RADAR SIGNAL PROCESSING METHOD WITH CLUTTER SUPPRESSION CALIBRATION FUNCTION AND RADAR SENSOR APPLYING THE SAME

    公开(公告)号:US20230314565A1

    公开(公告)日:2023-10-05

    申请号:US17940054

    申请日:2022-09-08

    CPC classification number: G01S7/4056 G01S13/34

    Abstract: There are provided a radar signal processing method with a clutter suppression calibration function, and a radar sensor applying the same. A radar sensor according to an embodiment of the disclosure includes: a transmitter configured to transmit a radar signal; a receiver configured to receive a reflected radar signal; a mixer configured to down-convert the radar signal received through the receiver into an IF signal; a memory configured to store clutter information; a restoring unit configured to restore a clutter signal from the clutter information stored in the memory; and a calculator configured to remove a clutter signal from the IF signal down-converted at the mixer, by using the clutter signal restored at the restoring unit. Accordingly, it is easy to detect a radar target by removing objects other than a target easily in various indoor environments, and an SNR and a dynamic range may increase.

    Absolute position detection device and detection method of rotating body using magnetic material

    公开(公告)号:US11639860B2

    公开(公告)日:2023-05-02

    申请号:US17136931

    申请日:2020-12-29

    Abstract: This application relates to an absolute position detection device and detection method of a rotating body using a magnetic material. The device may include magnets coupled to a rotating body and configured to rotate together and having n pole pairs, wherein n is a natural number and (n+1) magnetic materials arranged adjacent to the magnets, spaced apart from each other by a predetermined interval, and configured to rotate together with the rotating body. The device may also include a first Hall sensor spaced apart from the magnets, installed to allow the magnetic materials to rotate in a space between the first Hall sensor and the magnets and configured to output a first signal based on the magnets when the magnetic materials approach the first Hall sensor. The device may further include a controller configured to measure an absolute position of the rotating body using the first signal.

    LOW-LOSS QUASI-CIRCULATOR
    206.
    发明申请

    公开(公告)号:US20230112914A1

    公开(公告)日:2023-04-13

    申请号:US17563257

    申请日:2021-12-28

    Abstract: There is provided a quasi-circulator. The quasi-circulator includes: a first coupler having an input end connected to a transmission end; a first amplifier having an input end connected to an output end of the first coupler; a second amplifier having an input end connected to the output end of the first coupler; a second coupler having one end connected to an output end of the first amplifier and an output end of the second amplifier, and the other end connected to an antenna; and a third coupler having one end connected to the output end of the first amplifier and the output end of the second amplifier, and the other end connected to a reception end. Accordingly, a loss occurring at the quasi-circulator is minimized, and eventually, efficiency of an RF FEM employed in an ultrahigh frequency radar system is enhanced.

    METHOD AND SYSTEM FOR AUTOMATIC BACK-CHANNEL GENERATION IN INTERACTIVE AGENT SYSTEM

    公开(公告)号:US20230069655A1

    公开(公告)日:2023-03-02

    申请号:US17894061

    申请日:2022-08-23

    Abstract: There are provided a method and a system for automatically generating a back-channel in an interactive agent system. According to an embodiment of the disclosure, an automatic back-channel generation method includes: predicting a back-channel by analyzing an utterance of a user inputted in a back-channel prediction model; and generating the predicted back-channel, and the back-channel prediction model is an AI model that is trained to predict a back-channel to express from the utterance of the user. Accordingly, a back-channel is automatically generated by utilizing a back-channel prediction module which is based on a language model, so that a natural dialogue interaction with a user may be implemented in an interactive agent system, and quality of a dialogue service provided to a user may be enhanced.

    AI MODEL LEARNING METHOD AND SYSTEM BASED ON SELF-LEARNING FOR FOCUSING ON SPECIFIC AREAS

    公开(公告)号:US20230004866A1

    公开(公告)日:2023-01-05

    申请号:US17852531

    申请日:2022-06-29

    Abstract: There are provided AI model learning method and system based on self-learning for focusing on specific areas. According to an embodiment, a network learning system includes: a detection module configured to detect a specific area from unlabeled images, and to generate unlabeled area images; a configuration module configured to configure self-learning data by using the generated area images; and a learning module to cause a backbone network to perform self-learning by using the configured self-learning data. Accordingly, an AI model may be trained based on self-learning for focusing on a desired specific area according to a desired purpose, and high-performance analysis specified for various purposes and characteristics of various types of specific areas is possible.

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