The navigation solution of a portable device may be enhanced using map information. Sensor data for the portable device may be used to derive navigation solutions at a plurality of epochs over a first period of time. Position information for the device may be estimated at a time subsequent to the first period of time using the navigation solutions. Map information for an area encompassing a current location of the portable device may also be obtained. Multiple hypotheses regarding possible positions of the portable device may be generated using the estimated position information and the map information. By managing and processing the hypotheses, estimated position information for at least one epoch during the first period of time may be updated. An enhanced navigation solution for the at least one epoch may be provided using the updated estimated position information and an uncertainty measure may be derived for the enhanced navigation solution.

Described herein are different distributed sensor network models, use cases, and details of the components of each model to achieve the goal of monitoring, detecting, tracking, and mitigating a target(s) such as a signal, an object, a phenomenon, etc. An independent sensor or a local sensor network may supply data to one or more fusion center(s) that collect(s) data and perform(s) higher logic to enhance system performance. A local sensor network allows independent sensors or other local sensor networks to merge into the local sensor network. A sensor cloud can be formed by multiple local sensor networks and independent sensors. By using different distribution models, the local sensor network can provide protection for various targets like Very Important Personnel (VIP) vehicles, lands, facilities, and cities.

Systems and methods for inertial navigation aided by signals of opportunity (SOOP). One system includes a network operations center (NOC), a reference station, and mobile user equipment. Another system includes a NOC and user equipment without a reference station. In the latter system, the NOC comprises an antenna, a NOC receiver that generates SOOP data derived from SOOP, a computer system that generates SOOP source location/ephemeris data and inter-source clock bias data based on SOOP data generated by the NOC receiver, and a communication device to broadcast the data. The user equipment comprises an antenna, a navigation receiver that generates SOOP data derived from SOOP detected by the antenna of the user equipment, and a navigation computer system that calculates a navigation solution, including a SOOP-derived estimated position of the user equipment, based on SOOP source location/ephemeris data and inter-source clock bias data broadcasted by the NOC and SOOP data generated by the navigation receiver.

A method and a safety system for localizing at least two objects with varying locations, having at least one control and evaluation unit, having at least one radio location system, wherein the radio location system has at least three arranged radio stations, wherein at least one respective radio transponder is arranged at the objects, wherein first objects are persons and second objects are mobile objects, wherein the radio transponders have identification, wherein a respective radio transponder is at least associated with either a respective person or a mobile object, whereby the control and evaluation unit is configured to distinguish the persons and mobile objects, and wherein the control and evaluation unit is configured to associate a risk classification with each person at least in dependence on the position of the person with respect to at least one mobile object.

A method, performed by a first electronic device, of performing ultra-wideband (UWB)-based communication with one or more electronic devices, is provided. The method includes determining first location information associated with a target point, based on an optical sensor and gradient information of the first electronic device, determining second location information associated with a second electronic device, based on the determined first location information and a UWB signal, determining third location information indicating a location of the target point relative to the second electronic device, based on the determined first location information and the determined second location information, and transmitting the determined third location information to the second electronic device so that the second electronic device performs an operation associated with the target point.

A network element estimates a position of a user equipment served by a first network and a second network. At the network element, at least one memory and computer program code are configured to, with at least one processor, cause the network element to: determine first position measurement information for the user equipment in the first network; obtain position assistance data associated with the second network, the position assistance data including at least second position measurement information for the user equipment in the second network; obtain frequency offset information and time offset information for transmissions in the first network and transmissions in the second network; and estimate a position of the user equipment based on the first position measurement information, the second position measurement information, the frequency offset information and the time offset information.

Disclosed are a positioning method in a wireless communication system, and a device for supporting same.

Systems and methods for determining user equipment (UE) locations within a wireless network using reference signals of the wireless network are described. The disclosed systems and methods utilize a plurality of in-phase and quadrature (I/Q) samples generated from signals provided by receive channels associated with two or more antennas of the wireless system. Based on received reference signal parameters the reference signal within the signals from each receive channel among the receive channels is identified. Based on the identified reference signal from each receive channel, an angle of arrival between a baseline of the two or more antennas and incident energy from the UE to the two or more antennas is determined. That angle of arrival is then used to calculate the location of the UE. The angle of arrival may be a horizontal angle of arrival and/or a vertical angle of arrival.

Described herein are different distributed sensor network models, use cases, and details of the components of each model to achieve the goal of monitoring, detecting, tracking, and mitigating a target(s) such as a signal, an object, a phenomenon, etc. An independent sensor or a local sensor network may supply data to one or more fusion center(s) that collect(s) data and perform(s) higher logic to enhance system performance. A local sensor network allows independent sensors or other local sensor networks to merge into the local sensor network. A sensor cloud can be formed by multiple local sensor networks and independent sensors. By using different distribution models, the local sensor network can provide protection for various targets like Very Important Personnel (VIP) vehicles, lands, facilities, and cities.

Techniques are provided for validating a mobile device in a passive digital key system. An example method of validating a mobile device includes determining a positioning measurement for the mobile device relative to a reference point, obtaining a measured distance with at least a first transceiver, obtaining a calibration distance based at least in part on the positioning measurement for the mobile device, computing a validation distance based at least in part on a difference between the measured distance and the calibration distance, and validating the mobile device based at least in part on a comparison of the validation distance and a threshold value.