Disclosed in the present application are an information transmission method and device, for use in implementing integrity monitoring of a downlink 3GPP RAT-dependent positioning network, so as to eliminate the influence of factors such as time offset of a base station, transmitter failure of the base station, a multipath channel, and a non-line-of-sight path channel. The information transmission method provided by the present application comprises: obtaining downlink positioning reference signal (PRS) parameter configuration information; measuring a downlink PRS from a base station on the basis of the downlink PRS parameter configuration information, and generating an error correction parameter ECP; and sending the ECP.

Positioning of one or more user equipments (UEs) is performed using broadcast common sounding reference signals (SRS) resources for positioning. The common SRS that is broadcast by a UE is received and measured by one or more base stations and one or more other UEs. The other UEs may have known positions and may server as anchor nodes for positioning. The other UEs may have known positions and may serve as a positioning (anchor) node or may have unknown positions and may be jointly positioned with the target UE. During joint positioning, each of the other UEs may similarly broadcast a common set of SRS that is received and measured by the base stations and other UEs for positioning. An angular measurement of the SRS broadcast by one or more UEs may be measured and used to resolve mirror symmetry in positioning solutions.

A mobile robot is configured for operation in a commercial or industrial setting, such as an office building or retail store. The robot can patrol one or more routes within a building, and can detect violations of security policies by objects, building infrastructure and security systems, or individuals. In response to the detected violations, the robot can perform one or more security operations. The robot can include a removable fabric panel, enabling sensors within the robot body to capture signals that propagate through the fabric. In addition, the robot can scan RFID tags of objects within an area, for instance coupled to store inventory. Likewise, the robot can generate or update one or more semantic maps for use by the robot in navigating an area and for measuring compliance with security policies.

Methods, computer program products, and systems can include, for example: receiving a plurality of signal instances of a signal emitted by a transmitter, wherein respective signal instances of the plurality of signal instances are collected at different positions. There is also set forth herein receiving by a movable receiver moving within a first location a plurality of signal instances of a signal emitted by a transmitter, wherein signal instances defining the plurality of signal instances are collected by the moveable receiver at different respective receiver positions within the first location. There is also set forth herein discovering a direction of arrival parameter value that specifies a direction of arrival of the signal emitted by the transmitter, wherein the discovering includes using a set of signal instances from the plurality of signal instances.

A device (10) is placed on an object (30). A reference feature of the object (30) is aligned with a reference feature of the device (10). Based on signals transmitted between at least one measurement point of the device (10) and a further device (20), a position of the at least one measurement point is measured. The position of the object (30) is then determined based on the measured position of the at least one measurement point and based on information on arrangement of the at least one measurement point in relation to the reference feature of the device (10).

A method in a measuring station is described. The method includes determining a plurality of Time of Flights (TOFs) corresponding to plurality of beacons and determining an overall circular error probability ellipse (CEP) based at least in part upon a plurality of times of departure and a corresponding plurality of measuring station positions for each TOF. The method further includes determining at least one individual CEP of a plurality of individual CEPs if at least one of a predetermined time has elapsed and the measuring station has travelled a predetermined distance and determining a merged CEP, where the merged CEP includes the plurality of individual CEPs. Further, the merged CEP is determined to be a better CEP if the merged CEP is more consistent with the plurality of individual CEPs than with the overall CEP. The better CEP is usable to determine a location of a wireless device.

The present disclosure relates to determining proximity in a smart car system, and a method for operating a vehicle system comprises the steps of: receiving at least one signal transmitted by a user apparatus; transmitting measurement data for the at least one signal to a management apparatus; and receiving updated mapping data from the management apparatus for the measurement data and proximity data.

First information is obtained from a sensing device at a first time. The first information corresponds to a radio signal received at the device from a candidate location. The device is at a first location at the first time. Second information is obtained from the device at a second time. The second information corresponds to a radio signal received at the device from the candidate location. The device is at a second location at the second time. A system determines that a pattern is in each of the first and second information and determines relationships between the candidate location and the device at each first and second location. The system obtains inverses of the relationships and determines estimates of the received radio signals based on the information and inverses. The system measures or estimates energy emitted from the candidate location based on the estimates.

Disclosed herein A UAV and/or UAV operator detector (1) configured to be mounted to an aircraft (2). The detector comprises an array of multiple Directional Radio Frequency (RF) antennae spaced apart from one another over two or three dimensions.

In a system for determining a location of an emitter, a mobile frame is configured for movement relative to the emitter. A main receiver and a frequency mixing antenna are supported on the mobile frame at different locations on the frame but so that both move with the frame relative to the emitter. The frequency mixing antenna is configured to receive an emitter signal and output a frequency-mixed signal. The main receiver is configured to directly receive the emitter signal and receive the frequency-mixed signal. A processor is configured to determine a first Doppler frequency from the direct emitter signal and a second Doppler frequency from the frequency-mixed signal and to determine the location of the emitter in a defined search area based on the first and second Doppler frequencies. Multiple Doppler frequencies can be created also using multiple frequency mixing antennas to improve the localization resolution.