Patent classifications
G01S5/0215
METHOD FOR GEOLOCATING INTERFERENCE SOURCE IN COMMUNICATION-BASED TRANSPORT SYSTEM
A method for geolocating an interference source in a communication-based transport system, wherein the communication-based transport system comprises: —a plurality of interference sources, distributed in a space and respectively emitting signal, —a vehicle, moving along a known trajectory, receiving the signal from the interference sources, and measuring the signal strength of the signal of only one interference source at a time instance; the method comprising: —separating the interference sources by clustering the signal strength of the signal with a clustering method; —estimating the locations of the interference sources in the space based on the separated interference sources.
ESTIMATING DIRECTION OF ARRIVAL OF ELECTROMAGNETIC ENERGY USING MACHINE LEARNING
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for positioning a radio signal receiver at a first location within a three dimensional space; positioning a transmitter at a second location within the three dimensional space; transmitting a transmission signal from the transmitter to the radio signal receiver; processing, using a machine-learning network, one or more parameters of the transmission signal received at the radio signal receiver; in response to the processing, obtaining, from the machine-learning network, a prediction corresponding to a direction of arrival of the transmission signal transmitted by the transmitter; computing an error term by comparing the prediction to a set of ground truths; and updating the machine-learning network based on the error term.
SECURITY TECHNIQUES FOR RANGING IN WIRELESS NETWORKS
Methods, systems, and devices for wireless communication are described to support security techniques for ranging in wireless networks. A first device may transmit an indication to initiate a ranging procedure with a second device, and in response to the indication, the second device may transmit signaling to the first device and to one or more third devices. The first device and the one or more third devices may each determine a respective location metric associated with the second device based on the signaling. The one or more third devices may each transmit, to the first device, the respective location metric. Based on the communicated location metric(s), the first device may determine whether an eavesdropper is present and may communicate with the second device based on the determination.
SYSTEM AND METHOD FOR DISTRIBUTED SENSOR SYSTEM FOR OBJECT LOCATIONING
An apparatus for generating a mosaic for a wireless communication system. The apparatus includes memory and a server. The server is programmed to receive first information from an associated access point that is indicative of a first receiver time stamp and a second receiver time stamp. The server is further programmed to determine a first difference between the first receiver time stamp and the second receiver time stamp to generate a first difference value and to receive second information that is indicative of a third receiver time stamp and a fourth receiver time stamp. The server is further programmed to determine a second difference and to generate a second difference value. The server is further programmed to determine that packets as transmitted by the mobile device are the same based on the first difference value and the second difference value being within a predetermined receiver time error range.
UNSUPERVISED LOCATION ESTIMATION AND MAPPING BASED ON MULTIPATH MEASUREMENTS
Certain aspects of the present disclosure provide methods, apparatus, and systems for predicting a location of a device in a spatial environment using a machine learning model. An example method generally includes measuring a plurality of signals received from a network entity at a device. A channel state information (CSI) measurement is generated from the measured plurality of signals. Generally, the CSI measurement includes a multipath component. Positions of one or more anchors in a spatial environment are identified based on a machine learning model trained to identify the positions of the one or more anchors based on the CSI measurement. A location of the device is estimated based on the identified positions of the one or more anchors.
SYSTEMS AND METHODS FOR TRACKING ITEMS
An example system includes a first beacon configured to communicate a first wireless signal. A first hub is in communication with the first beacon. The first hub is configured to detect a first signal strength of the first wireless signal. The example system further includes a second hub in communication with the first beacon. The second hub is configured to detect a second signal strength of the first wireless signal. The example system further includes a computing system in communication with the first hub and the second hub. The computing system includes a noise filter and a beacon assignor. The noise filter includes a quadratic estimator configured to output a first estimated distance between the first beacon and the first hub, output a second estimated distance between the first beacon and the second hub, and disregard a third estimated distance between the first beacon and the first hub if the third estimated distance is derived from a ghost signal. The beacon assignor is configured to assign the first beacon to the first hub if the first estimated distance is less than the second estimated distance.
SYSTEMS AND METHODS FOR POSITIONING ASSETS OVER A WIRELESS NETWORK
Systems and methods for positioning assets over a wireless network are provided. In one embodiment, the method comprises: building, at a topology entity communicatively coupled to a wireless network a low-resolution spatial topology of said wireless network; selecting a list of a plurality of participating anchors for participating in a plurality of ranging events with a participating tag positionally associated with a designated asset; sending to the participating tag and to each of the participating anchors, an indication that a plurality of ranging events is to be executed therebetween; and executing, between the participating tag and each of the participating anchors, a ranging event of said plurality of ranging events; and computing, at a positioning engine a position of the participating tag and the designated asset based on a ranging information generated by the plurality of ranging events.
Radio-frequency localization techniques and associated systems, devices, and methods
A system comprising synchronization circuitry, a first interrogator, and a second interrogator. The first interrogator includes a transmit antenna; a first receive antenna, and circuitry configured to generate, using radio-frequency (RF) signal synthesis information received from the synchronization circuitry, a first RF signal for transmission by the transmit antenna, and generate, using the first RF signal and a second RF signal received from a target device by the first receive antenna, a first mixed RF signal indicative of a distance between the first interrogator and the target device. The second interrogator includes a second receive antenna, and circuitry configured to generate, using the RF signal synthesis information, a third RF signal; and generate, using the third RF signal and a fourth RF signal received from the target device by the second receive antenna, a second mixed RF signal indicative of a distance between the second interrogator and the target device.
Method and system for radiofrequency localization of transmitting devices via a mesh network
A method including, at each node in each pair of nodes in a network: transmitting an outbound synchronization signal; generating a self-receive signal based on the outbound synchronization signal; detecting the self-receive signal at a self-receive TOA; detecting an inbound synchronization signal; based on the pair of self-receive TOAs and the pair of synchronization TOAs, for each pair of nodes in the network: calculating a pairwise time offset and distance; for each node in the network: based on the set of pairwise distances, calculating a location and a time bias of the node. The method also includes: at each node in the network, detecting a localization signal, transmitted by a device, at a localization TOA; and calculating a location of the device based on, for each node in the network, the localization signal detected at the node, and the time bias and the relative location of the node.
POSITIONING METHOD AND APPARATUS
This application provides a positioning method and apparatus. The method includes: obtaining, by a positioning apparatus, information about a transmission environment of each channel in a plurality of channels for a terminal device; determining, by the positioning apparatus, a target channel from the plurality of channels based on the information about the transmission environment of each channel; and locating, by the positioning apparatus, the terminal device based on positioning measurement information of the target channel. The positioning method and apparatus provided in this application helps improve positioning accuracy.