Patent classifications
G01S5/0257
Radio Frequency Signal Receiver/Identifier Leveraging Unused Pulses
An RF pulse correlator comprising a track database, an antenna, a receiver, and a processor. The track database is configured to store established tracks of RF emissions. The antenna and receiver are configured to receive RF pulses. The tracker is configured to generate improved geolocation data for every received RF pulse based on kinematics of the received RF pulses. The processor is communicatively coupled to the database, the receiver, and the tracker. The processor is configured to associate each received RF pulse with an existing track in the track database or to create a new track.
System And Method For Determining The Position Of An Aircraft
A system for determining the position of an aircraft comprises an emitter arranged at the aircraft for emitting a signal, at least two receivers arranged at different locations for receiving the signal emitted by the emitter, and an evaluation device which is designed to determine an aircraft position based on the known positions of the receivers at the time of the reception of the signal and on a characteristic of the signal emitted by the emitter and received by the receivers. The invention proposes that at least one of the receivers is located above the aircraft, and that the evaluation means is designed to determine a vertical position of the aircraft from the signal received by the receivers and the known positions of the receivers.
POSITIONING CORRECTION METHOD AND APPARATUS
Embodiments of the application provide a positioning correction method and apparatus. In one embodiment, after determining a moving path of a terminal device, a positioning correction apparatus determines, in the moving path, target road sections corresponding to a plurality of measured locations of the terminal device; the apparatus selects, from the plurality of measured locations, a measured location whose distance to a projection location of the corresponding target road section is less than a specified threshold as a reference location; and the apparatus determines, in the moving path, that corrected locations of the plurality of reference locations are projection locations of the plurality of reference locations in the corresponding target road sections, and determines a corrected location of another measured location in the moving path based on timestamps of the plurality of measured locations and the corrected locations of the plurality of reference locations.
ACCURATE LOCALIZATION OF AN OBJECT BY A NETWORK DEVICE
Examples provide accurate localization of an object by using a network device. Examples include determining distances between transmitter and receiver antennas of a network device, transmitting, by the transmitter antenna, a wireless signal having a transmit power, receiving, by the receiver antennas, a reflected signal that reflects off of an object, receiving, by the receiver antennas, a static signal that does not reflect off of the object, and processing the static and reflected signals and determining the location of the object, based on the distances between the transmitter and the receiver antennas and the transmit power.
DYNAMIC, COGNITIVE HYBRID METHOD AND SYSTEM FOR INDOOR SENSING AND POSITIONING
According to one embodiment, a computer-implemented method for dynamic, cognitive hybrid positioning within an indoor environment includes: receiving fingerprinting training data corresponding to the indoor environment, trilateration data corresponding to the indoor environment, triangulation data corresponding to the indoor environment, or a combination of the fingerprinting training data, the trilateration data, and/or the triangulation data; estimating a layout of the indoor environment based at least in part on the fingerprinting training data; classifying at least some areas of the estimated layout according to one of a plurality of predetermined area types; and determining an optimum positioning technique to utilize for each area of the estimated layout, wherein the optimum positioning technique is determined based at least in part on the area type. Corresponding system and computer program product embodiments are also disclosed, as well as hybrid techniques for determining user position within an environment.
METHOD AND APPARATUS FOR VEHICLE OCCUPANT LOCATION DETECTION
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.
Obtaining radiomaps
It is disclosed to obtain physical layout data of a radiomap based on a plurality of location information representatives, each of the location information representatives being associated with a radiomeasurement.
COMMUNICATION FOR HIGH ACCURACY COOPERATIVE POSITIONING SOLUTIONS
An apparatus comprising a transceiver, a processor and a memory. The transceiver may be configured to send/receive data messages to/from a plurality of vehicles. The processor may be configured to execute instructions. The memory may be configured to store instructions that, when executed, perform the steps of (A) generating signal distance calculations between the apparatus and at least three of the vehicles using the data messages, (B) calculating a plurality of potential positions of the vehicles using the signal distance calculations, (C) performing a scaling operation on the plurality potential positions of the vehicles to determine relative positions of the vehicles on a coordinate system, (D) implementing a procrusting procedure on the coordinate system to generate a corrected coordinate system and (F) determining changes of the relative positions using the corrected coordinate system.
ENHANCED OBJECT POSITION DETECTION
A position estimation unit (2) comprising a first transceiver device (3) and a processing unit (10) that is arranged to repeatedly calculate time-of-flight (TOF) for radio signals (x.sub.1, x.sub.2, x.sub.3, x.sub.4, x.sub.5, x.sub.6) sent pair-wise between two transceivers among the first transceiver device (3) and at least two other transceiver devices (7, 8, 9); calculate possible positions for the transceiver devices (3, 7, 8, 9), which results in possible positions for each transceiver device (3, 7, 8, 9); and perform Multidimensional scaling (MDS) calculation in order to obtain relative positions of the transceiver devices (3, 7, 8, 9) in a present coordinate system. After two initial MDS calculations, between every two consecutive MDS calculations, the processing unit (10) is arranged to repeatedly perform a processing procedure comprising translation, scaling and rotation of present coordinate system such that a corrected present coordinate system is acquired. The processing procedure is arranged to determine the corrected present coordinate system such that a smallest change for the relative positions of the transceiver devices (3, 7, 8, 9) between the consecutive MDS calculations is obtained.
ASIL-CLASSIFICATION BY COOPERATIVE POSITIONING
An apparatus comprising a transceiver, an antenna and a processor. The transceiver may be configured to send/receive data messages to/from a plurality of vehicles. The antenna may be configured to receive signals from GNSS satellites. The processor may be configured to (i) determine a first region based on relative coordinates calculated using the data messages, (ii) determine a second region calculated using the signals received from the GNSS satellites, (iii) determine whether a pre-determined amount of the first region to the second region overlap and (iv) increase a confidence level of a positional accuracy of the plurality of vehicles if the pre-determined amount of the first region and the second region overlap. One of the vehicles implements one or more automatic responses based on the confidence level of the positional accuracy.