Patent classifications
G01S5/04
Asset location using direction finding features
Systems, methods, and apparatus cause a first wireless device to transmit to a plurality of locator devices, an extended signal including a first segment and second segment. The first segment includes an indication for each of the plurality of locator devices to listen for a change in the extended signal from the first segment to the second segment. The second segment includes an indication for each of the plurality of locator devices to rotate through a plurality of antennas to receive the second segment via the plurality of antennas. Responsive to the transmitting of the extended signal, receiving direction data from each of the plurality of locator devices.
REFERENCE SIGNAL CONFIGURATION DETERMINING METHOD AND APPARATUS
This application discloses a reference signal configuration determining method and apparatus. The method includes: A network device determines a first configuration for sending an aperiodic reference signal by a to-be-positioned terminal; and the network device sends the first configuration to a location management function. The network device is a serving base station of a terminal. The serving base station of the terminal may determine an aperiodic reference signal configuration of the terminal at any time. The first configuration of the aperiodic reference signal is sent to the location management function, so that the location management function can be notified of the aperiodic reference signal configuration in time. In this way, the location management function obtains positioning measurement information from a measurement network element based on the first configuration. Consequently, an uplink positioning technology is optimized and uplink positioning accuracy is improved.
Offloading location computation from cloud to access point (AP) with projection on base phase vectors
Offloading of location computation from a location server to an access point through the use of projections on base phase vectors may be provided. First, an Access Point (AP) may receive a set of two or more base phase vectors from a location server. Next, the AP may measure a measured phase vector for a first signal from a user device. Then, the AP can determine projection values based on a comparison of the measured phase vector to each base phase vector. From these comparisons, the AP can determine a subset of base phase vectors with the highest projection values. The AP can then send the projection values and the subset of base phase vectors to the location server, wherein the location server determines the device location from these projection values and subset of base phase vectors.
Angle of arrival using machine learning
A system and method of determining the angle of arrival or departure using a neural network is disclosed. The system collects a plurality of I and Q samples as a packet containing a constant tone extension is being received. The I and Q samples are used to form I and Q arrays, which are used as the input to the neural network. The neural network produces a first output representative of the azimuth angle and a second output representative of the elevation angle. In certain embodiments, the neural network is capable of detecting a plurality of angles, where, for each angle, there are three outputs, a first output representative of the azimuth angle, a second output representative of the elevation angle and a third output representative of the relative amplitude. In some embodiments, the neural network is configured to determine the carrier frequency offset of an incoming signal as well.
Distributed radio signal targeting device
Apparatuses and methods are disclosed that allow for the detection, identification and direction finding of search and rescue beacons in a variety of environments. The techniques may be used to identify a line of bearing (LOB) to 121.5 MHz rescue beacons found in aircraft (ELTs), marine beacons (EPIRBs), and personal locator beacons (PLBs). Multiple lines of bearing may be used to geo-locate a target emitter if so desired. The methods may utilize, for example, a handheld device that is designed for search and rescue activity. Additionally, this device may be able to decode a 406 MHz frequency beacon that communicates with the satellite system that is controlled by COSPAS SARSAT. This constellation of rescue satellites coordinates the location of 406 MHz rescue beacons.
Identifying client device locations through group-based access point voting
Embodiments herein describe performing AoA resolving to identify a plurality of AoAs corresponding to a multipath signal and then using AP voting to identify a location of the client device. AoA resolving enables an AP to identify the different angles at which a multipath signal reaches the AP. That is, due to reflections, a wireless signal transmitted by a single client device may reach the AP using multiple paths that each has their own AoA. The AP can perform AoA resolving to identify the AoAs for the different paths in a multipath signal. In one embodiment, the AoAs for two APs (or a subset of the APs) can be used to identify cross points or intersection points that represent candidate locations of the client device. A voting module can determine whether those cross points corresponds to AoAs identified by the remaining APs.
Identifying client device locations through group-based access point voting
Embodiments herein describe performing AoA resolving to identify a plurality of AoAs corresponding to a multipath signal and then using AP voting to identify a location of the client device. AoA resolving enables an AP to identify the different angles at which a multipath signal reaches the AP. That is, due to reflections, a wireless signal transmitted by a single client device may reach the AP using multiple paths that each has their own AoA. The AP can perform AoA resolving to identify the AoAs for the different paths in a multipath signal. In one embodiment, the AoAs for two APs (or a subset of the APs) can be used to identify cross points or intersection points that represent candidate locations of the client device. A voting module can determine whether those cross points corresponds to AoAs identified by the remaining APs.
Indoor positioning method, electronic device and readable storage medium
An indoor positioning method detects a moving object defines a possible location area of the moving objects according to errors calculated by received signal strength indication (RSSI) values of the moving object, and calculates RSSI moving vectors between the moving object and wireless devices according to the RSSI values to predict an exact position of the moving object according to the dependency of the RSSI moving vectors and relative angular positions of the moving object. The high relevance feature between the Co-Channel Interference (CCI) of multi-nodes and the Carrier to Interference-plus-Noise Ratio (CINR) is transformed as vectors and the vectors are compared with the RSSI moving vectors to calculate a Root Mean Square Error (RMSE) value. When the RMSE value is less than a preset threshold value, an exact position of the moving object can be obtained.
Indoor positioning method, electronic device and readable storage medium
An indoor positioning method detects a moving object defines a possible location area of the moving objects according to errors calculated by received signal strength indication (RSSI) values of the moving object, and calculates RSSI moving vectors between the moving object and wireless devices according to the RSSI values to predict an exact position of the moving object according to the dependency of the RSSI moving vectors and relative angular positions of the moving object. The high relevance feature between the Co-Channel Interference (CCI) of multi-nodes and the Carrier to Interference-plus-Noise Ratio (CINR) is transformed as vectors and the vectors are compared with the RSSI moving vectors to calculate a Root Mean Square Error (RMSE) value. When the RMSE value is less than a preset threshold value, an exact position of the moving object can be obtained.
Method for direction finding of at least one stationary and/or moving transmitter as well as system for direction finding
A method for direction finding of at least one stationary and/or moving transmitter comprises the following steps: measuring the signals emitted by each of the at least one transmitter at at least two different measurement points; determining the location of the measurements points at the time of the measurement; determining the bearings from the measurement points to each of the at least one transmitter; transferring the bearings to a pre-trained artificial neural network; and estimating the locations of the at least one transmitter by the artificial neural network. Further, a system for direction finding of at least one stationary and/or moving transmitter is shown.