公开(公告)号：US20220190999A1

公开(公告)日：2022-06-16

申请号：US17547378

申请日：2021-12-10

Applicant: Korea Electronics Technology Institute ,  Seoul National University R&DB Foundation

Inventor： Ha Ram JU ,  Sung Ho LEE ,  Deog Kyoon JEONG

IPC: H04L7/00

Abstract: There is provided a clock and data recovery circuit for a high-speed PAM-4 receiver through statistical learning. A clock and data recovery device according to an embodiment includes: an input unit through which data is inputted; a clock input unit through which a clock is inputted; a sampling unit configured to sample the inputted data by using the inputted clock; a controller configured to combine results of sampling at a plurality of sampling points, to determine a state of the clock based on the combined results, and to generate a control value for controlling the clock; and an adjustment unit configured to adjust the clock applied to the sampling unit, based on the control value generated by the controller. Accordingly, a hardware structure is simplified and energy efficiency is enhanced compared to an exiting oversampling clock and data recovery circuit for a PAM-4 receiver.

公开(公告)号：US20230314565A1

公开(公告)日：2023-10-05

申请号：US17940054

申请日：2022-09-08

Applicant: Korea Electronics Technology Institute

Inventor： Sung Ho LEE ,  Kang Il CHO ,  Yong Chul JUNG

IPC: G01S7/40 ,  G01S13/34

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.

公开(公告)号：US20230200672A1

公开(公告)日：2023-06-29

申请号：US18085817

申请日：2022-12-21

Applicant: Korea Electronics Technology Institute

Inventor： Sung Ho LEE ,  Min Geon SHIN ,  Yong Chul JUNG

IPC: A61B5/05 ,  A61B5/0205 ,  A61B5/00

CPC classification number: A61B5/05 ,  A61B5/0205 ,  A61B5/7203 ,  A61B5/7246 ,  A61B5/725 ,  A61B5/7257 ,  A61B5/024

Abstract: There is provided an FMCW radar target detection method for vital signal detection. A method for detecting vital signals by using radar selects a range bin where there are accurate vital signals by using a correlation between a phase change profile of an IF signal caused by a minute motion, and a target signal intensity change profile, so that accuracy of estimation of vital signals can be enhanced through exact tracking of a person (target). In addition, clutter may be exactly removed by utilizing a phase unwrapping technique which is adaptive to an upper body motion change compared to a 180-degree fixed phase unwrapping technique.

公开(公告)号：US20210158153A1

公开(公告)日：2021-05-27

申请号：US16952481

申请日：2020-11-19

Applicant: Korea Electronics Technology Institute

Inventor： Young Han LEE ,  Sung Ho LEE ,  Min Geon SHIN

IPC: G06N3/08 ,  G01S13/34 ,  G01S7/35

Abstract: A method and a system for processing an FMCW radar signal by using a lightweight deep learning network are provided. The data processing method using an AI model includes: converting n-dimensional data into a plurality of pieces of 2D data; inputting the plurality of pieces of 2D data into the AI model through different channels; and processing the plurality of pieces of 2D data inputted to the AI model by analyzing. Accordingly, an amount of computation and a memory usage can be reduced and characteristics of an object can be learned and inferred by the lightweight deep learning network.

公开(公告)号：US20200261000A1

公开(公告)日：2020-08-20

申请号：US15777057

申请日：2016-01-08

Applicant: UNIVERSITY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY ,  Korea Electronics Technology Institute

Inventor： Sun Kook KIM ,  Sung Ho LEE ,  Min Goo LEE ,  Hyuk Sang JUNG ,  Min Jung KIM ,  Young Ki HONG ,  Won Geum SONG

IPC: A61B5/1455 ,  A61B5/024 ,  A61B5/0205

Abstract: The present invention provides a device for measuring biological information including a sensor array, wherein the sensor array includes a plurality of sensors that are either sensors for amplifying photoreactivity or sensors forming an island network connected by a plurality of multi-channels and, in the device, the average value of biological information about the skin tissues is measured based on values output from the sensor array, and a method of measuring biological information using the device.