• Title/Summary/Keyword: Stage Matching

검색결과 320건 처리시간 0.028초

Double tuned matching에 의한 MMIC 광대역 전력 증폭기의 설계 (Design of MMIC power amplifier using double tuned matching)

  • 김진성;채연식;윤용순;이진구
    • 한국전자파학회:학술대회논문집
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    • 한국전자파학회 2000년도 종합학술발표회 논문집 Vol.10 No.1
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    • pp.150-153
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    • 2000
  • In this paper, we have designed a 2 stage MMIC power amplifier which has flat gains of in-band and reasonable out-band cutoff characteristics using 0.5$\mu\textrm{m}$ MESFET libra교 of ETRI. For the 1st stave, we obtaind P$_{1dB}$ of 9.2 dBm and gain 10.8 dB using 6 finger D-MESFET and P$_{1dB}$ of 18.4 dBm and gain of 10.8 dB using 14 finger D-MESFET for the 2nd stage, which is power matched using LIBRA's embedded TUNER. Also in-band gain flatness and out-band cutoff characteristics are obtained by attaching LC tank in the output matching circuit. The designed 2 stage MMIC power amplifier has bandwidth of 0.95~2.8 GHz, gain of 20 dB and P$_{1dB}$of 17.2 dBm. Especially gain flatness of $\pm$0.8dB was obtained in 1.8~2.5 GHz frequency ranges. And chip size is 1.4$\times$1.4 mm..4 mm.

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비디오 인덱싱을 위한 얼굴 검출 및 매칭 (Face Detection and Matching for Video Indexing)

  • 모하마드 카이룰 이슬람;이순탁;윤재웅;백중환
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2006년도 하계 학술대회 논문집
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    • pp.45-48
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    • 2006
  • This paper presents an approach to visual information based temporal indexing of video sequences. The objective of this work is the integration of an automatic face detection and a matching system for video indexing. The face detection is done using color information. The matching stage is based on the Principal Component Analysis (PCA) followed by the Minimax Probability Machine (MPM). Using PCA one feature vector is calculated for each face which is detected at the previous stage from the video sequence and MPM is applied to these feature vectors for matching with the training faces which are manually indexed after extracting from video sequences. The integration of the two stages gives good results. The rate of 86.3% correctly classified frames shows the efficiency of our system.

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23 GHz대 2단 저잡음 증폭기의 제작기술에 관한 연구 (A Study on the Fabrication Technologies for the 23 GHz 2-Stage LNA)

  • 안동식;장동필
    • 한국전자파학회논문지
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    • 제8권1호
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    • pp.52-60
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    • 1997
  • MPIE 수치해석적 기법과 초고주파대 CAD 소프트웨 어 인 EEsof를 활용하여 2단 23 GHz대 저잡음 증폭기를 설계하였다 이 회로는 먼저 EEsof를 이용하여 기초 설계를 하고 MPIE 기볍에 의해 수정과 상세 해석을 실시 하는 방법으로 하였다. 입.출력단의 정합 부분은 평행 결합 여파기 형태로 하였는데 이는 임피던스 정합과 DC 차단을 동시에 실시할 수 있을 뿐만 아니라 불연속 부분이 적고 설계시 해석의 오차가 적은 장점을 가지고 있다. FET칩은 접지 급속 변에서 직접 부착하였다. 제작된 증폭기는 이득이 콘넥터 손실 1.8 dB를 고려하지 않은 상태에서 15.2 dB, 잡음지수가 2.7 dB를 나타냈다. 이와 같은 결과는 본 논문에서 사용한 설계 기법과 정합 기술이 20 GHz대 이상의 회로설계 및 제작에 적합하다고 할 수 있다.

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2.6 GHz GaN-HEMT Power Amplifier MMIC for LTE Small-Cell Applications

  • Lim, Wonseob;Lee, Hwiseob;Kang, Hyunuk;Lee, Wooseok;Lee, Kang-Yoon;Hwang, Keum Cheol;Yang, Youngoo;Park, Cheon-Seok
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제16권3호
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    • pp.339-345
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    • 2016
  • This paper presents a two-stage power amplifier MMIC using a $0.4{\mu}m$ GaN-HEMT process. The two-stage structure provides high gain and compact circuit size using an integrated inter-stage matching network. The size and loss of the inter-stage matching network can be reduced by including bond wires as part of the matching network. The two-stage power amplifier MMIC was fabricated with a chip size of $2.0{\times}1.9mm^2$ and was mounted on a $4{\times}4$ QFN carrier for evaluation. Using a downlink LTE signal with a PAPR of 6.5 dB and a channel bandwidth of 10 MHz for the 2.6 GHz band, the power amplifier MMIC exhibited a gain of 30 dB, a drain efficiency of 32%, and an ACLR of -31.4 dBc at an average output power of 36 dBm. Using two power amplifier MMICs for the carrier and peaking amplifiers, a Doherty power amplifier was designed and implemented. At a 6 dB back-off output power level of 39 dBm, a gain of 24.7 dB and a drain efficiency of 43.5% were achieved.

