In a general aspect, a method is presented for determining a motion zone for a location of motion detected by wireless signals. In some aspects, the method includes obtaining a time series of statistical parameters derived from sets of channel response data. The method also includes identifying time intervals in the time series of statistical parameters, each time interval associated with a respective motion zone in the space. The method additionally includes determining, by analyzing multiple time windows within each of the time intervals, ranges of motion-zone parameters associated with each respective motion zone. The method further includes storing, in a database of a motion detection system, the ranges of motion-zone parameters for the respective motion zones. The ranges of motion-zone parameters are used to identify one of the motion zones based on a motion event detected by the motion detection system.

A method for launching a round from an airborne platform, receiving a plurality of RF signals at the round, determining an amount of time between a first and second received RF signal, where the second signal is a multi-path signal and the first signal is a direct path signal. An altitude of the round is determined based on the delay between the first and second received signal and aligning the round's flight path with an initial velocity vector of the aircraft platform to reduce dispersion. The round can include a plurality of sensors for detecting the RF signals. The second received RF signal may be a multi-path signal having been reflected off of the earth's surface or another object on the earth's surface. The altitude of the round can be determined using the known altitude of the airborne platform, the delay of time between the first and second received signals, and the speed of light.

It is inter-alia disclosed a method comprises: obtaining or holding available radio signal observation data of a tracking device representing one or more sets of radio signal observation results captured by a radio interface of the tracking device when present on a site, wherein a respective set of radio signal observation results is captured at a corresponding observation position on said site; obtaining or holding available setting information; associating at least one training set of radio signal observation results with identification information of an area of interest on said site, if at least one of the one or more sets of radio signal observation results is indicated as the at least one training set of radio signal observation results by the setting information.

A positioning system and a positioning method based on WI-FI® fingerprints are provided. The method includes obtaining positioning map data; performing a clustering processing process to allocate collected data into reference groups in a target area according to collection coordinates; calculating metadata of WI-FI® access points; serving the metadata as a filtering condition related to an identification rate, and extracting WI-FI® fingerprint data with relatively high identification rate; establishing a machine learning model for estimating a relevant position based on the fingerprint data of the WI-FI® access points, and training the machine learning model with extracted WI-FI® fingerprint data and corresponding spatial coordinates to generate a trained machine learning model; configuring a communication module to receive WI-FI® fingerprint data collected by a wireless device; and configuring the trained machine learning model to estimate, according to the WI-FI® fingerprint data collected, the relevant position.

A method includes obtaining one or more pieces of metadata information indicative of one or more identifiers of one or more spatial locations located within a venue, and further indicative of one or more floor level identifiers of the one or more spatial locations. The method also generates a map of one or more locations of one or more radio nodes, including altitude information, and their respective one or more pieces of identifying information. The method further includes determining one or more pieces of matching information indicative of whether a respective identifying information of the one or more radio nodes at least partially matches with at least one metadata information and, if so, associating the respective radio node with a respective altitude floor level of the respective piece of metadata information in a radio map of the venue. A corresponding apparatus and computer program product are also provided.

When deploying or upgrading an enhanced cellular communication system, a site survey may be performed by configuring cellular devices in a given area to report various operational metrics. The devices may also be configured to report environmental data that can be used to determine whether the devices are indoors or outdoors, which may be useful when interpreting the operational metrics. The environmental signatures may include an audio signature, which may comprise an audio impulse response produced by an acoustic echo canceller (AEC) of the device. The environmental signatures may further include a light signature, which may be based on frequency components of ambient light. The environmental signatures may further include an audio signature, which may be based on characteristics of radio signals received by the device. Machine learning techniques may be used, with the environmental signatures as features, to predict whether a given device is indoors or outdoors.

A beacon map construction method, a device, and a computer-readable storage medium are provided. In the method, obtaining measured positions of beacons at the (i−1)-th station point by a measuring equipment; obtaining a first pose constraint relationship of the measuring equipment at the i-th station point relative to the (i−1)-th station point; obtaining a second pose constraint relationship of the i-th station point relative to beacons at the i-th station point, based on a pose of each of the beacons at the i-th station point, and the positions of the beacons at the (i−1)-th station point; determining an error equation of the i-th station point based on the first pose constraint relationship and the second pose constraint relationship; and optimizing the error equation to determine a position of the i-th station point, and constructing a beacon map based on the determined position of the i-th station point.

The data collecting method includes: collecting first and second sensor data respectively through a first and a second sensors while a data collecting apparatus moves within a target area, and tagging a first and a second timestamp values respectively to the first and the second sensor data; generating map data of the target area and location data at a point of time corresponding to the first timestamp value, based on the first sensor data; generating map information of the target area based on the map data, and generating moving path information on the map based on the location data; and estimating a sensing location at a point of time corresponding to the second timestamp value based on the moving path information, and tagging the sensing location to the second sensor data.

Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) transmits one or more provide capabilities messages to a location server, the one or more provide capabilities messages indicating at least a first set of capabilities of the UE to engage in a downlink radio frequency fingerprint (DL-RFFP) positioning procedure, and receives one or more positioning assistance data messages for the DL-RFFP positioning procedure from the location server, the one or more positioning assistance data messages based at least on the first set of capabilities.

A system includes a plurality of wireless transmitters and a processor configured to: receive, from a mobile device, signal strengths of signals from the wireless transmitters as detected by the mobile device. The processor is also configured to determine a location of the mobile device in a vehicle, based on a distance from the mobile device to each of the wireless transmitters, as indicated by the received signal strengths and store the location of the mobile device as an occupant location.