Difference between revisions of "Jihoon Kwon"

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Jihoon Kwon (권지훈) Ph. D. candidate Program in Intelligent Systems Department of Transdisciplinary Studies Graduate School of Convergence Science and Technology Seoul National University e-mail: jihoonkwon@snu.ac.kr

Jihoon Kwon received his BS degree in Electrical and Computer Engineering at Chungnam National University, Korea, in 2004. He received an M.S. degree in School of Mechatronics at Gwangju Institute of Science and Technology (GIST), Gwangju, Korea, in 2007. He is currently Ph. D. Student in Graduate School of Convergence Science and Technology at Seoul National University, Korea. He also has been working in the R&D center of Hanwha systems company (Samsung Thales) since 2007. His research interests are in the area of cognitive radar, advanced tracking filter, machine learning & pattern recognition, radar signal processing and multi-sensor fusion.

I am interested in two research topics. The first topic is a pattern recognition technology related to recognizing micro-Doppler signals and target's movement path. This improvement is going to be a key point for the new generation radar. The second topic is to develop new detection techniques for dectecting small RCS targets. Detection techniques using particle filters and recognition techniques based on deep-learning is going to be new alternatives.

My laboratory is trying to combine various topics and machine learning techniques. My research is one of a variety of research areas and it is still ongoing.

Education

• Present:

  Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Korea.

• Feb. 2007:

  M.S. in School of Mechatronics, Gwangju Institute of Science and Technology (GIST), Korea.

  Research Topics: W-band Radar & Radiometer Sensor System for Detection of Hidden Objects, V-band RF Front-end for High-speed Communications

• Aug. 2004:

  B.S. in Electrical and Computer Engineering, Chungnam National University, Korea.

Employment

• Jan. 2017 ~ Present: Senior Engineer, Multi-Function Radar Team, Hanwha Systems.
• Jan. 2013 ~ 2016: Senior Engineer, Radar-EW R&D Center, Hanwha Systems.
• Jan. 2007 ~ Dec.2012: Engineer, Radar System Group, Samsung Thales.

Publications

International Journals

[1] Y. Kim, S. Ha and J. Kwon, “Human detection using Doppler radar based on physical characteristics of targets,” IEEE Geoscience and Remote Sensing Letters, vol.12, pp. 289 – 293, Feb. 2015.

[2] J. Bryan, J. Kwon, N. Lee and Y. Kim, “Application of UWB radar for classification of human activities,” IET Radar, Sonar and Navigation, vol.6, pp. 172–179, Mar. 2012.

[3] C. Chae, J. Kwon, and Y. Kim, "A Study of Compensation for Temporal and Spatial Physical Temperature Variation in Total Power Radiometers ," Sensors Journal, IEEE, vol.12, pp: 2306 - 2312, 2012

[4] C. Chae, J. Kwon, and Y. Kim, "Ka-band total power radiometer and temperature control system for calibration of spatial temperature distribution," Sensors Journal, IEEE, vol.10, pp: 1555 - 1556, 2010

International Conferences

[1] Jihoon Kwon, Nojun Kwak, Eunjung Yang and Kwansung Kim, "Particle filter based track-before-detect method in the range-doppler domain", 2019 IEEE Radar Conference, Boston, MA, USA, April 2019 (accepted).

[2] Jihoon Kwon and Nojun Kwak, "Radar Detection Algorithm Based on Deep Learning for Recgnizing Micro-Doppler Signals by Human Walking and Background Noise", International Symposium on Antenna and Propagation (ISAP 2018), Pusan, Republic of Korea. (Invited, Preparation)

[3] Jihoon Kwon, Nojun Kwak, Eunjeoung Yang and Kwonsung Kim, "Ensemble Kalman filter for Track-before-detect algorithm of pulse-Doppler radar", The 8th Microwave and Radar Week, Poznan, Poland, May 2018. (Oral presentation, Accepted)

