• Title/Summary/Keyword: Ground Aperture

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1.6 M SOLAR TELESCOPE IN BIG BEAR - THE NST

  • GOODE PHILIP R.;DENKER CARSTEN.J.;DIDKOVSKY LEONID I.;KUHN J. R.;WANG HAIMIN
    • Journal of The Korean Astronomical Society
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    • v.36 no.spc1
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    • pp.125-133
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    • 2003
  • New Jersey Institute of Technology (NJIT), in collaboration with the University of Hawaii (UH), is upgrading Big Bear Solar Observatory (BBSO) by replacing its principal, 65 cm aperture telescope with a modern, off-axis 1.6 m clear aperture instrument from a 1.7 m blank. The new telescope offers a significant incremental improvement in ground-based infrared and high angular resolution capabilities, and enhances our continuing program to understand photospheric magneto-convection and chromospheric dynamics. These are the drivers for what is broadly called space weather - an important problem, which impacts human technologies and life on earth. This New Solar Telescope (NST) will use the existing BBSO pedestal, pier and observatory building, which will be modified to accept the larger open telescope structure. It will be operated together with our 10 inch (for larger field-of-view vector magnetograms, Ca II K and Ha observations) and Singer-Link (full disk H$\alpha$, Ca II K and white light) synoptic telescopes. The NST optical and software control design will be similar to the existing SOLARC (UH) and the planned Advanced Technology Solar Telescope (ATST) facility led by the National Solar Observatory (NSO) - all three are off-axis designs. The NST will be available to guest observers and will continue BBSO's open data policy. The polishing of the primary will be done in partnership with the University of Arizona Mirror Lab, where their proof-of-concept for figuring 8 m pieces of 20 m nighttime telescopes will be the NST's primary mirror. We plan for the NST's first light in late 2005. This new telescope will be the largest aperture solar telescope, and the largest aperture off-axis telescope, located in one of the best observing sites. It will enable new, cutting edge science. The scientific results will be extremely important to space weather and global climate change research.

4×1 Wideband Phase Array Antenna at S-Band (S-대역 4×1 광대역 위상배열안테나에 관한 연구)

  • Yoon, Nanae;Ha-van, Nam;Seo, Chulhun
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.1
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    • pp.20-23
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    • 2018
  • In this work, an aperture-coupled patch array antenna with wideband characteristics was designed and arrayed in a $4{\times}1$ S-band. The designed antenna structure consists of two layers, and it possesses wideband characteristics achieved using coupling between the two layers. The first layer is comprised of four radiation patches and the second layer has an aperture and a ground plane. The antenna structure possesses 15 % wideband characteristics and the center frequency is at 3.2 GHz. A phase shifter was added to the array antenna to enable beam steering. The proposed phase array antenna was fabricated and measured. Our proposed design enables beam steering up to $35^{\circ}$.

Evaluation of Ku-band Ground-based Interferometric Radar Using Gamma Portable Radar Interferometer

  • Hee-Jeong, Jeong;Sang-Hoon, Hong;Je-Yun, Lee;Se-Hoon, Song;Seong-Woo, Jung;Jeong-Heon, Ju
    • Korean Journal of Remote Sensing
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    • v.39 no.1
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    • pp.65-76
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    • 2023
  • The Gamma Portable Radar Interferometer (GPRI) is a ground-based real aperture radar (RAR) that can acquire images with high spatial and temporal resolution. The GPRI ground-based radar used in this study composes three antennas with a Ku-band frequency of 17.1-17.3 GHz (1.73-1.75 cm of wavelength). It can measure displacement over time with millimeter-scale precision. It is also possible to adjust the observation mode by arranging the transmitting and receiving antennas for various applications: i) obtaining differential interferograms through the application of interferometric techniques, ii) generation of digital elevation models and iii) acquisition of full polarimetric data. We introduced the hardware configuration of the GPRI ground-based radar, image acquisition, and characteristics of the collected radar images. The interferometric phase difference has been evaluated to apply the multi-temporal interferometric SAR application (MT-InSAR) using the first observation campaigns at Pusan National University in Geumjeong-gu, Busan.

An Efficient Interferometric Radar Altimeter (IRA) Signal Processing to Extract Precise Three-dimensional Ground Coordinates (정밀 3차원 지상좌표 추출을 위한 IRA의 효율적인 신호처리 기법)

  • Lee, Dong-Taek;Jung, Hyung-Sup;Yoon, Geun-Won
    • Korean Journal of Remote Sensing
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    • v.27 no.5
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    • pp.507-520
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    • 2011
  • Conventional radar altimeter system measured directly the distance between the satellite and the ocean surface and frequently used by aircraft for approach and landing. The radar altimeter is good at flat surface like sea whereas it is difficult to determine precise three dimensional ground coordinates because the ground surface, unlike ocean, is very indented. To overcome this drawback of the radar altimeter, we have developed and validated the interferometric radar altimeter signal processing which is combined with new synthetic aperture and interferometric signal processing algorithm to extract precise three-dimensional ground coordinates. The proposed algorithm can accurately measure the three dimensional ground coordinates using three antennas. In a set of 70 simulations, the averages of errors in x, y and z directions were approximately -0.40 m, -0.02 m and 4.22 m, respectively and the RMSEs were about 3.40 m, 0.30 m and 6.20 m, respectively. The overall results represent that the proposed algorithm is effective for accurate three dimensional ground positioning.

