A method for determining geo-position of a target by an aircraft includes: receiving navigation data related to the aircraft including aircraft attitude information; receiving multilateration information related to the target including an angle to the target; calculating an axis for a cone fixed to the aircraft, based on the received aircraft attitude information; calculating a central angle for the cone from the received angle to the target; generating two vectors orthogonal to the cone axis; calculating a cone model from the axis, the central angle and the two vectors; and intersecting the cone model with an earth model to obtain a LEP curve, wherein the LEP curve is used to determine the geo position of the target.

An illustrative embodiment disclosed herein is a method, by a satellite, including sending a downlink signal to a first endpoint and a second endpoint at a first time and receiving a first uplink signal from the first endpoint at a second time. The second time is based on a first delay value calculated by the first endpoint. The method further includes receiving a second uplink signal from the second endpoint at a third time. The third time is based on a second delay value calculated by the second endpoint. The method further includes calculating the first delay value and the second delay value based on one or more identifiers of the first endpoint and the second endpoint, respectively, and an algorithm and determining a first distance between the satellite and the first endpoint and a second distance between the satellite and the second endpoint.

An illustrative embodiment disclosed herein is a method including estimating, by an endpoint, a first rate of change of a Doppler frequency offset during a downlink reception from a satellite associated with the Doppler frequency offset and applying, by the endpoint, a second rate of change of the Doppler frequency offset to an uplink transmission to the satellite. The second rate of change of the Doppler frequency offset compensates the first rate of change of the Doppler frequency offset.

A detection device includes a receiver, an inertial-measurement-unit, an electronic-compass, and a controller-circuit. The receiver determines intensity of a homing-signal transmitted from a vehicle and received at the device. The inertial-measurement-unit determines a distance the device is moved. The electronic-compass determines a heading in which the device is moving. The controller-circuit is in communication with the receiver, the inertial-measurement-unit, and the electronic-compass. The controller-circuit determines a first-range between a first-position of the device and the vehicle. The controller-circuit determines that that the device has moved to a second-position based on a first-distance and a first-heading. The controller-circuit determines a second-range between the second-position and the vehicle. The controller-circuit determines that the device has moved to a third-position based on a second-distance and a second-heading. The controller-circuit determines a third-range between the third-position and the vehicle. The controller-circuit determines a travel-distance and a travel-direction from the device to the vehicle.

A method for estimating location of an electronic device is provided. The method includes collecting from a transmitter, transmitter information including time information that is proportional to distance between the electronic device and the transmitter; obtaining location information of the electronic device at a point where the transmitter information is collected; and transmitting the transmitter information and the location information to a server to be used to estimate the location of the transmitter.

A method for X2 interface communication is disclosed, comprising: at an X2 gateway for communicating with, and coupled to, a first and a second radio access network (RAN), receiving messages from the first RAN according to a first X2 protocol and mapping the received messages to a second X2 protocol for transmission to the second RAN; maintaining state of one of the first RAN or the second RAN at the X2 gateway; executing executable code received at an interpreter at the X2 gateway as part of the received messages; altering the maintained state based on the executed executable code; and receiving and decoding an initial X2 message from the first RAN; identifying specific strings in the initial X2 message; matching the identified specific strings in a database of stored scripts; and performing a transformation on the initial X2 message, the transformation being retrieved from the database for stored scripts, the stored scripts being transformations.

The present invention relates to a method to improve the precision of a position information of a roadside unit (RSU), the RSU at least comprising a data communication unit, a memory unit and a processor unit, wherein a saved RSU position is saved in the memory unit as position information of the RSU. Further, the present invention relates to a roadside unit (RSU), at least comprising a data communication unit, a memory unit and a processor unit. In addition, the present invention relates to a system to provide position information in an area, preferably in respect of an advanced driver assistant system (ADAS) and/or autonomous driving.

A method is disclosed that relates to estimating the temporal location of mobile ground based Wi-Fi stations by monitoring a multitude of ground based access points, using an airborne Wi-Fi monitoring device. The airborne monitoring station first identifies and locates ground based access points within the area of interest. The airborne monitoring station monitors the transmission of the ground based stations and access points in the said networks, in particular the probe response management frames, recording the access point and station addresses and the time of reception. The transmissions contain an address of a corresponding ground-based access point and the address of the ground-based mobile station. The airborne monitoring station then matches all the times of the probe responses corresponding to the each station address and together with the location of the access points computes the likely temporal track for each station.

A method in a movable device for locating or positioning of the movable device within an environment comprises: receiving, from an external unit, a central environment model; determining distance-dependent measurements for one or more positions of the movable device; determining a location of the movable device based on the received central environment model and the determined distance-dependent measurements, said determining comprising: forming a local environment model defining estimated locations of the wireless transmission sources and of the one or more positions of the movable device, wherein the estimated locations of the wireless transmission sources in the local environment model are updated in relation to the central environment model, wherein the updated estimated locations of the wireless transmission sources and the estimated locations of the one or more positions of the movable device are set based on a calculated error of the local environment model in relation to the determined distance-dependent measurements.

First information corresponding to a radio signal received at a first sensing device from a candidate location is obtained. Second information corresponding to a radio signal received at a second sensing device from the candidate location is obtained. A first relationship between the first sensing device and the candidate location and a second relationship between the second sensing device and the candidate location are determined. A first inverse and a second inverse of respectively the first and second relationships are obtained. A first estimate of the radio signal at the first sensing device is determined from the first information and the first inverse. A second estimate of the radio signal at the second sensing device is determined from the second information and the second inverse. Energy emitted from the candidate location is measured based on the first estimate and the second estimate.