AUTONOMOUS TRANSPORT-BASED UNMANNED AMMUNITION LOADING SYSTEM FOR STATIONARY GUNS AND AUTOMATIC LOADING DEVICE CONSTITUTING SAME

    公开(公告)号:US20230366646A1

    公开(公告)日:2023-11-16

    申请号:US18029874

    申请日:2022-04-12

    CPC classification number: F41A9/38 F41A9/87 B66F9/065

    Abstract: The present invention provides a system for autonomously conveying and loading a shell into a fixed gun, the system including an autonomous conveyance device configured to autonomously travel and move according to an autonomous driving program from a shell storage location to a fixed gun fixed to a gun mount that is a destination, an automatic loading device configured to hold a testing shell and automatically load the testing shell into a cartridge chamber of the fixed gun, and a shell lifting device mounted on an upper surface of the autonomous conveyance device and a lower surface of the automatic loading device and configured to move the automatic loading device upward or downward. According to the present invention, a process of conveying and loading the shell into the testing fixed gun may be autonomously performed in an unmanned manner.

    SEAWATER FLOW CONTROL DEVICE FOR UNIFORM MOTION

    公开(公告)号:US20230348032A1

    公开(公告)日:2023-11-02

    申请号:US18127023

    申请日:2023-03-28

    CPC classification number: B63G8/08

    Abstract: The present invention relates to a seawater flow control device for a uniform motion, and more particularly, to a seawater flow control device for a uniform motion, which controls a velocity of a propulsion system by adjusting a combustion reaction between seawater and a propellant by adjusting a seawater flow rate depending on the number of operating seawater discharge holes. According to the present invention, it is possible to control the velocity of the propulsion system by increasing the amount of seawater when the velocity of the propulsion system is low and decreasing the amount of seawater when the velocity of the propulsion system is high, thereby implementing a uniform motion of the propulsion system.

    Device and method for filtering signal

    公开(公告)号:US11764757B2

    公开(公告)日:2023-09-19

    申请号:US17171757

    申请日:2021-02-09

    CPC classification number: H03H17/0213 H03H17/0266

    Abstract: This application relates to a signal filtering device. The device includes a memory and a processor. The processor may generate one or more matrices based on a size of a digital filter bank that generates an output signal by dividing an input signal into a plurality of channels and store in the memory each of the generated one or more matrices to which a plurality of digital filter bank coefficients or a plurality of input signals are assigned. The processor may also partially calculate the stored plurality of digital filter bank coefficients and the plurality of signals based on a number of at least some of the plurality of channels, and calculate the calculated digital filter bank coefficients and signals. The processor may further perform a discrete Fourier transform (DFT) on the calculated signal and compensate for a phase of the discrete Fourier transformed signal according to a preset reference.

    Method for designing non-uniformly spaced linear array antenna and computer-readable storage medium for executing same

    公开(公告)号:US11749908B2

    公开(公告)日:2023-09-05

    申请号:US17686961

    申请日:2022-03-04

    CPC classification number: H01Q21/08 G06N20/00

    Abstract: This application relates to a method for designing a non-uniformly spaced linear array antenna. The method includes setting a cost function for spacing between a plurality of antennas comprised in a linear array and for weights for each of the antennas, with limits on side lobe level and bandwidth, and obtaining an initial best solution vector for the cost function under an initial environmental condition based on learning parameters. The method may further include updating the initial best solution vector through reinforcement learning in which a reward value is computed by comparing a sub best solution vector with each of a plurality of solution vectors for the cost function under a sub environmental condition based on the initial best solution vector. The method may further include determining the spacing between the plurality of antennas and the weights for each of the antennas based on the updated initial best solution vector.

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