A system for managing data related to at least one leaf node device, the system including a location processing engine located on a server that is remote from the at least one leaf node device; at least one point of interest (POI) device for collecting data relating to at least one leaf node device and transmitting the collected data with a timestamp using Bluetooth Low Energy (BLE); at least one reader node device for receiving the collected data from the point of interest (POI) device using BLE and transmitting the collected data to the location processing engine; and a database of the known locations of POI devices, wherein the known locations are used as a basis for determining the location of the at least one leaf node device that communicated with the POI device.

A system for managing data related to at least one leaf node device, the system including a location processing engine located on a server that is remote from the at least one leaf node device; at least one point of interest (POI) device for collecting data relating to at least one leaf node device and transmitting the collected data with a timestamp using Bluetooth Low Energy (BLE); at least one reader node device for receiving the collected data from the point of interest (POI) device using BLE and transmitting the collected data to the location processing engine; and a database of the known locations of POI devices, wherein the known locations are used as a basis for determining the location of the at least one leaf node device that communicated with the POI device.

A system for locating an object in a volume of space can include an electrical device having multiple antennae, and a switch coupled to the antennae. The system can also include a controller communicably coupled to the switch. The controller can measure, at a first time, a first parameter of a signal received at a first antenna. The controller can also operate the switch from a first position to a second position, where the first position enables the first antenna, and where the second position enables a second antenna. The controller can further measure, at a second time, a second parameter of the signal received at the second antenna. The controller can also determine, using the first parameter and the second parameter, a multi-dimensional location of the object in the volume of space.

A system and method, which utilizes incremental smoothing and mapping (iSAM) algorithm and automatically builds a beacon location map using various sensor and environmental information. The aforesaid iSAM algorithm fuses received signal strength indicator (RSSI) values available from different beacons in the environment and the information provided by the IMU sensor. The aforesaid iSAM algorithm is capable of simultaneously generating beacon and landmark map and localize the mobile computing device in the environment without having any prior information about any beacon locations. To accommodate for noisy sensor data and achieve better convergence for the iSAM algorithm, the system uses a prior beacon location map, which contains location information of some of the BLE beacons located in the environment. These known beacon locations provide cleaner environmental information to the iSAM algorithm and hence improve the overall estimation of beacon locations, which were not available apriori.

A system and method, which utilizes incremental smoothing and mapping (iSAM) algorithm and automatically builds a beacon location map using various sensor and environmental information. The aforesaid iSAM algorithm fuses received signal strength indicator (RSSI) values available from different beacons in the environment and the information provided by the IMU sensor. The aforesaid iSAM algorithm is capable of simultaneously generating beacon and landmark map and localize the mobile computing device in the environment without having any prior information about any beacon locations. To accommodate for noisy sensor data and achieve better convergence for the iSAM algorithm, the system uses a prior beacon location map, which contains location information of some of the BLE beacons located in the environment. These known beacon locations provide cleaner environmental information to the iSAM algorithm and hence improve the overall estimation of beacon locations, which were not available apriori.

In an aspect of the present invention, provided is a method for measuring a position of a mobile device by reference devices in a wireless communication system. In this case, the method may include: receiving, by a first reference device, reference signals at first and second frequencies from the mobile device; obtaining first phase difference information based on the reference signals received at the first and second frequencies; receiving, by the first reference device, second phase difference information from a second reference device; and measuring the position of the mobile device based on the first and second phase difference information.

In an aspect of the present invention, provided is a method for measuring a position of a mobile device by reference devices in a wireless communication system. In this case, the method may include: receiving, by a first reference device, reference signals at first and second frequencies from the mobile device; obtaining first phase difference information based on the reference signals received at the first and second frequencies; receiving, by the first reference device, second phase difference information from a second reference device; and measuring the position of the mobile device based on the first and second phase difference information.

The present invention provides a radio frequency identification (RFID) reader. The RFID reader includes an RFID module configured to generate a radio frequency (RF) signal, a power divider configured to divide the generated RF signal into a plurality of RF signals having the same power, at least one antenna configured to transmit the divided RF signals, and a sensor configured to detect an object within a predetermined area and transmit a result of the detection of the object to the RFID module.

Systems and methods are provided that include a transceiver system. The transceiver system is configured to (i) transmit a location request signal to a user identification device (UID), (ii) receive, in response to the UID receiving the location request signal, a position signal transmitted from the UID, and (iii) measure angles of arrival of the position signal for each transceiver of the transceiver system. A controller is in communication with the transceivers and is configured to (i) receive the angles of arrival, (ii) determine a location of the UID based on the angles of arrival, and (iii) activate at least one of an ignition system of a vehicle and a locking system of the vehicle based on the location of the UID.

Determining a location of a user device comprises a wireless computing system supported by an access point. The wireless computing system receives a signal from the user device. The system estimates a location of the user device based on RSSI and calculates a boundary around the estimated location. The wireless computing system selects a plurality of sections inside of the boundary and performs a coarse calculation of a location of the user device based on an angle of arrival of the received signal. The system determines sections of the plurality of sections that have results from the coarse calculation that are more likely to be a location of the user device. The system performs a fine calculation of the location based on the angle of arrival of the received signal within each of the sections. The system identifies a particular section as the location of the user device.