VEHICLE EXPANSION BOX AND VEHICLE
    1.
    发明公开

    公开(公告)号:EP4213522A1

    公开(公告)日:2023-07-19

    申请号:EP22151426.8

    申请日:2022-01-13

    IPC分类号: H04W12/121 H04W4/40 H04L9/40

    摘要: The invention relates to a vehicle expansion box for implementation in a vehicle (10). The vehicle expansion box (16) comprises a wireless module (20) configured to receive a radio frequency signal. The wireless module (20) is configured to generate IQ data based on the radio frequency signal received. A recording module (22) is provided that is connected with the wireless module (20). The recording module (22) has a first memory (28) configured to temporary store the IQ data. At least one evaluation module (24) is provided that is configured to evaluate the IQ data. The at least one evaluation module ("4) is configured to pre-process the IQ data to extract radio frequency signal characteristic data. The at least one evaluation module (24) is configured to parse the radio frequency signal characteristic data by means of a density-based spatial clustering of applications with noise (DBSCAN) in order to determine clusters of points, thereby identifying inliers and outliers corresponding to anomalies in the radio frequency signal such that the at least one evaluation module (24) is enabled to predict an anomaly in the radio frequency signal in real-time.

    METHOD OF TRAINING AN ARTIFICIAL INTELLIGENCE MODULE, MONITORING METHOD AND SYSTEM FOR MONITORING A RADIO FREQUENCY ENVIRONMENT

    公开(公告)号:EP4287082A1

    公开(公告)日:2023-12-06

    申请号:EP22177192.6

    申请日:2022-06-03

    IPC分类号: G06N20/00 H04B17/354

    摘要: The invention relates to a computer-implemented method of training an artificial intelligence module. The method comprises the steps of:
    - providing a training data set, the training data set encompassing training data of a frequency spectrum comprising a guard band and/or training data concerning a radio frequency power in the guard band, and
    - feeding the training data set into the artificial intelligence module to be trained, which processes the training data set in order to learn a standard frequency spectrum and/or a standard radio frequency power in the guard band, thereby enabling the artificial intelligence module, when trained, to determine a deviation from the standard frequency spectrum and/or to determine a deviation from the standard radio frequency power in the guard band.
    In addition, a monitoring method for identifying an anomaly in a radio frequency spectrum as well as a system for monitoring a radio frequency environment are described.

    HEAT SINK DEVICE AND MANUFACTURING METHOD FOR A HEAT SINK FIN ELEMENT

    公开(公告)号:EP4151945A1

    公开(公告)日:2023-03-22

    申请号:EP21197755.8

    申请日:2021-09-20

    摘要: The present disclosure relates to a manufacturing method for a heat sink fin element (2,3) and a heat sink device (1), comprising a base plate element (2), a first fin element (3) arranged at the base plate element (2) or a second fin element (10) arranged at the first fin element (3), whereas the first fin element (3) is arranged at the base plate element (2), whereas at least one out of the group of the base plate element (2), the first fin element (3) and the second fin element (10) is configured to comprise an airfoil-shaped cross-section, whereas the base plate element (2) comprises at least one bulge (4) configured to generate vortices in a fluid flow passing the base plate element (2).

    SYSTEM AND METHOD FOR RF ANOMALY OR INTERFERENCE DETECTION

    公开(公告)号:EP4262112A1

    公开(公告)日:2023-10-18

    申请号:EP22168333.7

    申请日:2022-04-14

    摘要: The invention relates to system (10) for radio frequency, RF, anomaly or interference detection in an environment (20). The system (10) comprises an unmanned vehicle (11) which is configured to move through the environment (20), and at least one RF receiver (12) which is mounted to the unmanned vehicle (11) and which is configured to record RF spectral data at different locations in the environment (20). The system (10) further comprises at least one RF machine learning unit, RFMLU (13), wherein the RFMLU (13) is configured to analyze the RF spectral data in order to detect RF anomalies or interferences. In case of detecting an RF anomaly or interference with the RFMLU (13), the RF receiver (12) is configured to record a baseband signal of an RF environment at the location of the detected RF anomaly or interference.

    METHOD AND SYSTEM FOR JAMMING AN OFDM OPERATED UNMANNED AERIAL VEHICLE

    公开(公告)号:EP3972162A1

    公开(公告)日:2022-03-23

    申请号:EP20196494.7

    申请日:2020-09-16

    IPC分类号: H04K3/00

    摘要: The invention relates to a method of jamming an OFDM operated unmanned aerial vehicle (12), wherein the method comprises the steps of:
    - Receiving at least one OFDM stream having several OFDM symbols by means of at least one receiver (16), thereby obtaining a received signal,
    - Delaying the received signal by a delay time by means of at least one delay module (26), thereby generating a delayed signal,
    - Forwarding the delayed signal to at least one transmitter (20), and
    - Transmitting at least one part of the delayed signal by means of the transmitter (20), wherein the delayed signal is associated with the OFDM stream received, and wherein at least one cyclic prefix of an OFDM symbol is transmitted by the transmitter (20).
    Furthermore, a system (10) for jamming an OFDM operated unmanned aerial vehicle (12) is described.