the determined absolute altitude information, wherein the estimation information represents an absolute value of an altitude. It is further disclosed an according apparatus, computer program and system.

METHOD FOR DETERMINING THE POSITION OF A PORTABLE USER DEVICE AROUND A VEHICLE AND ASSOCIATED LOCATION DEVICE
20170272907 · 2017-09-21 ·

Disclosed is a method of determining the position of a portable user device around a vehicle by a location device placed on board the vehicle and communicating with the portable device by radio waves, including the execution of the following steps whenever the portable device receives a signal from the location device: step E3: Measuring and storing a value of strength of the signal) thus received; step E4: Measuring and storing a value of acceleration) of the portable device; step E5: Calculating a ratio between a variation of the strength value thus measured, relative to a strength value stored at a preceding instant-RSSI, and a variation of the acceleration value thus measured, relative to an acceleration value stored at the preceding instant-AC; step E6: Comparing the ratio thus calculated with at least one predetermined threshold, in order to determine a distance between the portable device and the vehicle.

Tracking systems and methods for remotely tracking a location of a person on a map of a monitored premise
09813992 · 2017-11-07 · ·

Techniques tracking, monitoring, updating, and displaying location and related information based on telemetry information received from mobile devices carried in the field. Each tracked entity (e.g., person, robot) carries or is associated with a mobile device. When a mobile device enters within range of a checkpoint associated with a known position, the mobile device notifies a central server or other system (e.g., a peer device), which then makes the received information (or information derived therefrom) available to other devices and/or systems. In some cases, the checkpoint devices are wireless network access points, such as Wi-Fi routers, access points, media device, or the like.

Reference based location information for a wireless network

Determining referenced based location information for a wireless radio network is described. Referenced based location information can include determining location reference information and corresponding location offset information based on location information. In an aspect, location information can be timed fingerprint location information. Location offset information can be communicated in a wireless network at a lower operational cost than the associated location information. As such, use of referenced based location information for a wireless network can reduce bandwidth consumption as compared to location information communicated at similar intervals. This is particularly true in large wireless networks. Moreover, the use of referenced based location information for determining timed fingerprint location information can be highly attractive in light of timed fingerprint location information facilitating location information for many non-GPS enabled devices and being associated with significant increases in the frequency and density of location event requests.