Patent classifications
G01S5/02528
Terminal position estimation system, terminal position estimation apparatus, terminal position estimation method, and computer-readable non-transitory tangible storage medium storing control program
In a terminal position estimation system, a terminal position estimation apparatus, or a terminal position estimation method, an electric wave is received by a reception antenna of a communication terminal and is transmitted from multiple transmission antennas. A communication terminal position is estimated based on a magnetic field strength of the electric wave. When the communication terminal position is estimated, a position satisfying an approximate expression is estimated as the communication terminal position. The approximate expression shows a magnetic field strength distribution and is expressed by two variables of a distance from the multiple transmission antennas to the communication terminal and an angle between an axial direction of the multiple transmission antennas and a direction in which the communication terminal is positioned.
Location determination based on phase differences
Disclosed are embodiments for determining a location of a device based on phase differences of a signal received from the device. In some embodiments, expected phase differences for signals transmitted from a plurality of regions are determined. The expected phase differences are those differences of the signal when received at each of a plurality of receive elements of a receiving device. By comparing phase differences of a signal received from the device to the expected phase differences, a location of the device is determined.
Radio environment estimation method and radio environment estimation apparatus
A synthetic reception strength value in a case of synthesizing indirect waves of radio waves generated due to an obstruction is calculated for each piece of receive antenna coordinate information in consideration of a phase of each indirect wave. Relation information indicating relation between input information and teaching information is generated. The input information is the synthetic reception strength value for each piece of the receive antenna coordinate information corresponding to transmit antenna coordinate information. The teaching information is information indicating a reception state of the radio waves being calculated using a method of actually measuring the radio waves output by the transmit antenna at a position of a receive antenna or a method other than the method of the actual measurement. Strength of the radio waves is estimated by calculating the information indicating the reception state of the radio waves by using the transmit antenna coordinate information for evaluation and the generated relation information.
System for synthesizing signal of user equipment and method thereof
A system for synthesizing signal of user equipment and a method thereof are provided. The system includes a physical channel modeler and a physical channel training module. The physical channel modeler receives geo information of a field under test of and a sparse real physical field channel feature to build a physical channel model. The physical channel modeler estimates a plurality of predefined positions of the geo information to obtain a plurality of simulated physical field channel features corresponding to the predefined positions. The physical channel training module receives and performs training on the geo information, the sparse real physical field channel feature and the simulated physical field channel features by using an AI algorithm to perform an inference of a fully real physical field channel feature.
MATCHING FOR GNSS SIGNALS
This disclosure describes methods, systems and machine readable media that can provide position solutions using, for example, pattern matching with GNSS signals in urban canyons. In one method, based upon an approximate location in an urban canyon and a set of 3D data about building structures in the urban canyon, an expected signal reception data can be generated for both line of sight and non-line of sight GNSS signals from GNSS satellites, or other sources of GNSS signals, at each point in a set of points in a grid (or other model) in the vicinity of the approximate location). This expected signal reception data can be matched to a received set of GNSS signals that have been received by a GNSS receiver, and the result of the matching can produce an adjustment to the approximate location that is used in the position solution of the GNSS receiver.
FLOOR-PLAN BASED LEARNING AND REGISTRATION OF DISTRIBUTED DEVICES
A method of registering distributed devices includes discovering a plurality of devices at a central panel or server, localizing the devices, and authorizing the devices with a mobile device communicating with the central panel or server. The method also includes registering the devices with the central panel. The model can include verifying link quality with each of the devices before registering the devices with the central panel by comparing signal quality between each device and a central panel with a pre-defined threshold level.
ELECTRIC FIELD MAP GENERATION DEVICE, METHOD, PROGRAM, AND LOCALIZATION DEVICE
Time and effort to generate an electric field map to realize high-accuracy positioning is reduced. In an electric field map generation device (10) that generates an electric field map in which RSSI obtained when radio waves transmitted from a beacon (60) are observed at each of a plurality of points in the same space is associated with each of coordinates at the plurality of points, a radio wave strength acquisition unit (12) acquires RSSI observed at each of at least three observation points different in distance from the beacon (60), a space propagation characteristics estimation unit (14) estimates space propagation characteristics of the radio waves transmitted from the beacon (60) in the same space using the acquired RSSI at the observation points, a radio wave strength estimation unit (16) estimates RSSI at estimation points on the basis of the estimated space propagation characteristics and distances between the estimation points different from the observation points and the beacon (60), and a generation unit (18) generates the electric field map (26) using the RSSI at the observation points and the estimation points.
LOCATION DETERMINATION BASED ON PHASE DIFFERENCES
Disclosed are embodiments for determining a location of a device based on phase differences of a signal received from the device. In some embodiments, expected phase differences for signals transmitted from a plurality of regions are determined. The expected phase differences are those differences of the signal when received at each of a plurality of receive elements of a receiving device. By comparing phase differences of a signal received from the device to the expected phase differences, a location of the device is determined.
POSITION ESTIMATION FOR VEHICLES BASED ON VIRTUAL SENSOR RESPONSE
A method for determining an estimated position of a vehicle includes: receiving a measured sensor response determined with a scanning sensor of the vehicle, which is scanning an environment of the vehicle and determining the estimated position of the vehicle by generating a virtual sensor response for a possible position of the vehicle from an environmental map; and comparing the measured sensor response with the virtual sensor response for determining, how much the possible position and a real position of the vehicle at which the measured sensor response was generated, coincide.
NETWORK LOCATIONING RF PLANNER
Systems and methods for determining an indication of locationing accuracy are disclosed herein. In some embodiments, an antenna deployment including multiple antennas and corresponding locations for the antennas is obtained. Then, one or more radio characteristics are determined for ubiety locations based on the antenna deployment and an indication of locationing accuracy for the ubiety locations is determined based on the one or more radio characteristics. In this way, an antenna deployment can be evaluated for locationing accuracy. This may be used by a network engineer or an automated system to determine and/or refine an antenna deployment.