• Title/Summary/Keyword: 레이더 정보

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바이오 정보 센싱을 위한 바이오 레이더 연구 동향

  • Jang, Byeong-Jun;Lee, Yun-Su;Yuk, Jong-Gwan
    • Information and Communications Magazine
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    • v.25 no.2
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    • pp.54-62
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    • 2008
  • 본 고에서는 바이오 정보, 특히 호흡 및 심박수 측정을 위한 바이오 레이더의 원리 및 최근 연구동향을 살펴본다. 바이오 레이더는 무선을 이용하여 비접촉 방식으로 심박 및 호흡 신호를 측정할 수 있어, 향후 u-헬스케어의 핵심 기술중의 하나로 고려되고 있으며, 최근 관련 연구가 전세계적으로 활발히 진행되고 있다. 하지만 실제 상용화되는 데는 아직도 많은 난관이 있어 이를 극복하려는 기술 개발 및 지속적인 관심이 필요하다.

Calculation of Optical Flow Vector Based on Weather Radar Images Using a Image Processing Technique (영상처리기법을 활용한 기상레이더 영상기반 광학흐름 벡터 산출에 관한 연구)

  • Mo, Sunjin;Gu, Ji-Young;Ryu, Geun-Hyeok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.67-69
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    • 2021
  • Weather radar images can be used in a variety of ways because of their high visibility in terms of visuals. In other words it has the advantage of being able to grasp the flow of weather phenomena using not only the raw data of the weather radar, but also the change characteristics between consecutive images. In particular image processing techniques are gradually expanding in the field of meteorological research, and in the case of image data having high resolution such as weather radar images it is expected to produce useful information through a new approach called image processing techniques. In this study the weather phenomena flow was calculated as a vector from the change of the weather radar image according to time interval with the optical flow method, one of the image processing techniques. The characteristics of the weather phenomena to be analyzed were derived through vector analysis resolution suitable for the scale of weather, vector interpolation in regions where no radar echo exists, and the removal of relative flow vectors to distinguish the flow of specific weather and the entire atmosphere. Through this study, it is expected that not only the use of raw data of weather radar, but also the widening of the application area of weather radar, such as the use of unique characteristics of image data, and the active use of image processing techniques in the field of meteorology in the future.

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Implementation of FMCW Radar Signal Processing Module Using MPC5775K (MPC5775K를 이용한 FMCW 레이더 신호처리부 구현)

  • Seo, Min-kyo;Oh, Woojin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.684-685
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    • 2017
  • FMCW radar, which is widely used as a front collision warning system for vehicles, is now being commercialized. In this study we develope the radar signal processing system using MPC5775K that is specialized for high performance ADAS. That has special features for ADAS such as 10Msps 12bit ADC, 50MHz Radix-4 FFT, CTE(Cross Triggering Engine) for synchronized triggering between DAC and ADC. The baseband processing board is implemented and shows the result in Matlab.

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Study on radar deployment for improving the ballistic missile detection probability (탄도미사일 탐지 확률 향상을 위한 레이더 배치에 관한 연구)

  • Park, Tae-yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.518-520
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    • 2014
  • Radar Cross Section(RCS) is very important factor to detect target by radar. Even if the same target, RCS value is significantly different according to the direction facing the radar. Therefore, it is advantageous to place the radar, where RCS is larger to increase the probability of detecting a target with a radar. North Korean ballistic missiles are major threat to our security, ballistic missiles should be detected early and traced for ballistic missile defense. In this paper, it is analyzed that ballistic missile's RCS characteristics and trajectory and proposed a way of radar deployment to improve the detection probability of ballistic missile.

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Development of Acquisition and Analysis System of Radar Information for Small Inshore and Coastal Fishing Vessels - Position Tracking and Real-Time Monitoring- (연근해 소형 어선의 레이더 정보 수록 및 해석 시스템 개발 -위치 추적 및 실시간 모니터링 -)

  • 이대재;김광식;신형일;변덕수
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.39 no.4
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    • pp.337-346
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    • 2003
  • This paper describes on the system and method for automatically tracking and real-time monitoring the position of target ships relative to the own ship using a PC based radar system that displays radar images and electronic charts together on a single PC screen. This system includes a simulator for generating the GGA and VTG information of target ships and a simulator for generating the TTM and OSD outputs from a ARPA radar and then host computer accepts NMEA0183 sentences on the maneuvering information of target ships from these simulators. The results obtained are summarized as follows;1. The system developed this study can be used as a range finder for measuring the distance between two ships and as a device for providing the maneuvering information such as distance and bearing to target ships from own ship on ECS screen. 2. From the result of position tracking for a selected target ship tracked with an update rate of 5 seconds using the $\alpha$-$\beta$ tracker, we concluded that the smoothing effect by the $\alpha$-$\beta$tracker was very effective and stable except in the time interval until about one minute after the target is detected. 3. From the fact that the real-time maneuvering information of tracked ship targets via a local area network (LAN) from a host computer installed a radar target extractor was successfully transferred to various monitoring computers of ship, we concluded that this system can be used as a sub-monitoring system of ARPA radar.