디지털 위성방송 지상 리피터용 고 이득 채널 증폭기 설계 (The Design of High Cain Channel Amplifier for Terrestial Repeater of Digital Satellite Broadcasting)

  • 이강훈;이영철
    • 한국정보통신학회논문지
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    • 제7권3호
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    • pp.485-491
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    • 2003
  • 본 논문에서는 디지털 위성방송 지상 리피터에 적용하고자 고 이득 저 잡음특성을 갖는 소형 채널증폭기를 설계하였다. 채널증폭기를 설계함에 있어서 각각의 증폭 단에서의 잡음지수와 이득 및 안정도를 서로 절충하여 최적화 시켰다. 채널증폭기는 첫째 단에서 저 잡음특성을 나타내도록 임피던스를 정합시켰으며 둘째 단 이상에서는 균일한 이득과 고 안정 동작상태를 유지하고 최종 출력 단에서 고 이득특성을 나타내었다. 설계된 6단의 고 이득 저잡음특성을 나타내는 채널증폭기에 대하여 디지털 위성방송 지상주파수 11.7GHz∼12.7GHz의 대역에서 실험한 결과 68dB의 증폭이득과 2.4dB의 잡음지수를 나타내었으며 63dB의 동작범위를 나타내어 위성방송 지상리피터용 채널증폭기에 적용할 수 있음을 확인하였다.

2단계 스테레오 정합기법을 이용한 DEM 추정 (DEM Estimation Using Two Stage Stereo Matching Method)

  • 남창우;우동민
    • 대한전기학회논문지:시스템및제어부문D
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    • 제49권12호
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    • pp.659-666
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    • 2000
  • A stereo matching has been an important tool for reconstructing three dimensional terrain. By using stereo matching technique, DEM(Digital Elevaton Map) can be generated by the disparity from a reference image to a target image. Generally disparity map can be evaluated by matching the reference image to the target image and if the role of the reference and the target are interchanged, a different DEM can be obtained. In this paper, we propose a new fusion technique to estimate the optimal DEM by eliminating the false DEM due to occlusion. To detect the false DEM, we utilize two measure of accuracy: self-consistency and cross-correlation score. We test the effectiveness of the proposed methods with a quantitative analysis using simulated images. Experimental result indicate that the proposed methods show 24.4% and 33.1% improvement over either DEM.

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An efficent method of binocular data reconstruction

  • Rao, YunBo;Ding, Xianshu;Fan, Bojiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권9호
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    • pp.3721-3737
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    • 2015
  • 3D reconstruction based on binocular data is significant to machine vision. In our method, we propose a new and high efficiency 3D reconstruction approach by using a consumer camera aiming to: 1) address the configuration problem of dual camera in the binocular reconstruction system; 2) address stereo matching can hardly be done well problem in both time computing and precision. The kernel feature is firstly proposed in calibration stage to rectify the epipolar. Then, we segment the objects in the camera into background and foreground, for which system obtains the disparity by different method: local window matching and kernel feature-based matching. Extensive experiments demonstrate our proposed algorithm represents accurate 3D model.

실내 마이크로파 배전용 완전 정합형 전력 분배 스위치의 설계 (Matching-type Power Dividing Switch for Low Reflection in Indoor Microwave Power Distribution)

  • 최영규
    • 전기학회논문지
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    • 제62권6호
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    • pp.792-797
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    • 2013
  • In a indoor microwave power distribution system, matching-type power dividing switch is proposed and designed with a various power dividing ratio. A matching coaxial cable probe is used behind the output probe for the reflecting power absorption. Reflecting characteristics of the matching coaxial cable probe are calculated by analyzing the S-parameter of this structure. Newly proposed matching-type switch shows a very low return loss less than -30dB at the operating frequency of 2.45GHz with a dividing power ratio of 50.2%. The simulated results by use of 3-stage power divider shows a good agreement with the theoretical estimation for the various combination of the different switching ratio.

원자간력 현미경의 측정면적 확대를 위한 영상정합 알고리즘 개발 (Development of Image Matching Algorithm to Expand Measuring Area of Atomic Force Microscope)

  • 고명준;;홍성욱
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.568-571
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    • 2005
  • This paper introduces a correlation-based surface matching algorithm that can be used to reconstruct the surface topography of an object that is scanned from multiple overlapping regions by an AFM. The image matching technique is applied to two neighboring images intentionally overlapped with each other. To account for the inaccuracy of the coarse stage implemented in AFM, all the six axes including the rotational degrees of freedom are successively matched to maximize the correlation coefficient. The results show that the proposed 6-axes image matching method is useful for expanding the measurement range of AFM.

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인공신경망을 이용한 삼차원 물체의 인식과 정확한 자세계산 (3D Object Recognition and Accurate Pose Calculation Using a Neural Network)

  • 박강
    • 대한기계학회논문집A
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    • 제23권11호
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    • pp.1929-1939
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    • 1999
  • This paper presents a neural network approach, which was named PRONET, to 3D object recognition and pose calculation. 3D objects are represented using a set of centroidal profile patterns that describe the boundary of the 2D views taken from evenly distributed view points. PRONET consists of the training stage and the execution stage. In the training stage, a three-layer feed-forward neural network is trained with the centroidal profile patterns using an error back-propagation method. In the execution stage, by matching a centroidal profile pattern of the given image with the best fitting centroidal profile pattern using the neural network, the identity and approximate orientation of the real object, such as a workpiece in arbitrary pose, are obtained. In the matching procedure, line-to-line correspondence between image features and 3D CAD features are also obtained. An iterative model posing method then calculates the more exact pose of the object based on initial orientation and correspondence.