An illustrative UE locator system determines a time measurement indicative of a signal travel time between a UE device and an access point device. The signal travel time corresponds to an apparent distance, presuming a line-of-sight (LoS) signal travel path, between a location of the UE device and a location of the access point device. The UE locator system also accesses, from a bias suppression datastore, bias suppression data configured for use in suppressing an influence of a bias between the apparent distance and a true distance between the location of the UE device and the location of the access point device. The bias is associated with a non-line-of-sight (NLoS) signal travel path between the UE device and the access point device. Based on the time measurement and the bias suppression data, the UE locator system estimates the location of the UE device. Corresponding methods and systems are also disclosed.

An apparatus, method and computer program for a mobile transceiver and for a base station transceiver. The method includes receiving a downlink signal from a base station transceiver of the mobile communication system via a downlink data channel, identifying a line of sight component of at least the first positioning symbol of the downlink signal based on the one or more sequences of zero-value samples and determining information related to a location of the mobile transceiver based on the one or more non-zero-value samples received within the line of sight component of the first positioning symbol. The downlink signal includes one or more positioning symbols having a first positioning symbol, wherein the first positioning symbol is based on samples in a time domain to be transmitted by the base station transceiver.

Disclosed are techniques for handling of radio frequency front-end group delays (GDs) for round trip time (RTT) estimation. In an aspect, a network entity determines information indicating a network total GD and a user equipment (UE) determines information indicating a UE total GD. The network entity transmits one or more RTT measurement (RTTM) signals to the UE, each including a RTTM waveform. The UE determines one or more one or more RTT response (RTTR) payloads for one or more RTTR signals, each including a RTTR waveform. The UE transmits the RTTR signal(s) to the network entity. For each RTTR signal, a transmission time of the RTTR waveform and/or the RTTR payload is/are determined based on the UE total GD. The network entity determines a RTT between the UE and the network entity based on the RTTM signal(s), the RTTR signal(s), and the information indicating the network total GD.

An indoor positioning method includes: receiving a first measurement parameter obtained by a first device by measuring a second device in a first coordinate system, where the first measurement parameter includes a first angle and a first distance, the first angle is an angle of the second device in the first coordinate system, and the first distance is a distance of the second device relative to an origin of coordinates of the first coordinate system; determining a first spatial position of the second device in the first coordinate system based on the first angle and the first distance; and determining a spatial position of the second device in a geodetic coordinate system based on the first spatial position and a conversion relationship between the first coordinate system and the geodetic coordinate system.

Disclosed are techniques for determining a line-of-sight (LOS) path between a transmitter and a wireless device in a wireless communications network. In an aspect, a wireless device receives, from the transmitter, a first reference signal transmitted on a first antenna port and a second reference signal transmitted on a second antenna port, the first reference signal having a first polarization and the second reference signal having a second polarization with known difference (e.g., perpendicular) to the first polarization, compares multi-path channels estimated from reception of the first reference signal and the second reference signal to multi-path channels expected from the first reference signal and the second reference signal when transmitted along the LOS path between the transmitter and the wireless device, and determines which path (if any) of the multi-path channels corresponds to the LOS path between the transmitter and the wireless device.

A method includes: receiving a ranging signal from the transmitter comprising a set of multiplexed sub-signals, each multiplexed sub-signal characterized by a frequency in a set of frequencies; calculating a time-based time-of-arrival estimate based on the series of time-domain samples of the ranging signal; calculating a time-based uncertainty of the time-based time-of-arrival; for each sub-signal pair in a subset of multiplexed sub-signals of the set of multiplexed sub-signals, extracting a phase difference of the sub-signal pair; calculating a phase-based time-of-arrival estimate based on the phase difference of each sub-signal pair in the subset of multiplexed sub-signals; calculating a phase-based uncertainty of the phase-based time-of-arrival estimate; and calculating a hybrid time-of-arrival estimate as a weighted combination of the time-based time-of-arrival estimate, the phase-based time-of-arrival estimate, based on the time-based uncertainty and the phase-based uncertainty.

Positioning methods suitable for use in a wireless network that utilizes beamformed communication are disclosed. In an aspect, a range and/or granularity for reporting a reference signal timing difference (RSTD) may be configurable according to one or more beam parameters (e.g., a repetition factor, a beam shape, a frequency band, a subcarrier spacing numerology, a cyclic prefix, etc.). In another aspect, a transmitting node may transmit one or more parameters associated with a beam used to transmit a positioning reference signal (e.g., an angle of departure, a zenith of departure, a beamwidth, etc.). According to another aspect, a cyclic prefix length for a positioning reference signal that a transmitting node transmits via one or more beams may be configured to increase a number of neighbor cells visible to a receiving node.

The present invention relates to a geolocation system and method for a multi-path environment. The geolocation system comprises one or more emitters (201a . . . 201n), one or more sensors (202a . . . 202n) comprising at least one processor. A first processor (204) estimates angle of arrival (AOA) and time of arrival (TOA) from the signals received from said one or more emitters (201a . . . 201n). A second processor (205) determines clusters based on the (AOA) and (TOA) data. The system also comprises a central node (207) in communication with at least one sensor (202a . . . 202n) and configured to estimate geolocation of one or more emitters (201a . . . 201n) wherein, said second processor (205) clusters data for the one or more emitters (201a . . . 201n) by executing a non-parametric Bayesian technique and said central node (207) utilizes hybrid angle of arrival-time difference of arrival (AOA-TDOA) technique to determine geolocation of each of the emitters (201a . . . 201n).

A communication device comprising: a plurality of wireless communication sections; and a control section configured to control a repetition process of repeatedly performing a measurement process, on a basis of a reliability parameter calculated through the measurement process, and control a selection process of selecting a representative wireless communication section each time the measurement process is repeated in the repetition process, the measurement process including transmission of a signal from the representative wireless communication section, reception of the signal by the plurality of wireless communication sections, and calculation of the reliability parameter with regard to at least any of the wireless communication sections.

A method includes obtaining signal information based on wireless signals communicated between an electronic device and a target device. The method also includes obtaining motion information based on movement of the electronic device. The method further includes identifying first location information based on the motion information and the channel information. Additionally, the method includes identifying second location information based on the orientation of the electronic device and the AoA information. The method also includes determining whether the electronic device is in motion. The method further includes determining whether the target device is within the FoV or outside the FoV of the electronic device based in part on the first location information in response to determining that the electronic device is not in motion or the second location information in response to determining that the electronic device is in motion.