Patent classifications
G01S5/06
Determining a position of a mobile communication device
A method of determining a position of a mobile telecommunication device (10) which transmits a signal (S) to base stations (1, 2, 3, . . . ) connected by a data link (8) comprises the steps of: correlating the received signal (S) and a reference signal (S′) so as to produce a correlation for each base station, detecting a maximum in each correlation, which maximum is indicative of a time of arrival of the signal (S) at the respective base station, and using the respective times of arrival and the distances (D1, D2, . . . ) derived therefrom to derive a location of the mobile telecommunication device. The method uses receivers (21, 22, . . . ) coupled to a data network (7), each receiver (21, 22, . . . ) deriving the reference signal (S′) from the received signal (S). Each base station may select, if it receives multiple reference signals, the reference signal (S′) having the highest quality.
Determining a position of a mobile communication device
A method of determining a position of a mobile telecommunication device (10) which transmits a signal (S) to base stations (1, 2, 3, . . . ) connected by a data link (8) comprises the steps of: correlating the received signal (S) and a reference signal (S′) so as to produce a correlation for each base station, detecting a maximum in each correlation, which maximum is indicative of a time of arrival of the signal (S) at the respective base station, and using the respective times of arrival and the distances (D1, D2, . . . ) derived therefrom to derive a location of the mobile telecommunication device. The method uses receivers (21, 22, . . . ) coupled to a data network (7), each receiver (21, 22, . . . ) deriving the reference signal (S′) from the received signal (S). Each base station may select, if it receives multiple reference signals, the reference signal (S′) having the highest quality.
INFORMATION COMMUNICATION METHOD AND DEVICE
Disclosed are an information transmission method and device, for determining positioning reference signal resource configuration information and a positioning technical scheme by means of a negotiation process between a positioning server and other nodes, so as to avoid that neighboring base stations may send positioning reference signals on the same time and frequency resources, causing the positioning reference signals of neighboring base stations to interfere with each other, resulting in the degradation of downlink positioning measurement performance, and to enable each base station to optimize the configuration of the positioning reference signal according to the positioning performance requirements of a terminal, thereby improving the positioning performance. The information transmission method provided by the present application comprises: determining positioning reference signal resource configuration information and a positioning technical scheme by means of a negotiation process between a positioning server and other nodes; and notifying the other nodes of the positioning reference signal resource configuration information and the positioning technical scheme.
POSITION ESTIMATION BASED ON TIME BIAS BETWEEN BASE STATION AND REFERENCE USER EQUIPMENT
Disclosed are techniques for wireless communication. In an aspect, a position estimation entity, obtains first timing information that is associated with a first time-of-arrival (TOA) measurement of a first reference signal for positioning (RS-P) as communicated between a target user equipment (UE) and a base station with a first time basis, obtains second timing information that is associated with a second TOA measurement of a second RS-P as communicated between the target UE and a reference UE associated with a known location and having a second time basis that is different than the first time basis, determines a bias between the first time basis and the second time basis, and determines a position estimate of the target UE via a time differential of arrival (TDOA) positioning technique based at least in part upon the first timing information, the second timing information, and the bias.
PRECISE OUTDOOR DISTANCE, SHAPE, AND LAND AREA MEASUREMENT WITH WIRELESS DEVICES
A wireless device determines a biased wireless device position and a receiver clock error for a plurality of satellites, the biased wireless device position and the receiver clock error being associated with a biased ambiguity. The wireless device calculates, upon determining the biased wireless device position and the receiver clock error, the biased ambiguity for each of the plurality of satellites. The wireless device applies the biased ambiguity to a carrier phase measurement for each of the plurality of satellites, the carrier phase measurement being associated with the receiver clock error and an absolute location of the wireless device. The wireless device determines, upon applying the biased ambiguity to the carrier phase measurement for each of the plurality of satellites, the absolute location of the wireless device based on the biased ambiguity for all of the plurality of satellites.
