DETECTION AND ESTIMATION OF SPIN
    2.
    发明公开

    公开(公告)号:US20240192352A1

    公开(公告)日:2024-06-13

    申请号:US18442392

    申请日:2024-02-15

    CPC classification number: G01S13/589 G01S7/046 G01S7/295

    Abstract: An example method to determine an object spin rate may include training a neural network with a set of initial data. The set of initial data may be generated based on a plurality of initial radar signals of a plurality of initial objects in motion. The method may include receiving a radar signal of a particular object in motion. The method may include converting the radar signal into an input vector. The input vector may include time and frequency information of the particular object in motion. The method may include providing the input vector as input to a trained neural network. The method may include determining a spin rate of the particular object in motion based on an analysis performed by the trained neural. The analysis may include analyzing the input vector including time and frequency information of the object in motion in view of the set of initial data.

    Tactical motion sensor apparatus and method

    公开(公告)号:US11821976B1

    公开(公告)日:2023-11-21

    申请号:US16380800

    申请日:2019-04-10

    Abstract: A module attachable to a wall to sense motion of a subject on the other side of the wall and to visually indicate the motion to operators on the module's side of the wall, sized for use in tactical operations. Embodiments of the module comprise at least one through-the-wall motion sensor and an indicator, which can include a light source, visible from the outside of the module to indicate the motion of a subject detected by the sensor. Embodiments of the module can optionally include various features, including an enclosure for containing all the components in a single module, electromagnetic shielding material to direct sensing capabilities of the sensors, adhesive for quickly removably securing the module to a wall in tactical operations, additional types of sensors, a microcontroller for controlling various variables in the sensors and light source.

    Graph-based array signal denoising for perturbed synthetic aperture radar

    公开(公告)号:US11789142B2

    公开(公告)日:2023-10-17

    申请号:US16898673

    申请日:2020-06-11

    Abstract: A radar image processing device is provided for generating a radar image from a region of interest (ROI). The radar image processing device receives transmitted radar pulses and radar echoes reflected from the ROI at different positions along a path of a moving radar platform and stores computer-executable programs including a range compressor, a graph modeling generator, a signal aligner, a radar imaging generator and a focused image generator. The radar image processing device performs range compression on the radar echoes by deconvolving the transmitted radar pulses and a radar measurement to obtain frequency-domain signals, generate a graph model represented by sequential positions of the moving radar platform and a graph shift matrix computed using the frequency-domain signals, iteratively denoise and align the frequency-domain signals to obtained denoised data and time shifts by solving a graph-based optimization problem represented by the graph model, wherein the approximated time shifts compensate phase misalignments caused by perturbed positions of the moving radar platform, and perform radar imaging based on the denoised data and the estimated time shifts to generate focused radar images.

    IMAGE IDENTIFICATION SYSTEM
    10.
    发明申请

    公开(公告)号:US20230027501A1

    公开(公告)日:2023-01-26

    申请号:US17958648

    申请日:2022-10-03

    Abstract: Embodiments may relate to a graphical user interface (GUI). The GUI may include a first portion that displays an image related to images of a location. The GUI may also include a second portion that displays an image related to detection and ranging information of the location. The two images may be linked such that an interaction with an object in one portion of the GUI causes changes in the other portion of the GUI. Other embodiments may be described or claimed.

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