Patent classifications
G01S5/0242
Systems and methods for determining locations of access points
A system may be configured to identify from among a plurality of access points in an area in communication with a network, a first access point associated with the area. In addition the system may also be configured to determine first location-related data for the first access point. Determining second location-related data for a second access point of the plurality of access points, the second access point being interior to the first access point within the network includes exchanging ranging data indicative of a first relative distance between the first access point and the second access point, the ranging data based at least in part on ranging message exchange measurements, and communicating the first location-related data from the first access point to the second access point.
OBJECT POSITION-MEASURING DEVICE, METHOD, AND SYSTEM
An object position-measuring device, a method thereof, and a system thereof are proposed. The object position-measuring device, method thereof, and system thereof are for measuring a position of an object by using a plurality of wireless signals indoors. In the object position-measuring device, method thereof, and system thereof, respective distances from the position-measuring device and first and second wireless communication devices to the object are calculated by using respective travel times of the wireless signals respectively transmitted from the position-measuring device and the first and second wireless communication devices and the wireless signals received after being reflected from the object, whereby the position of the object is measured by using the calculated distances.
Device detection and locationing within a wireless network
Technologies directed to device detection and locationing are described. One method includes establishing a first wireless connection between a first wireless device and a second wireless device on a first channel. The first wireless device sends to the second wireless device a first indication that the first wireless device is to operate in an off-channel mode with a third wireless device at a first location a Fine Timing Measurement (FTM) procedure. The first wireless device performs a first FTM process between the first wireless device and the third wireless device. The first device determines first timing data including a signal round trip time (RRT) associated with the first FTM process and determines a first distance between the first wireless device and the third wireless device based on the first timing data. A second location of the first wireless device is determined using the first distance.
Autonomous deployment of stationary transceiver devices
A transceiver system includes one or more groups of transceivers. The locations of the transceivers are initially unknown. During deployment, the location of each transceiver in the group is automatically estimated by the remaining transceivers in the group. Once the locations of the transceivers in the group are estimated, deployment of the transceivers is complete. The transceivers may estimate location attributes of mobile transceivers within a vicinity of the transceivers in the group.
METHOD AND APPARATUS FOR PROVIDING UPLINK SIGNAL-BASED LOCATION SERVICE
The present disclosure relates to a pre-5.sup.th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4.sup.th-Generation (4G) communication system such as Long Term Evolution (LTE). A wireless communication system is provided. The wireless communication system includes a location management function (LMF) that may efficiently determine and provide information necessary for a base station to configure a sounding reference signal (SRS) transmission resource required for a terminal.
TRAVERSABLE NETWORK-AWARE RADIO MODELING
A processor obtains a plurality of instances of access point observation information. Each instance of access point observation information comprises (a) radio observation information corresponding to observation of one or more access points by a respective mobile device and (b) location information comprising an indication of a location of the respective mobile device when the respective mobile device observed the one or more access points. For one or more instances of access point observation information, based at least on the location information of the instance and a digital map that is accessible to the at least one processor, the process identifies a respective (TME) of the digital map that represents a portion of a traversable network where the mobile device was located when the mobile device observed the one or more access points; and associates at least a portion of the radio observation information with the respective TME.
DEVELOPING A FINGERPRINT MAP FOR DETERMINING AN INDOOR LOCATION OF A WIRELESS DEVICE
Techniques are described herein for developing a fingerprint map that may be used for 3D indoor localization. In one example, a network server may leverage a building footprint from an open source database with signal measurements taken by probing user devices from signal sources such as access point (AP) devices. The network server may use the signal measurements to remotely calculate corresponding 3D positions of the AP devices in a particular building. Further, the network server may use the building footprint and the calculated 3D positions of the AP devices as references for developing the fingerprint map for 3D indoor localization.
MACHINE LEARNING TECHNIQUES FOR PRECISE POSITION DETERMINATION
Systems, methods, computer program products, and apparatuses to determine, by a neural network based on training data related to wireless signals exchanged by a device and a plurality of wireless access points in an environment, a respective distance between the device and each wireless access point, receive location data related to a respective location of each wireless access point of the plurality of wireless access points, determine a geometric cost of the neural network based on a geometric cost function, the respective distances, and the received location data, and train a plurality of values of the neural network based on a backpropagation and the determined geometric cost.
Developing a fingerprint map for determining an indoor location of a wireless device
Techniques are described herein for developing a fingerprint map that may be used for 3D indoor localization. In one example, a network server may leverage a building footprint from an open source database with signal measurements taken by probing user devices from signal sources such as access point (AP) devices. The network server may use the signal measurements to remotely calculate corresponding 3D positions of the AP devices in a particular building. Further, the network server may use the building footprint and the calculated 3D positions of the AP devices as references for developing the fingerprint map for 3D indoor localization.
SYSTEMS AND METHODS FOR DETERMINING LOCATIONS OF ACCESS POINTS
Systems, methods, and computer-readable media may determine location-related data for a plurality of access points located in an area in communication with a network by determining that a plurality of access points in a network are associated with a same geographical area including identifying, from among the plurality of access points, a first access point associated with the geographical area, determining first location-related data for the first access point, determining second location-related data for a second access point of the plurality of access points, the second access point being interior to the first access point within the network based at least in part on a determination that the second access point has at least a threshold number of the neighbor access points, and exchanging ranging data indicative of a first relative distance between the first access point and the second access point, the ranging data based at least in part on ranging message exchange measurements.