A location relationship obtaining method includes recording, as a reference location point corresponding to a searched terminal, a location point for obtaining a wireless signal having greatest strength, obtaining at least two reference location points, setting either of the at least two reference location points as a benchmark location point, and obtaining a reference location relationship between the other reference location points and the benchmark location point, where the reference location relationship indicating a location relationship between a searched terminal corresponding to the other reference location points and a searched terminal corresponding to the benchmark location point.

A computer-implemented method performed in a computerized system incorporating a central processing unit, a localization signal receiver, a plurality of sensors, separate and distinct from the localization signal receiver, and a memory, the computer-implemented method involving: using the central processing unit to initialize a plurality of particles based on an information on a map graph; using the central processing unit to repeatedly execute a particle filter loop, wherein the particle filter loop includes: using the central processing unit to perform a motion update of the plurality of particles; using the central processing unit to perform a measurement update of the plurality of particles; and using the central processing unit to perform a resampling of the plurality of particles based on particle importance weights and the map graph information. The location of the computerized system is subsequently determined based on the plurality of particles.

Systems, device configurations and methods are provided for indoor localization for a navigator receiver based on broadband communication signals such as LTE. In one embodiment, an LTE-IMU framework determines receiver position indoors. Two different designs of LTE receivers are provided based on code phase and carrier phase determinations of the received signal. A base/navigator framework is presented to correct unknown clock biases of the LTE eNodeBs. In this framework, the base receiver is placed outdoors, has knowledge of its own position, and makes pseudorange measurements to eNodeBs in the environment whose positions are known. The base transmits these pseudoranges to the indoor navigating receiver, which is also making pseudorange measurements to the same eNodeBs. The navigating receiver differences the base and navigator pseudoranges. The navigator receiver is equipped with an extended Kalman filter (EKF) to fuse LTE and IMU measurements in a tightly-coupled fashion and estimate navigating receiver states.

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.

An apparatus comprising a transceiver, an antenna and a processor. The transceiver may be configured to send/receive data messages to/from a plurality of vehicles. The antenna may be configured to receive signals from GNSS satellites. The processor may be configured to (i) determine a first region based on relative coordinates calculated using the data messages, (ii) determine a second region calculated using the signals received from the GNSS satellites, (iii) determine whether a pre-determined amount of the first region to the second region overlap and (iv) increase a confidence level of a positional accuracy of the plurality of vehicles if the pre-determined amount of the first region and the second region overlap. One of the vehicles implements one or more automatic responses based on the confidence level of the positional accuracy.

Techniques are described herein for imaging static or semi-static objects in a wireless power delivery environment and tracking non-static objects contained therein. More specifically, embodiments of the present disclosure describe techniques for determining the relative locations and movement of non-static objects in a wireless power delivery environment. Additionally, the techniques describe methods and system for generation of motion-based maps such as heat (or dwell maps) and flow maps.

Systems and methods for tracking a subject using radio-frequency identification (RFID). In an embodiment, an antenna array comprising a plurality of articulating brackets and a plurality of antennas is provided. Each of the articulating brackets is configured to move one of the plurality of antennas into a plurality of positions, and each of the antennas is configured to receive a RFID signal. In addition, a processor receives RFID data based on RFID signals received by the antennas of the antenna array, and determines a trajectory of a subject based on the RFID data. Based on the determined trajectory of the subject, the processor controls one or more of the articulating brackets to move one or more of the antennas into a position to track the subject.

A method for sharing user equipment state estimates between nodes within a wireless communication network comprises initiating of transmission of at least one of obtained user equipment kinematic state estimate information and obtained user equipment type state estimate information to a receiving network node as a response to an obtained indication of a need for sharing user equipment state estimates. The obtained user equipment kinematic state estimate information comprising a latest kinematic state update time, as well as mode state vector estimates, mode covariance matrices and mode probabilities for at least one user equipment kinematic mode. The obtained user equipment type state estimate information comprising a latest type state update time and a type state probability estimate. A method for receiving and propagating the user equipment state estimates, and devices for both methods are also disclosed.

There is disclosed a system for locating an object on a surface waveguide. The surface waveguide is made of one or more 1D wires and/or 2D waveguides comprising conductive elements arranged in patterns. Emitters with known positions can couple with receivers coupled with the surface waveguide. The position of receivers can be determined, for example by multilateration or signal strength indication. Conductive elements can be sprayed or sewed or otherwise deposited onto surfaces such as a ground floor, a sidewalk or a road lane. Described developments comprise the use of absorbers, protective layers, unidirectional emitters, contactless coupling, and various arrangements comprising frequency-selective layers, arrangements in lattices, trellis or anisotropic surfaces. Signal processing aspects and software embodiments are also described.

A non-transitory computer-readable medium storing a plurality of computer-readable instructions executable by a processor, wherein execution of the instructions configures the processor to: obtain location data representing a ground path of a flight of an object; determine, from the location data, a first ground distance and a second ground distance traversed by the object during an ascent phase and a descent phase of the flight of the object, respectively; determine an initial angle of the flight of the object; determine an initial airspeed of the object based on the determined initial angle; determine an air drag value for the object during the flight based on the determined initial angle and the determined initial airspeed; output a flight path of the object, the flight path representing a three-dimensional path travelled by the object during the flight and determined based on the initial angle, the initial airspeed and the air drag value.