[4] Jihoon Kwon and Nojun Kwak "Human Detection by Deep Neural Networks Recognizing Micro-Doppler Signals of Radar", European Microwave Week 2018, Madrid, Spain, September 2018. (Oral presentation, Accepted)

[5] Jihoon Kwon, Nojun Kwak, Dongwon Yang and Yeosun Yoon, "Development of Ground Penetrating Radar based on 48 Channel Impulse Radar Array", European Microwave Week 2017, Nuremberg, Germany, October 2017. (Oral presentation)

[6] Jihoon Kwon, Nojun Kwak, Yeosun Yoon and Dongwon Yang, "Development of GPR Using 16 Channel Impulse UWB Radar Array", 2017 IEEE International AP-S symposium, San Diego, CA, July 2017. (Oral presentation)

[7] Jihoon Kwon and Nojun Kwak, "Human detection by neural networks using a low-cost short-range Doppler radar sensor", 2017 IEEE Radar Conference, Seattle, WA, May 2017. (Oral presentation)

Domestic Journals

[1] 권지훈, 곽노준 "사람 걸음 탐지 및 배경잡음 분류 처리를 위한 도플러 레이다용 딥뉴럴네트워크", 한국전자파학회논문지, 2018. (Submitted)

[2] Jeehyun Lee, Jihoon Kwon, Jin-Ho Bae, and Chong Hyun Lee,* "Classification Algorithms for Human and Dog Movement Based on Micro-Doppler Signals", IEIE Transactions on Smart Processing and Computing, vol. 6, no. 1, pp. 10∼17, February 2017

[3] 권지훈, 곽노준, 하성재, 한승훈, 윤여선, 양동원, "지뢰탐지용 48채널 배열 UWB 임펄스 레이더 방식 지면투과레이더시스템 개발", 대한전자공학회, Vol. 53, No. 12, pp. 1765∼1774, Dec. 2016.

[4] 권지훈, 강성철, 곽노준, "TBD 처리를 위한 레이더용 파티클필터 기법 연구", 한국전자파학회논문지, Vol. 27, No. 3, pp. 317∼325, Mar. 2016.

[5] 이재일, 이종현, 배진호, 권지훈, ”배경잡음에 적응하는 진동센서 기반 목표물 탐지 알고리즘”, 전자공학회논문지, vol.50, No. 7, 2013

Domestic Conference Papers

[1] 권지훈, 곽노준, "도플러 레이더 패턴 인식을 통한 인간 보행 감지 및 배경잡음 제거 기법", 한국자동차공학회 춘계종합학술대회 제출, 2016년

[2] 권지훈, 김동현, 한승훈, “초광대역 임펄스 신호를 사용한 지면투과레이더 매설표적 영상획득 연구”, 대한전자공학회 하계종합학술대회, vol. 2014, No.6, 2014

[3] 권지훈, 김동현, 한승훈, “투과레이더용 초광대역 임펄스 방식 송수신기 개발”, 한국군사과학기술학회, 종합학술대회, 2014

[4] 권지훈, 한승훈, 윤여선, “초광대역 투과레이더, 자성 및 중성자 센서 복합기반 지뢰탐지장치 개발 개요”, 한국군사과학기술학회, 2013

[5] 권지훈 외 ”실외형 마이크로-도플러레이더 센서 하드웨어 및 탐지처리기법 개발”, 한국군사과학기술학회, 2013 외 4편

Patents

[1] 매설물 탐지 레이더 및 탐지 방법, Korean patent, Register No. 1015518240000, 2015

[2] 진동센서 기반의 능동형 문턱값을 이용한 표적 탐지 시스템 및 이를 이용한 표적 탐지 방법, Korean patent, Register No. 1013020600000, 2013

[3] 테이퍼드 슬롯 안테나 장치 및 이를 구비한 레이더, Korean patent, Register No. 1012122190000, 2012

Under Preparation

International Journals