G01S5/04

PRODUCTION SYSTEMS AND PRODUCTION CONTROL METHODS FOR CONTROLLING A PRODUCTION SYSTEM
20200201303 · 2020-06-25 ·

A production system, the production system comprising the following: a loading zone for loading and/or unloading at least one collection carrier, a locating system for locating a collection carrier in the loading zone, the locating system being designed to determine the location of a mobile unit arranged on the collection carrier and/or to capture identification information stored on the mobile unit, an image-capturing unit, which is designed to capture image information of the loading zone, an image evaluation unit, which is designed to determine the position of the collection carrier and/or a state of the collection carrier by the image information. A production control method for controlling a production system. The production system and the production control method enable improved order processing. Preparatory and/or follow-up tasks can be automated in a simpler and easier manner.

PRODUCTION SYSTEMS AND PRODUCTION CONTROL METHODS FOR CONTROLLING A PRODUCTION SYSTEM
20200201303 · 2020-06-25 ·

A production system, the production system comprising the following: a loading zone for loading and/or unloading at least one collection carrier, a locating system for locating a collection carrier in the loading zone, the locating system being designed to determine the location of a mobile unit arranged on the collection carrier and/or to capture identification information stored on the mobile unit, an image-capturing unit, which is designed to capture image information of the loading zone, an image evaluation unit, which is designed to determine the position of the collection carrier and/or a state of the collection carrier by the image information. A production control method for controlling a production system. The production system and the production control method enable improved order processing. Preparatory and/or follow-up tasks can be automated in a simpler and easier manner.

Pseudo-Spectrum Averaging For Angle Of Arrival Detection
20200200852 · 2020-06-25 ·

A system and method for determining a direction of arrival of an incoming signal is disclosed. The present system utilizes a plurality of pseudo-spectrums to create a more accurate result matrix. The pseudo-spectrums are one or two dimensional arrays, where peaks in the arrays are indicative of the angle of arrival. A result matrix is generated by performing a mathematical operation of corresponding elements in each pseudo-spectrum. This mathematical operation may be addition or multiplication. The result matrix provides a more accurate indication of the angle of arrival than can otherwise by achieved. In some embodiments, a measure of quality may also be calculated for the result matrix.

Positioning system and method utilizing normalized beacon signal strengths
10687165 · 2020-06-16 · ·

A positioning system, method and computer program product determine a position of a mobile device, such as in instances in which the mobile device is indoors. In regards to a positioning system, the positioning system is caused to determine a signal strength of signals received from at least first and second directive antennas of a beacon and at least a non-directive antenna of the beacon. The positioning system is also caused to normalize the signal strength of the signals received from the first and second directive antennas based on the signal strength of the signals received from the non-directive antenna in order to determine normalized signal strengths of the signals received from the first and second directive antennas. The positioning system is further caused to determine an angle at which the signals from the beacon propagate based upon the normalized signals strengths.

SIGNAL SOURCE ESTIMATION METHOD AND APPARATUS PERFORMING THE SAME

Disclosed is a signal source estimation method and apparatus performing the same, the signal source estimation method including acquiring first reception signals received by first receivers, among signals radiated from signal sources, selecting second receivers receiving reception signals to be used to estimate the signal sources, from among the first receivers based on the first reception signals, and detecting the number of signal sources based on second reception signals received by the second receivers.

MULTI-PATH MITIGATION IN TRACKING OBJECTS USING COMPRESSED RF DATA

A split architecture is disclosed for determining the location of a wireless device in a heterogeneous wireless communications environment. A detector within the device or another component of the environment receives signals including parameters for a localization signal of the device. The parameters describe known in advance signals within the signals. Additional metadata including each frame start of the signals and assistance data and auxiliary information are also received. The known in advance signals are detected based on the parameters of the localization signal. Samples extracted from the known in advance signals are then processed and compressed and sent with other collect data to a locate server remote from the detector. The location server uses that information as well as similar information about the environment to calculate the location of the device, as well as perform tracking and navigation of the device, and report such results to the environment.

Method for direction finding and direction finding antenna unit

A method for direction finding of at least one incoming signal with a direction finding antenna unit is described, the direction finding antenna unit comprising at least an antenna system having several antenna elements. One antenna element is used as a reference antenna element. A subset of the several antenna elements is selected when the reference antenna element detects the incoming signal, the selected subset ensuring the best signal-to-noise ratio of all possible subsets of the several antenna elements with respect to the reference antenna element. Phase difference and orientation of the incoming signal are related to the reference antenna element. Further, a direction finding antenna unit is described.

Terminal positioning method and baseband unit

The present disclosure describes methods, terminals, and base stations for terminal positioning method. One example method applied to a baseband unit (BBU) in an indoor distributed NodeB system includes: receiving an uplink positioning signal forwarded by multiple remote radio units RRUs, where the uplink positioning signal is sent by a to-be-positioned terminal to the multiple RRUs; selecting, from the multiple RRUs, at least two RRUs as target RRUs according to the uplink positioning signal and a preset rule; and respectively obtaining signal angles of arrival corresponding to the target RRUs, and determining a location of the to-be-positioned terminal according to the signal angles of arrival, locations of the target RRUs, and a preset algorithm.

Terminal positioning method and baseband unit

The present disclosure describes methods, terminals, and base stations for terminal positioning method. One example method applied to a baseband unit (BBU) in an indoor distributed NodeB system includes: receiving an uplink positioning signal forwarded by multiple remote radio units RRUs, where the uplink positioning signal is sent by a to-be-positioned terminal to the multiple RRUs; selecting, from the multiple RRUs, at least two RRUs as target RRUs according to the uplink positioning signal and a preset rule; and respectively obtaining signal angles of arrival corresponding to the target RRUs, and determining a location of the to-be-positioned terminal according to the signal angles of arrival, locations of the target RRUs, and a preset algorithm.

System and method for automating beacon location map generation using sensor fusion and simultaneous localization and mapping

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.