Development of dual-polarization radar rain rate equation using probability matching method (확률대응법을 이용한 이중편파레이더 강우추정 관계식 추정기법 개발)

  • Kim, Gildo;Ro, Yonghun;Yoo, Chulsang
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.214-214
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    • 2016
  • 이중편파 강우레이더는 차등반사도, 차등위상차, 비차등위상차 등 다양한 변수를 관측하여 호우의 공간적 규모, 호우를 구성하는 강수입자, 호우의 이동방향 등 종합적인 강우 정보를 제공한다. 이러한 이중편파레이더를 이용하면 단일편파레이더에 비해 보다 정량적인 강수 추정이 가능하다. 일반적으로 이중편파 강우레이더의 강우추정 관계식은 DSD 및 강우입자 모형을 기반으로 물리적으로 유도된다. 그러나 DSD는 호우 사상에 따라 그 양상이 다르며, 동일 호우 사상 내에서도 시공간적으로 변화가 크다. 이러한 DSD에 내포된 변동성은 결과적으로 레이더 강우에 큰 불확실성을 유발하게 된다. 이에 본 연구에서는 확률대응법을 이용하여 이중편파레이더의 강우추정 관계식을 추정하는 기법을 개발하고자 한다. 확률대응법은 실시간으로 강우추정 관계식의 매개변수를 추정하는 기법으로 단일편파레이더의 Z-R 관계식에 적용된 바 있다. 이러한 확률대응법을 이용하면 시공간적으로 변하는 DSD 등 호우사상의 개별적인 특징을 반영하여 호우사상별 강우추정 관계식의 매개변수를 실시간으로 결정할 수 있다. 따라서 본 연구에서는 이중편파레이더의 강우추정 관계식 중 R(KDP, Zdr), R(Zh, Zdr) 관계식을 위주로 매개변수를 이변량 확률대응법을 통해 추정하고, 기존의 강우추정 알고리즘 및 관계식의 레이더 강우 추정 결과와 비교를 통해 적용성을 평가하였다.

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Modeling of Received Radar Signals for Scan Pattern Analysis (스캔패턴 분석을 위한 레이더 수신신호 모델링)

  • Kim, Yong-Hee;Kim, Wan-Jin;Song, Kyu-Ha;Lee, Dong-Won;Kim, Hyoung-Nam
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.47 no.4
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    • pp.73-85
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    • 2010
  • In dense electronic warfare signal environments, the conventional radar identification methods based on the basic parameters such as frequency, pulse width, and pulse repetition interval are confronted by the problem of identification ambiguity. To overcome this critical problem, a new approach introducing scan pattern of radars has been presented. Researches on new identification methods, however, suffer from a practical problem that it is not easy to secure the many radar signals including various scan pattern information and operation parameters. This paper presents a modeling method of radar signals with which we can generate radar signals including various scan pattern types according to the parameters determining the variation pattern of received signal strength. In addition, with the radar signals generated by the proposed model we analyze their characteristics according to the location of an electronic warfare support (ES) system.

Homeland Defense Radar-Hawaii(HDR-H) for Anti-Ballistic Missile (하와이 배치 탄도미사일 방어용 레이더)

  • Park, Tae-yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.258-259
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    • 2018
  • The United States has deployed and operates a ballistic missile defense system to defend the homeland from ballistic missile attacks launched from direct and potential threats. The Missile Defense Agency has deployed the Aegis BMDs, Sea-based X-band radars(SBX), Ground-Based Interceptors(GBI), Early Warning Radars and THAADs. In addition, the Homeland Defense Radar-Hawaii(HDR-H) will be deployed in Hawaii. The HDR-H is expected to improve defensive ability to ballistic missile threats in the Asia-Pacific region.

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A Study on Using Deep learning for Event Classification Based on Audio and Radar (오디오와 레이더를 결합한 답러닝 환경 분류 연구)

  • Kim, Tae-Ho;Chang, Joon-Hyuk
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.05a
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    • pp.344-345
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    • 2018
  • 본 논문에서는 오디오와 레이더 기반의 딥러닝을 활용한 환경 분류 기술을 제안한다. 제안된 환경 분류 기술은 오디오를 이용한 환경 분류 딥러닝 모델과 레이더를 이용한 딥러닝 모델을 앙상블로 결합하여 환경을 분류한다. 특히, 오디오와 레이더 각 성능을 높이기 위해 별도의 모델이 제안된 딥러닝 환경분류 기법은 실내 환경 5 가지를 분류 하였으며, 오디오 또는 레이더 단일 데이터를 활용한 환경 분류에 비해 우수한 성능을 보였다.

Precipitation Information Retrieval Method Using Automotive Radar Data (차량레이더 자료 기반 강수정보 추정 기법)

  • Jang, Bong-Joo;Lim, Sanghun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.40 no.3
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    • pp.265-271
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    • 2020
  • Automotive radar that is one of the most important equipment in high-tech vehicles, is commonly used to detect the speed and range of objects such as cars. In this paper, in addition to objects detection, a method of retrieving precipitation information using the automotive radar data is proposed. The proposed method is based on the fact that the degree of attenuation of the returned radar signal differs depending on the precipitation intensity and the assumption that the distribution of precipitation is constant in short spatial and temporal observation. The purpose of this paper is to assesses the possibility of retrieving precipitation information using a vehicle radar. To verify the feasibility of the proposed method during actual driving, a method of estimating precipitation information for each time segment of various precipitation events was applied. From the results of driving field experiments, it was found that the proposed method is suitable for estimating precipitation information in various rainfall types.