The invention relates to a method for RTLS positioning of a tag with respect to a plurality of anchors, said plurality preferably comprising at least three anchors, wherein each of the anchors and the tag comprise wireless communication means for transmitting and receiving packets to and from the other ones of said plurality of anchors and said tag; said method comprising the steps of: for each respective of the anchors, controlling the tag and the respective anchor to perform two-way ranging, TWR, said TWR comprising at least the substeps of controlling one of the tag and the respective anchor to transmit one or more first measurement packets to the other one of the tag and the respective anchor, and controlling the other one of the tag and the respective anchor to, upon receipt of each respective of the first measurement packets, transmit a respective second measurement packet to the one of the tag and the respective anchor that transmitted the respective first measurement packet; calculating, by said tag or by any of said plurality of anchors or by a server connected to said plurality of anchors, the position of said tag.

The invention relates to a method for RTLS positioning of a tag with respect to a plurality of anchors, said plurality preferably comprising at least three anchors, wherein each of the anchors and the tag comprise wireless communication means for transmitting and receiving packets to and from the other ones of said plurality of anchors and said tag; said method comprising the steps of: for each respective of the anchors, controlling the tag and the respective anchor to perform two-way ranging, TWR, said TWR comprising at least the substeps of controlling one of the tag and the respective anchor to transmit one or more first measurement packets to the other one of the tag and the respective anchor, and controlling the other one of the tag and the respective anchor to, upon receipt of each respective of the first measurement packets, transmit a respective second measurement packet to the one of the tag and the respective anchor that transmitted the respective first measurement packet; calculating, by said tag or by any of said plurality of anchors or by a server connected to said plurality of anchors, the position of said tag.

A system for location of animals and/or objects in an environment includes a signal processing and signal generation system consisting of electromagnetic tags on animals (or other objects) in an environment (typically a three dimension outdoor natural environment) where the animals or objects are physically present at arbitrary locations, and an electro-magnetic signal generating, signal receiving, and signal processing system that can move through or in relation to the environment. The system can compute the location and identity of the animals or objects based on signals received from their associated tags, including the calculated location of the ID tags, which function as “Reader-Locators.” The calculated location is enhanced by information about the environment provided by maps, satellite photos, GPS, GIS and/or other data specific to the probability of the location of the animals or objects within certain regions of the environment. The system includes a physical and electromagnetic modeling operation that is interactive with the environmental information derived from the actual environment, either historically or in “real-time” as the monitoring process occurs.

A system for location of animals and/or objects in an environment includes a signal processing and signal generation system consisting of electromagnetic tags on animals (or other objects) in an environment (typically a three dimension outdoor natural environment) where the animals or objects are physically present at arbitrary locations, and an electro-magnetic signal generating, signal receiving, and signal processing system that can move through or in relation to the environment. The system can compute the location and identity of the animals or objects based on signals received from their associated tags, including the calculated location of the ID tags, which function as “Reader-Locators.” The calculated location is enhanced by information about the environment provided by maps, satellite photos, GPS, GIS and/or other data specific to the probability of the location of the animals or objects within certain regions of the environment. The system includes a physical and electromagnetic modeling operation that is interactive with the environmental information derived from the actual environment, either historically or in “real-time” as the monitoring process occurs.

Methods and apparatus for improving a procedure based upon wireless determination of a location of agents and equipment during a procedure and quantifying conditions in an environment via automated sensors. The present invention provides apparatus and methods for wireless designation of a position of agents and equipment relative to each other based upon wireless communications amongst multiple wireless transceivers combined with ongoing monitoring of conditions present in a facility. The transceivers may be portions of nodes, and nodes may form self-verifying arrays. A user interface may provide an augmented reality view of positions of all or some the providers and equipment and condition quantifying sensors.

A computer-implemented method for precision hyperbolic location fingerprinting, the method comprising, at a computing system, the steps of: (a) receiving measured RSSI values associated with a plurality of fixedly-positioned sensor devices, wherein the plurality of fixedly-positioned sensor devices are stationary in known locations in a 2D environment and caused to transit radio signals to each other and measure characteristics of the received radio signals; (b) generating a raw RSSI fingerprint for each sensor device based on the measured RSSI values; (c) generating a log-ratio RSSI fingerprint between a pair of sensor devices; (d) normalizing the raw RSSI fingerprint and normalizing the log-ratio RSSI fingerprint; (e) combining the raw RSSI fingerprint and the log-ratio RSSI fingerprint to form a fusion RSSI fingerprint; and (f) repeating steps (a) to (e) at predetermined intervals to enhance prediction accuracy of regional fingerprints within the environment.

