연구동향 분석
박사

Practical antenna beamforming transceiver designs for multiple antenna systems

조경태 2015년

논문상세정보
    • 저자 조경태
    • 형태사항 26 cm: xiii, 73장 :: 삽화, 도표
    • 일반주기 지도교수: 高榮采, 참고문헌: 장 68-73
    • 학위논문사항 高麗大學校 大學院, 學位論文(博士)-, 電子電氣工學科, 2015. 2
    • 발행지 Seoul
    • 출판년 2015
    • 발행사항 Graduate School, Korea University
    • 주제어 Beamforming
    유사주제 논문( 32)
인용/피인용
' Practical antenna beamforming transceiver designs for multiple antenna systems' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • beamforming
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
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' Practical antenna beamforming transceiver designs for multiple antenna systems' 의 참고문헌

  • Y. Liu, T. Wong, and W. W. Hager, Traning signal design for estimation ofcorrelated MIMO channels with colored inference, IEEE Trans. Signal Process.,vol. 55, pp. 1486 ? 1497, Apr. 2007.
  • Y. Li, Pilot-symbol-aided channel estimation for OFDM in wireless systems, IEEE Trans. Veh. Technol., vol. 49, pp. 1207?1215, Jul. 2000.
  • X. Qu, Z. Wan, H. Liu, and M. Li, Performance analysis of MIMO MRC systems, in Wireless Communications, Networking and Mobile Computing, 2009.WiCom 09. 5th International Conference on, Sept. 2009, pp. 1 ? 4.
  • X. Cai and G. Giannakis, Error probability minimizing pilots for OFDM withM-PSK modulation over Rayleigh-fading channels, IEEE Trans. Veh. Technol.,vol. 53, pp. 146?155, Jan. 2004.71
  • Wireless HD Consortium.
  • W. Zhang, X.-G. Xia, and P. Ching, Optimal training and pilot pattern designfor OFDM systems in Rayleigh fading, IEEE Trans. Broadcast., vol. 52, pp.505?514, Dec. 2006.
  • S. Hur, T. Kim, D. J. Love, J. V. Krogmeier, T. A. Thomas, and A. Ghosh, Multilevel millimeter wave beamforming for wireless backhaul, in in Proc.,IEEE Globecom Workshops, Houston, TX, 2011,, May. 2011, pp. 270 ? 273.
  • S. Coleri, M. Ergen, A. Puri, and A. Bahai, Channel estimation techniquesbased on pilot arrangement in OFDM systems, IEEE Trans. Broadcast., vol. 48,pp. 223?229, 2002.
  • S. Adireddy, L. Tong, and H. Viswanathan, Optimal placement of training forfrequency-selective block-fading channels, IEEE Trans. Inf. Theory, vol. 48, pp.2338?2353, Aug. 2002.
  • R. Wahl and T. Layh, M.and Eibert, Wave propagation inside and aroundvehicles in dynamic time variant scenarios, in IEEE, VTC Spring, Melbourne,Vic., 2006, vol. 4.
  • R. Negi and J. Cioffi, Pilot tone selection for channel estimation in a mobileOFDM system, IEEE Trans. Consum. Electron., vol. 44, pp. 1122?1128, Aug.1998.
  • O. Oliaei, A two-antenna low-IF beamforming MIMO receiver, in Proc. IEEEGlobal Commun. Conf. (GLOBECOM 07), Washington, D.C.
  • N. Tran, H. Tuan, and H. Nguyen, Superimposed training designs for spatiallycorrelated MIMO-OFDM systems, IEEE Trans. Wireless Commun., vol. 9, pp.876 ? 880, Mar. 2010.
  • M.-G. Garcia, S. Zazo, and J. Paez-Borrallo, Pilot patterns for channel estimationin OFDM, IEEE Trans. Commun., vol. 36, pp. 1049?1050, 2000.
  • M. Skolnik, Introduction to Radar Systems, 2nd ed. McGraw-Hill, 1987.
  • M. Morelli and U. Mengali, A comparison of pilot-aided channel estimationmethods for OFDM systems, IEEE Trans. Signal Process., vol. 49, pp. 3065?3073, Dec. 2001.
  • M. Dong and L. Tong, Optimal design and placement of pilot symbols forchannel estimation, IEEE Trans. Signal Process., vol. 50, pp. 3055?3069, Dec.2002.
