Patent classifications
G01S5/04
Localization and passive entry/passive start systems and methods for vehicles
Systems and methods for localization and passive entry/passive start (PEPS) systems for vehicles are provided. A communication gateway establishes a wireless communication link with a portable device. Sensors receive connection information about the wireless communication link that includes a channel map, a next channel for communication, a next channel time for communication, a parameter for calculating a subsequent channel, and (v) a channel hop interval indicating a time interval for communication. Each sensor receives communication packets sent from the portable device based on the connection information and measures signal information. A localization module determines a location of the portable device based on the signal information. A PEPS system performs a vehicle function including at least one of unlocking a door of the vehicle, unlocking a trunk of the vehicle, and allowing the vehicle to be started based on the location of the portable device.
Transmission detection using line of sight
A method for automatically determining a potential transmission region, comprising: acquiring multiple binary indications for a direct line of sight between a transmitter and an airborne vehicle respective of multiple geo-positions of the airborne vehicle; acquiring each of the multiple geo-positions respective of each of the multiple binary indications for the direct line of sight; for each one of the acquired geo-positions, determining a layer of access respective of topographical data for the geographical region and the acquired geo-position, as a subset of the geographical region that includes at least one potential point defining a potential line of sight between the transmitter and the airborne vehicle, thereby determining multiple layers of access; determining an intersection of the multiple layers of access; and determining, from the intersection, the potential transmission region respective of the transmitter and the geo-positions of the airborne vehicle.
REAL TIME DIFFERENCE (RTD) REPORTING FOR MOBILE DEVICE-BASED POSITIONING
Disclosed are techniques for wireless positioning. In an aspect, a mobile device receives a timing synchronization offset parameter for a first cell of a set of cells, wherein the timing synchronization offset parameter represents a difference between a system frame number (SFN) initialization time of the first cell and an SFN initialization time of a reference cell, and processes the timing synchronization offset parameter for the first cell based on the SFN initialization time of the reference cell having changed.
REAL TIME DIFFERENCE (RTD) REPORTING FOR MOBILE DEVICE-BASED POSITIONING
Disclosed are techniques for wireless positioning. In an aspect, a mobile device receives a timing synchronization offset parameter for a first cell of a set of cells, wherein the timing synchronization offset parameter represents a difference between a system frame number (SFN) initialization time of the first cell and an SFN initialization time of a reference cell, and processes the timing synchronization offset parameter for the first cell based on the SFN initialization time of the reference cell having changed.
ANGLE-OF-ARRIVAL DETECTION USING A DUAL-CORE BLUETOOTH RECEIVER
A system for detecting angle-of-arrival (AoA) includes a first device and at least one second device. The first device transmits a Bluetooth (BT) packet, and the second device receives the BT packet and determines an AoA of the BT packet. The second device includes a first radio-frequency (RF) antenna to receive a first RF signal and a second RF antenna to receive a second RF signal. The second device also includes a first BT core and a second BT-core and a processing circuit. The first BT core is coupled to the first RF antenna and is used to generate a first signal based on the first RF signal. The second BT core is coupled to the second RF antenna and generates a second signal based on the second RF signal. The processing circuit measures a phase difference between the first signal and the second signal and determines the AoA based on the phase difference.
ANGLE-OF-ARRIVAL DETECTION USING A DUAL-CORE BLUETOOTH RECEIVER
A system for detecting angle-of-arrival (AoA) includes a first device and at least one second device. The first device transmits a Bluetooth (BT) packet, and the second device receives the BT packet and determines an AoA of the BT packet. The second device includes a first radio-frequency (RF) antenna to receive a first RF signal and a second RF antenna to receive a second RF signal. The second device also includes a first BT core and a second BT-core and a processing circuit. The first BT core is coupled to the first RF antenna and is used to generate a first signal based on the first RF signal. The second BT core is coupled to the second RF antenna and generates a second signal based on the second RF signal. The processing circuit measures a phase difference between the first signal and the second signal and determines the AoA based on the phase difference.
CONSTRAINTS ON A SOURCE REFERENCE SIGNAL FOR QUASI-COLLOCATION TIMING REFERENCE OF A POSITIONING REFERENCE SIGNAL
Disclosed are techniques related to wireless communications. In an aspect, a network entity determines whether a source reference signal transmitted from a first transmission-reception point (TRP) is a quasi-collocation (QCL) source of a target reference signal transmitted from a second TRP based, at least in part, on a first bandwidth (BW) portion occupied by the source reference signal and a second BW portion occupied by the target reference signal, the first BW portion having a first start frequency and a first BW size and the second BW portion having a second start frequency and a second BW size, and configures a user equipment (UE) with the source reference signal as the QCL source of the target reference signal when it is so determined.
Detecting and monitoring location of wireless-enabled devices in a physical space
Wireless-enabled devices are becoming more ubiquitous in society. Detection and analysis of movement of these devices in a known physical space can aid in detecting cyber threats present in the physical space, as well as physical threats to life in the space. Embodiments of the present disclosure are directed to solutions for detecting, monitoring, and analyzing wireless-enabled device movement and utilizing this information to determine a probable threat in a physical space.
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.
Monitoring and/or recording a position of a tool in an elevator shaft
A system for monitoring and/or recording a position of a tool in an elevator shaft includes a position measuring system for measuring a position of the tool relative to an elevator car; a height measuring system for measuring a height of the elevator car in the elevator shaft; and an evaluation system designed to receive measured data from the position measuring system and the elevation measuring system and to determine a position of the tool relative to the elevator shaft from the measured data.