A computer-implemented method for precision hyperbolic location fingerprinting, the method comprising, at a computing system, the steps of: (a) receiving measured RSSI values associated with a plurality of fixedly-positioned sensor devices, wherein the plurality of fixedly-positioned sensor devices are stationary in known locations in a 2D environment and caused to transit radio signals to each other and measure characteristics of the received radio signals; (b) generating a raw RSSI fingerprint for each sensor device based on the measured RSSI values; (c) generating a log-ratio RSSI fingerprint between a pair of sensor devices; (d) normalizing the raw RSSI fingerprint and normalizing the log-ratio RSSI fingerprint; (e) combining the raw RSSI fingerprint and the log-ratio RSSI fingerprint to form a fusion RSSI fingerprint; and (f) repeating steps (a) to (e) at predetermined intervals to enhance prediction accuracy of regional fingerprints within the environment.

A method (1) for passively locating a radio emission source (2a, 2b) is described. The method includes including receiving radio signal datasets (D) corresponding to each of three of more sensors (3). Each sensor (3) includes at least one radio receiver (4). The method also includes receiving or retrieving a physical location corresponding to each sensor (3). The physical locations define a convex hull (5). The method also includes determining whether an emitter signal (8) within a target frequency range is present in any of the radio signal datasets (D), and assigning any radio signal dataset which comprises the emitter signal as a detection dataset. The method also includes, in response to determining three or more detection datasets, calculating a signal location (r) based on arrival times of the emitter signal and the respective physical locations. The method also includes generating a locus of possible positions based on calculating two or more alternative signal locations. Each alternative signal location is calculated by adding synthetic noise to one or more of the detection datasets and repeating the calculations used to calculate the signal location. When the signal location is inside the convex hull, cluster filtering based on circles or spheres is applied. When the signal location is outside the convex hull, cluster filtering is based on ellipses or ellipsoids and on the locus of possible positions. The method also includes outputting one or more estimated radio emission source locations. Each estimated radio emission source location is determined based on a respective cluster of signal locations.

A method (1) for passively locating a radio emission source (2a, 2b) is described. The method includes including receiving radio signal datasets (D) corresponding to each of three of more sensors (3). Each sensor (3) includes at least one radio receiver (4). The method also includes receiving or retrieving a physical location corresponding to each sensor (3). The physical locations define a convex hull (5). The method also includes determining whether an emitter signal (8) within a target frequency range is present in any of the radio signal datasets (D), and assigning any radio signal dataset which comprises the emitter signal as a detection dataset. The method also includes, in response to determining three or more detection datasets, calculating a signal location (r) based on arrival times of the emitter signal and the respective physical locations. The method also includes generating a locus of possible positions based on calculating two or more alternative signal locations. Each alternative signal location is calculated by adding synthetic noise to one or more of the detection datasets and repeating the calculations used to calculate the signal location. When the signal location is inside the convex hull, cluster filtering based on circles or spheres is applied. When the signal location is outside the convex hull, cluster filtering is based on ellipses or ellipsoids and on the locus of possible positions. The method also includes outputting one or more estimated radio emission source locations. Each estimated radio emission source location is determined based on a respective cluster of signal locations.

Methods and systems for wireless communication are provided. In one example, a mobile device is configured to: obtain beam support information of a plurality of cells; perform measurements of one or more signals at the mobile device based on the beam support information of the plurality of cells to support a location determination operation for the mobile device; and transmit results of the measurements of the one or more signals to at least one of a location server or to a base station to support the location determination operation. The beam support information may include: a number of beams supported at each cell of the plurality of cells, information to identify each beam of the number of beams supported at the each cell, beam width information of the each beam, and/or Positioning reference Signals (PRS) codebook information which encapsulates the beams which are enabled along various elevation and azimuth angles.