G01S13/02

RADIO LOCATION FINDING
20230228836 · 2023-07-20 ·

A method (1) for passively locating a radio emission source (2a, 2b) is described. The method includes including receiving radio signal datasets (D) corresponding to each of three of more sensors (3). Each sensor (3) includes at least one radio receiver (4). The method also includes receiving or retrieving a physical location corresponding to each sensor (3). The physical locations define a convex hull (5). The method also includes determining whether an emitter signal (8) within a target frequency range is present in any of the radio signal datasets (D), and assigning any radio signal dataset which comprises the emitter signal as a detection dataset. The method also includes, in response to determining three or more detection datasets, calculating a signal location (r) based on arrival times of the emitter signal and the respective physical locations. The method also includes generating a locus of possible positions based on calculating two or more alternative signal locations. Each alternative signal location is calculated by adding synthetic noise to one or more of the detection datasets and repeating the calculations used to calculate the signal location. When the signal location is inside the convex hull, cluster filtering based on circles or spheres is applied. When the signal location is outside the convex hull, cluster filtering is based on ellipses or ellipsoids and on the locus of possible positions. The method also includes outputting one or more estimated radio emission source locations. Each estimated radio emission source location is determined based on a respective cluster of signal locations.

RADIO LOCATION FINDING
20230228836 · 2023-07-20 ·

A method (1) for passively locating a radio emission source (2a, 2b) is described. The method includes including receiving radio signal datasets (D) corresponding to each of three of more sensors (3). Each sensor (3) includes at least one radio receiver (4). The method also includes receiving or retrieving a physical location corresponding to each sensor (3). The physical locations define a convex hull (5). The method also includes determining whether an emitter signal (8) within a target frequency range is present in any of the radio signal datasets (D), and assigning any radio signal dataset which comprises the emitter signal as a detection dataset. The method also includes, in response to determining three or more detection datasets, calculating a signal location (r) based on arrival times of the emitter signal and the respective physical locations. The method also includes generating a locus of possible positions based on calculating two or more alternative signal locations. Each alternative signal location is calculated by adding synthetic noise to one or more of the detection datasets and repeating the calculations used to calculate the signal location. When the signal location is inside the convex hull, cluster filtering based on circles or spheres is applied. When the signal location is outside the convex hull, cluster filtering is based on ellipses or ellipsoids and on the locus of possible positions. The method also includes outputting one or more estimated radio emission source locations. Each estimated radio emission source location is determined based on a respective cluster of signal locations.

Device and method for converting a radar signal, and test bench

The present invention relates to an apparatus and a method for converting a radar signal for further signal processing in a test bench with a radar target emulator as well as a test bench having such an apparatus. A divider assembly preferably comprises a divider device configured to reduce a frequency and a bandwidth of the radar signal by a first factor for the further signal processing. A multiplier assembly preferably comprises a multiplier device configured to increase a frequency and a bandwidth of the radar signal by the first factor subsequent the further signal processing.

User identification device and method using radio frequency radar

A user identification device according to a disclosed embodiment includes a transmitter for scattering radio-frequency (RF) signals into tissues of a body part of a user, a receiver for receiving the RF signals having passed through the tissues of the body part of the user, a memory for storing parameters of a trained classification algorithm, and a processor for identifying the user by analyzing the received RF signals based on the trained classification algorithm by using the parameters of the trained classification algorithm in response to receiving the RF signals through the receiver.

METHOD AND ELECTRONIC DEVICE FOR SMART HOME CONTROL

A method for remote control of at least one non-ultra wide band (nUWB) device in a space by an electronic device is provided. The method includes identifying a position using at least one ultra wideband (UWB) anchor in the space, determining a field of view based on the position of the electronic device in the space, identifying the at least one nUWB device within the field of view, and establishing communication with the at least one nUWB device.

DEVICE AND METHOD FOR GENERATING SCRAMBLED TIMESTAMP SEQUENCE (STS) IN ULTRA WIDE BAND (UWB) COMMUNICATION SYSTEM

Provided is a method of an electronic device for performing ultra wide band (UWB) communication. The method includes receiving upper bit information including pre-set at least one parameter via a UWB command interface (UCI), obtaining slot count information and key information including a constant key value, and performing static scrambled timestamp sequence (STS) generation, based on the upper bit information, the slot count information, and the key information.

LOCALIZATION WITH REDUCED POWER CONSUMPTION
20230013034 · 2023-01-19 ·

In accordance with a first aspect of the present disclosure, a system is provided for facilitating localizing an external device, the system comprising: at least one UWB communication node; a controller operatively coupled to said UWB communication node, wherein the controller is configured to switch the UWB communication node between a ranging mode of operation and a radar mode of operation in dependence on an estimated distance between the UWB communication node and the external device.

AUTHENTICATION METHOD BETWEEN TERMINALS HAVING PROXIMITY COMMUNICATION FUNCTION AND TERMINALS IMPLEMENTING THE SAME METHOD
20230013613 · 2023-01-19 ·

An authentication method in a secure channel unused mode on a first terminal in which Fine Ranging (FiRa) applet drives according to an embodiment of the present disclosure includes generating a session basic information including a random value, transmitting the generated session basic information to a second terminal, generating session data including a session key from the generated session basic information using an authentication key pre-shared with the second terminal, and performing ultra-wide band (UWB) ranging with the second terminal using the generated session data.

METHOD AND APPARATUS FOR INTEROPERATING WITH VEHICLE VIA UWB COMMUNICATION

An embodiment of the disclosure provides an apparatus that include a communication module, a memory, a processor operatively connected to at least one of the communication module or the memory. The processor may be configured to perform UWB communication with a plurality of anchors included in a vehicle via the communication module according to a first scheme, to determine whether a distance to the vehicle falls within a predetermined distance by measuring the distance via the UWB communication, to determine whether a predetermined condition is satisfied if the distance falls within the predetermined distance, and if the predetermined condition is satisfied, to change the UWB communication scheme from the first scheme to a second scheme. Other embodiments are possible.

Ice crystal detection by weather radar

In some examples, a system includes a weather radar device configured to transmit radar signals, receive first reflected radar signals at a first time, and receive second reflected radar signals at a second time. In some examples, the system also includes processing circuitry configured to determine a first magnitude of reflectivity based on the first reflected radar signals and determine a second magnitude of reflectivity based on the second reflected radar signals. In some examples, the processing circuitry is also configured to determine a temporal variance in reflectivity magnitudes based on determining a difference in reflectivity between the first magnitude and the second magnitude. In some examples, the processing circuitry is further configured to determine a presence of ice crystals based on the first magnitude of reflectivity, the second magnitude of reflectivity, and the temporal variance in reflectivity magnitudes.