• Title/Summary/Keyword: radar-measured data

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Condition Evaluation of Concrete Bridge Decks with Asphalt Layer (레이더를 이용한 아스팔트 포장이 있는 콘크리트 교량 바닥판 상태평가)

  • 서진원;이지형;이일용
    • Proceedings of the Korea Concrete Institute Conference
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    • 1999.10a
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    • pp.627-630
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    • 1999
  • In this study, the usefulness of Radar method by means of assessing deck data-layer properties-was tested on the highway bridge. The obtained GPR data were compared with values measured from drilled cores and damage mapping by the visual survey. It is shown that GPR can provide the highly accurate measurements of layer properties of concrete decks and can map areas of deterioration in bridge by dielectric constants.

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Doppler Radar System for Long Range Detection of Respiration and Heart Rate (원거리에서 측정 가능한 호흡 및 심박 수 측정을 위한 도플러 레이더 시스템)

  • Lee, Jee-Hoon;Kim, Ki-Beom;Park, Seong-Ook
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.25 no.4
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    • pp.418-425
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    • 2014
  • This paper presents a Ku-Band Doppler Radar System to measure respiration and heart rate. It was measured by using simultaneous radar and ECG(Electrocardiogram). Arctangent demodulation without dc offset compensation can be applied to transmitted I/Q(In-phase & Quadrature-phase) signal in order to improve the RMSE(Root Mean Square Error) about 50 %. The power leaked to receiving antenna from the transmitting antenna is always generated because of continuously opening the transceiver of CW(Continuous Wave) Doppler radar. As the output power increase, leakage power has an effect on the SNR(Signal-to-Noise Ratio) of the system. Therefore, in this paper, leakage cancellation technique that adds the signal having the opposite phase of the leakage power to the leakage power was implemented in order to minimize the decline of receiver sensitivity. By applying the leakage cancellation techniques described above, it is possible to measure the heart rate and respiration of the human at a distance of up to 35 m. the heart rate of the measured data at a distance of 35 m accords with the heart rate extracted from the ECG data.

Sustainable Surface Deformation Related with 2006 Augustine Volcano Eruption in Alaska Measured Using GPS and InSAR Techniques

  • Lee, Seulki;Kim, Sukyung;Lee, Changwook
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.34 no.4
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    • pp.357-372
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    • 2016
  • Augustine volcano, located along the Aleutian Arc, is one of the most active volcanoes in Alaska and nearby islands, with seven eruptions occurring between 1812 and 2006. This study monitored the surface displacement before and after the most recent 2006 eruption. For analysis, we conducted a time-series analysis on data observed at the permanent GPS(Global Positioning System) observation stations in Augustine Island between 2005 and 2011. According to the surface displacement analysis results based on GPS data, the movement of the surface inflation at the average speed of 2.3 cm/year three months prior to the eruption has been clearly observed, with the post-eruption surface deflation at the speed of 1.6 cm/year. To compare surface displacements measurement by GPS observation, ENVISAT(Environmental satellite) radar satellite data were collected between 2003 and 2010 and processed the SBAS(Small Baseline Subset) method, one of the time-series analysis techniques using multiple InSAR(Interferometric Synthetic Aperture Radar) data sets. This result represents 0.97 correlation value between GPS and InSAR time-series surface displacements. This research has been completed precise surface deformation using GPS and time-series InSAR methods for a detection of precursor symptom on Augustine volcano.

Extraction of Ocean Surface Current Velocity Using Envisat ASAR Raw Data (Envisat ASAR 원시자료를 이용한 표층 해류 속도 추출)

  • Kang, Ki-Mook;Kim, Duk-Jin
    • Korean Journal of Remote Sensing
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    • v.29 no.1
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    • pp.11-20
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    • 2013
  • Space-borne Synthetic Aperture Radar(SAR) has been one of the most effective tools for monitoring quantitative oceanographic physical parameters. The Doppler information recorded in single-channel SAR raw data can be useful in estimating moving velocity of water mass in ocean. The Doppler shift is caused by the relative motion between SAR sensor and the water mass of ocean surface. Thus, the moving velocity can be extracted by measuring the Doppler anomaly between extracted Doppler centroid and predicted Doppler centroid. The predicted Doppler centroid, defined as the Doppler centroid assuming that the target is not moving, is calculated based on the geometric parameters of a satellite, such as the satellite's orbit, look angle, and attitude with regard to the rotating Earth. While the estimated Doppler shift, corresponding to the actual Doppler centroid in the situation of real SAR data acquisition, can be extracted directly from raw SAR signal data, which usually calculated by applying the Average Cross Correlation Coefficient(ACCC). The moving velocity was further refined to obtain ocean surface current by subtracting the phase velocity of Bragg-resonant capillary waves. These methods were applied to Envisat ASAR raw data acquired in the East Sea, and the extracted ocean surface currents were compared with the current measured by HF-radar.