SAR-GMTI 기술의 원리

  • Jeon, Ju-Hwan
    • The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.6
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    • pp.68-79
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    • 2011
  • 본 논문은 tutorial로서 synthetic aperture radar(SAR) 및 ground moving target indicator(GMTI)의 원리 및 이들이 왜 함께 사용되어야 하는지를 설명하고자 한다. 우선 SAR의 영상 형성 방법을 설명하고, 지상에서 움직이는 점 표적(point target)이 SAR 영상에서 어떻게 나타나는지를 이해하고, 마지막으로 GMTI 목적으로 사용될 수 있는 space-time adaptive processing(STAP)의 기본원리를 소개한다. 최신기술 동향은 생략하고 기본원리만 깊이 다루고자 한다.

InSAR Studies of Alaskan Volcanoes

  • Lu Zhong;Wicks Chuck;Dzurisin Dan;Power John
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.47-52
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    • 2004
  • Interferometric synthetic aperture radar (InSAR) is a remote sensing technique capable of measuring ground surface deformation with sub-centimeter precision and spatial resolution in tens-of-meters over a large region. This paper highlights our on-going investigations of Aleutian volcanoes with SAR images acquired from European ERS-1 and ERS-2, Canadian Radarsat-l, and Japanese JERS-l satellites.

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Modal Analysis and MoM to Examine and Tackle Resonance Problems of Power/Ground Planes (평행평판 공진 해석과 효율적인 저감을 위한 모드 해석법과 모멘트 방법의 연구)

  • Shin, Un-Chol;Jang, Gun-Ho;Kahng, Sung-Tek
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1436-1437
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    • 2008
  • In this work, we investigate the electrical and electromagnetic behaviors of the power-bus with a variety of shapes of aperture, on the signal integrity, using a rigorous methods(Modal or MoM) along with Modal analysis method.

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Ultra-Wideband Microstrip-to-Finite Ground Coplanar Waveguide Transition for Millimeter-Wave Systems (밀리미터파 시스템용 초광대역 마이크로스트립-FGCPW 전이구조 설계)

  • Kim, Young-Gon;Kim, Hong-Rak;Jung, Bae-Ho;Kim, Kang Wook
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.27 no.8
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    • pp.701-708
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    • 2016
  • A new design for an ultra-wideband microstrip-to-FGCPW(Finite Ground Coplanar Waveguide) transition is presented. The proposed transition provides the electric field and impedance matching between adjacent transmission lines by ground shaping. The transition is designed on the analytical expressions of whole transitional structure. Conformal mapping is applied to obtain the characteristic impedance of FGCPW with bottom aperture within 3.3 % accuracy as compared with the EM-simulation results. As design example, the fabricated transition in back-to-back configuration provides insertion loss less than 1 dB per transition and return loss better than 10 dB for frequencies from 9 GHz to over 40 GHz.

Development of an Efficient Processor for SIRAL SARIn Mode

  • Lee, Dong-Taek;Jung, Hyung-Sup;Yoon, Geun-Won
    • Korean Journal of Remote Sensing
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    • v.26 no.3
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    • pp.335-346
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    • 2010
  • Recently, ESA (European Space Agency) has launched CryoSAT-2 for polar ice observations. CryoSAT-2 is equipped with a SIRAL (SAR/interferometric radar altimeter), which is a high spatial resolution radar altimeter. Conventional altimeters cannot measure a precise three-dimensional ground position because of the large footprint diameter, while SIRAL altimeter system accomplishes a precise three-dimensional ground positioning by means of interferometric synthetic aperture radar technique. In this study, we developed an efficient SIRAL SARIn mode processing technique to measure a precise three-dimensional ground position. We first simulated SIRAL SARIn RAW data for the ideal target by assuming the flat Earth and linear flight track, and second accessed the precision of three-dimensional geopositioning achieved by the proposed algorithm. The proposed algorithm consists of 1) azimuth processing that determines the squint angle from Doppler centroid, and 2) range processing that estimates the look angle from interferometric phase. In the ideal case, the precisions of look and squint angles achieved by the proposed algorithm were about -2.0 ${\mu}deg$ and 98.0 ${\mu}deg$, respectively, and the three-dimensional geopositioning accuracy was about 1.23 m, -0.02 m, and -0.30 m in X, Y and Z directions, respectively. This means that the SIRAL SARIn mode processing technique enables to measure the three-dimensional ground position with the precision of several meters.

Performance Analysis of Deep Learning-Based Detection/Classification for SAR Ground Targets with the Synthetic Dataset (합성 데이터를 이용한 SAR 지상표적의 딥러닝 탐지/분류 성능분석)

  • Ji-Hoon Park
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.2
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    • pp.147-155
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    • 2024
  • Based on the recently developed deep learning technology, many studies have been conducted on deep learning networks that simultaneously detect and classify targets of interest in synthetic aperture radar(SAR) images. Although numerous research results have been derived mainly with the open SAR ship datasets, there is a lack of work carried out on the deep learning network aimed at detecting and classifying SAR ground targets and trained with the synthetic dataset generated from electromagnetic scattering simulations. In this respect, this paper presents the deep learning network trained with the synthetic dataset and applies it to detecting and classifying real SAR ground targets. With experiment results, this paper also analyzes the network performance according to the composition ratio between the real measured data and the synthetic data involved in network training. Finally, the summary and limitations are discussed to give information on the future research direction.