Indoor Localization Using Bluetooth High-Accuracy Distance Measurement
This document describes techniques and systems for indoor localization using Bluetooth high-accuracy distance measurement (HADM). In examples, the described systems and techniques perform a signal-strength scan to identify multiple anchor points and then pair, based on the signal-strength scan, the tagged device with a first anchor point of the identified anchor points. A HADM time slot is set for the first anchor point and at least two additional anchor points of the identified anchor points. A HADM event is initiated, the HADM event including sending a HADM ping and receiving HADM responses from two or more of the identified anchor points. Based on at least a time of receipt of HADM responses received from the two or more of the identified anchor points, the location of the tagged device is calculated.
Indoor Localization Using Bluetooth High-Accuracy Distance Measurement
This document describes techniques and systems for indoor localization using Bluetooth high-accuracy distance measurement (HADM). In examples, the described systems and techniques perform a signal-strength scan to identify multiple anchor points and then pair, based on the signal-strength scan, the tagged device with a first anchor point of the identified anchor points. A HADM time slot is set for the first anchor point and at least two additional anchor points of the identified anchor points. A HADM event is initiated, the HADM event including sending a HADM ping and receiving HADM responses from two or more of the identified anchor points. Based on at least a time of receipt of HADM responses received from the two or more of the identified anchor points, the location of the tagged device is calculated.
Tracking device with mode and battery life
A tracking device with a screen that displays the mode of the tracking device on a screen. The device modes may include sleep mode, monitor mode, locate mode, and emergency mode. Each mode represents a frequency of transmission and which can be changed by the software developer or by the consumer in their software application. The sleep mode will be the fewest frequency pings and may be the mode in which the tracking device is operating while it is in a geofence. Monitor mode will be a higher frequency of pings and a locate mode may be yet a further increased number of pings per given time interval. The emergency mode will be entered when, for example, the pet is outside of the geofence and the owner needs to receive an intense number of pings to assure proper location, especially if the pet is moving. A charge may be made to the customer to enable readouts showing the mode and battery life left, and that the revenues derived from the customer, and in the case where the tracking device is used for pets, may be shared with the pet store. The user will be able to know the battery life remaining in any of the modes. The software application will communicate with the tracking device to change the frequency of the pings.
Tracking device with mode and battery life
A tracking device with a screen that displays the mode of the tracking device on a screen. The device modes may include sleep mode, monitor mode, locate mode, and emergency mode. Each mode represents a frequency of transmission and which can be changed by the software developer or by the consumer in their software application. The sleep mode will be the fewest frequency pings and may be the mode in which the tracking device is operating while it is in a geofence. Monitor mode will be a higher frequency of pings and a locate mode may be yet a further increased number of pings per given time interval. The emergency mode will be entered when, for example, the pet is outside of the geofence and the owner needs to receive an intense number of pings to assure proper location, especially if the pet is moving. A charge may be made to the customer to enable readouts showing the mode and battery life left, and that the revenues derived from the customer, and in the case where the tracking device is used for pets, may be shared with the pet store. The user will be able to know the battery life remaining in any of the modes. The software application will communicate with the tracking device to change the frequency of the pings.
Asset location using backscatter communication with low probability of intercept and detection
Techniques are provided for asset location using backscatter communication. A methodology according to an embodiment includes receiving a signal, generated by a tag associated with an asset in response to a broadcast signal. The broadcast signal comprising a base code sequence, and the received signal comprising the broadcast signal modulated by a tag code sequence and shifted in frequency by a frequency offset. The methodology further includes translating the received signal by the frequency offset to generate a translated received signal, demodulating the translated received signal to remove the tag code sequence modulation to generate a demodulated received signal, cross-correlating the base code sequence with the demodulated received signal to generate a correlation signal, and determining a range to the asset based on a time delay associated with a peak of the correlation signal. The tag may be located based on the range and an estimated direction to the tag.