A Study on the Effect of Atmosphere on the Space Surveillance Radar (우주감시레이다에 대한 지구 대기권 영향 분석 연구)

  • Moon, Hyun-Wook;Choi, Eun-Jung;Lee, Jonghyun;Yeum, Jaemeung;Kwon, Sewoong;Hong, Sungmin;Cho, Sungki;Park, Jang-Hyun;Jo, Jung Hyun
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.8
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    • pp.648-659
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    • 2018
  • In this study, both the altitude error due to the refraction and the range error due to the delay in the ionosphere with respect to the frequency are extracted according to the radar elevation to analyze the effect of atmosphere on the space surveillance radar. To achieve this, the radio refractivity profile is modeled using the measured data from domestic weather stations. Then, the altitude-error due to the refraction is extracted using the ray tracing method, and the range error in the ionosphere is extracted according to the frequency. Further, considerations for radar design with respect to the radar error characteristics are discussed based on the abroad space surveillance radar and proposed domestic space surveillance radar. This analysis of the error characteristics is expected to be utilized for the determination of radar location, range of steering, and frequency in the space surveillance radar design.

Asynchronous Sensor Fusion using Multi-rate Kalman Filter (다중주기 칼만 필터를 이용한 비동기 센서 융합)

  • Son, Young Seop;Kim, Wonhee;Lee, Seung-Hi;Chung, Chung Choo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.11
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    • pp.1551-1558
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    • 2014
  • We propose a multi-rate sensor fusion of vision and radar using Kalman filter to solve problems of asynchronized and multi-rate sampling periods in object vehicle tracking. A model based prediction of object vehicles is performed with a decentralized multi-rate Kalman filter for each sensor (vision and radar sensors.) To obtain the improvement in the performance of position prediction, different weighting is applied to each sensor's predicted object position from the multi-rate Kalman filter. The proposed method can provide estimated position of the object vehicles at every sampling time of ECU. The Mahalanobis distance is used to make correspondence among the measured and predicted objects. Through the experimental results, we validate that the post-processed fusion data give us improved tracking performance. The proposed method obtained two times improvement in the object tracking performance compared to single sensor method (camera or radar sensor) in the view point of roots mean square error.

Extraction of S-Parameters for a Slot Unit on the Post-Wall Waveguide from Measured Data

  • Lee, Jae-Ho;Park, Jung-Yong
    • Journal of electromagnetic engineering and science
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    • v.12 no.1
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    • pp.122-127
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    • 2012
  • Post-wall waveguide structures have attracted a great deal of attention for micro- and millimeter-wave applications. One of the waveguide’s applications is a slotted waveguide array. In order to design the slotted array, the characteristics of a slot unit alone on the post-wall waveguide should be investigated. In this paper, a method for extracting the S-parameters of a unit slot is proposed. This simple method requires only two kinds of waveguides: waveguides without a slot unit and waveguides with a slot unit. Three kinds of slot units are fabricated, and the extracted results show a high level of agreement with predicted (simulated) results. With this method, the equivalent slot length can also be found.

Contraction of a newly reclaimed mudflat detected by Differential SAR Interferometry

  • Lee Hoonyol;Chi Kwang Hoon
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.57-59
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    • 2004
  • This paper reports the observation of the interferometric synthetic aperture radar (InSAR) phase anomaly on a newly reclaimed mudflat, Hwaong, in west coast of Korea, detected by a series of Radarsat-l SAR data obtained mostly during 2003. The observed phase anomaly could be from subsidence of mud land caused by volumetric contraction of mud in dry season. This process must have been initiated from March 2002 when tidal water supply to this region was permanently blocked by the newly constructed embankment. The maximum subsidence rate measured from InSAR signal is about 3 cm per month. The local heterogeneity of the subsidence rate over the reclaimed mudflat may indicate various mud composition, surface-subsurface hydrological processes, or subsurface information of the mud and basement rock structure. In-situ measurement must follow to support this observation from space.

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A Study on the Detecting of Noncontact Biosignal using UWB Radar (UWB 레이더를 이용한 비접촉 생체신호 검출에 관한 연구)

  • Lee, Yonggyu;Cho, Joonggil;Kim, Taesung
    • Journal of the Korea Safety Management & Science
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    • v.21 no.4
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    • pp.1-6
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    • 2019
  • This study relates to acquiring biological signal without attaching directly to the user using UWB(Ultra Wide Band) radar. The collected information is the respiratory rate, heart rate, and the degree of movement during sleep, and this information is used to measure the sleep state. A breathing measurement algorithm and a sleep state detection algorithm were developed to graph the measured data. Information about the sleep state will be used as a personalized diagnosis by connecting with the medical institution and contribute to the prevention of sleep related diseases. In addition, biological signal will be linked to various sensors in the era of the 4th industrial revolution, leading to smart healthcare, which will make human life more enriching.

An Analysis on the Reduction of Measurement Time Using Interpolation Algorithm in Near-field RCS Measurements for Aircraft Shape (항공기 형상에 대한 근전계 RCS 측정에서 내삽 알고리즘을 이용한 측정시간 단축에 대한 분석)

  • Park, Homin
    • Journal of the Korea Institute of Military Science and Technology
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    • v.25 no.4
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    • pp.339-346
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    • 2022
  • The importance of stealth technology is increasing in modern warfare, and Radar Cross Section(RCS) is widely used as an indicator of stealth technology. It is useful to measure RCS using an image-based near-field to far-field transformation algorithm in short-range monostatic conditions. However, the near-field measurement system requires a longer measurement time compared to other methods. In this work, it is proposed to reduce the measured data using an interpolation method in azimuth angular domain. The calculated far-field RCS values according to the sampling rate is shown, and the performance of the algorithm applied with interpolation in the angular domain is presented. It is shown that measurement samples can be reduced several times by using the redundancy in the angular domain while producing results similar to the conventional method.