A method of accurate 3D positioning with reduced cost is proposed. A user equipment (UE) receives a plurality of positioning reference signals (PRSs) from a plurality of base stations. The plurality of base stations includes a serving base station and two neighboring base stations. The UE estimates a plurality of line-of-sight (LOS) paths and corresponding indexes of the PRSs for time of arrival (TOA) and time difference of arrival (TDOA) measurements. The UE then estimates an elevation angle of the UE based on the estimated LOS paths of the PRS from the serving base station. Finally, the system (either UE or network, depending on where the coordinates are) can calculate the UE position based on the TDOA measurements and the elevation angle.

Systems and methods for improved location accuracy are provided. For example, some systems can include a location engine, and a plurality of location anchors. In some embodiments, each of the plurality of location anchors can transmit or receive signals to or from an object for determining an angular orientation of the object with respect to the plurality of location anchors, and based on the angular orientation, the location engine can estimate a location of the object. In some embodiments, each of the plurality of location anchors can transmit first signals to the location engine, the location engine can receive a second signal from an object, based on the first signals and the second signal, the location engine can determine a differential pressure between the plurality of location anchors and the object, and based on the differential pressure, the location engine can estimate an altitude of the object.

A system and method for determining the location of nodes within a network. Beamforming coefficients associated with signals transmitted from a first node to a second node are determined and, based on the beamforming coefficients, direction is determined between the first and second nodes. Distance is determined as a function of direction and the location of the second node is determined as a function of distance and direction.

A system and method for determining the location of nodes within a network. Beamforming coefficients associated with signals transmitted from a first node to a second node are determined and, based on the beamforming coefficients, direction is determined between the first and second nodes. Distance is determined as a function of direction and the location of the second node is determined as a function of distance and direction.

Systems, methods, apparatuses and computer-readable storage media for navigating an unmanned aerial vehicle (UAV) using signals of opportunity are disclosed. The UAV may include a receiver for detecting a plurality of signals at two or more receiver elements. The UAV may estimate an angle of arrival (AoA) for at least two signals of the plurality of signals, and may estimate a position of the receiver based, at least in part, on the AoA for each of the at least two signals. Known locations of the transmitters that are transmitting the at least two signals may be used in conjunction with the AoAs to determine the estimate of the position of the receiver. More than two signals may be used to localize the estimated position of the receiver.

A method for determining a FDOA of a pulsed waveform received by two sensors includes obtaining a respective plurality of in-phase and quadrature-phase (IQ) samples indicative of a pulse envelope of the received pulsed waveform. The method includes determining a TDOA responsive to a leading edge of a pulse of the pulsed waveform and obtaining a first cross correlation of IQ samples at a delay (d.sub.c) closest to the TDOA, and respective second and third cross correlations at least one additional delay (d.sub.c+1 and d.sub.c1) on either side of the closest delay. The method includes refining the approximation of the TDOA according to an interpolation of amplitudes of the cross-correlation and determining a respective rate of change of cross-correlation phase (). The method includes approximating a straight line fit to the rates of change of cross-correlation phase (d/dt), the slope of the straight line representative of the FDOA.

A method for determining a FDOA of a pulsed waveform received by two sensors includes obtaining a respective plurality of in-phase and quadrature-phase (IQ) samples indicative of a pulse envelope of the received pulsed waveform. The method includes determining a TDOA responsive to a leading edge of a pulse of the pulsed waveform and obtaining a first cross correlation of IQ samples at a delay (d.sub.c) closest to the TDOA, and respective second and third cross correlations at least one additional delay (d.sub.c+1 and d.sub.c1) on either side of the closest delay. The method includes refining the approximation of the TDOA according to an interpolation of amplitudes of the cross-correlation and determining a respective rate of change of cross-correlation phase (). The method includes approximating a straight line fit to the rates of change of cross-correlation phase (d/dt), the slope of the straight line representative of the FDOA.

There are provided a method of locating a transmitting source in multipath environment and system thereof. The method comprises: obtaining, by each receiver k of a plurality of spatially separated receivers, a sequence of samples of a signal received by the receiver, each sample respectively associated with a time of obtaining said sample, wherein one or more receivers m among the plurality of receivers k each obtain a respective sequence of samples over a plurality of different positions along a respective trajectory r(t) with respect to the site associated with the respective receiver m; and processing the obtained sequences of samples to identify the most likely location of the transmitting source. Optionally, most likely location can be estimated using a grid of potential locations within an area of interest.

A position detection system includes a mobile body including a first atmospheric pressure sensor, a fixed station including a second atmospheric pressure sensor, and a distance measurement sensor that measures a distance between the mobile body and the fixed station. A position of the mobile body is determined on a basis of height information, obtained from an output of the first atmospheric pressure sensor and an output of the second atmospheric pressure sensor, and the distance.

The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.

A method and apparatus for estimating a location in a terminal are provided. The method includes calculating locations of the terminal and a tag, calculating information about movement of the terminal using a motion sensor, and correcting the calculated location of the tag based on information about the movement of the terminal.