  • K.-T. Jo, Y.-C. Ko, C.-G. Park, and J.-S. Park, Multiple-antenna post lownoise amplifier RF combining, in Proc. IEEE Global Commun. Conf. Workshops(GLOBECOM 09), Honolulu, HI.
  • K. Sarabandi, E. Li, and A. Nashashibi, Modeling and measurements of scatteringfrom road surfaces at millimeter-wave frequencies, IEEE Trans. AntennasPropag., vol. 45, pp. 1679 ? 1688, Nov. 1997.
  • K. Sarabandi and E. Li, Effect of radar polarization on detectability of debrison roads at millimeter-wave frequencies, in IEEE Antennas and PropagationSociety Int. Symposium, 1999, vol. 4.
  • K. Rajawat and A. Chaturvedi, Near optimal training sequences for low complexitysymbol timing estimation in MIMO systems, IEEE Trans. Commun.,vol. 58, pp. 281 ? 288, Jan. 2010.
  • J. Manton, Optimal training sequences and pilot tones for OFDM systems, IEEE Commun. Lett., vol. 5, pp. 151?153, Apr. 2001.
  • J. K. Moon and S. I. Choi, Performance of channel estimation methods forOFDM systems in a multipath fading channels, IEEE Trans. Consum. Elec-tron., vol. 46, pp. 161?170, Feb. 2000.
  • J. Jo, Channel sounding and signal design for wireless mimo channels, Ph.D.dissertation, NYU Polytechnic School of Engineering, New York, USA, Jan. 2008.
  • J. H. Kotecha and A. Sayeed, Transmit signal design for optimal estimation ofcorrelated MIMO channels, IEEE Trans. Signal Process., vol. 52, pp. 546 ? 557,Feb. 2004.
  • J. D. Fredrick, Y. Wang, and T. Itoh, A smart antenna receiver array usinga single RF channel and digital beamforming, in Proc. IEEE Micro. Symp.(MTT 02), vol. 1.68
  • J. Bentley, Programming Pearls (2nd ed.). Addison-Wesley, 2000.
  • I. Barhumi, G. Leus, and M. Moonen, Optimal training design for MIMOOFDM systems in mobile wireless channels, IEEE Trans. Signal Process.,vol. 51, pp. 1615?1624, Jun. 2003.
  • H. Tuan, H. Kha, H. Nguyen, and V.-J. Luong, Optimized training sequencesfor spatially correlated MIMO-OFDM, IEEE Trans. Wireless Commun., vol. 9,pp. 2768 ? 2778, Sep. 2010.72
  • H. Minn and N. Al-Dhahir, Optimal training signals for MIMO OFDM channelestimation, IEEE Trans. Wireless Commun., vol. 5, pp. 1158?1168, May 2006.
  • G. L. St uber, Principles of Mobile Communication (2nd ed.). Kluwer AcademicPublishers Norwell, MA, USA, 2001.
  • G. Arfken, Mathematical Methods for Physicists, 3rd ed. Orlando, FL: AcademicPress, 1985.
  • D. Shen, Z. Diao, K.-K. Wong, and V. Li, Analysis of pilot-assisted channelestimators for OFDM systems with transmit diversity, IEEE Trans. Broadcast.,vol. 52, pp. 193?202, Jun. 2006.70
  • D. Katselis, E. Kofidis, and S. Theodoridis, On training optimization for estimationof correlated MIMO channels in the presence of multiuser interference, IEEE Trans. Signal Process., vol. 56, pp. 4892 ? 4904, Oct. 2008.
  • C. Wang, Y. Hao, Z. Haiying, K. Kang, and Z. Tang, A 60ghz LNA with4.7dB NF and 18dB gain using interstage impedance matching technique in90nm CMOS, in in Proc., IEEE ICMTCE, Beijing, China, 2011, May. 2011,pp. 270 ? 273.
  • B. Song, L. Gui, and W. Zhang, Comb type pilot aided channel estimation inOFDM systems with transmit diversity, IEEE Trans. Broadcast., vol. 52, pp.50?57, Mar. 2006.
  • B. Razavi, RF microelectronics. Prentice Hall PTR, 2001.
  • B. Hassibi and B. Hochwald, How much training is needed in multiple-antennawireless links? IEEE Trans. Inf. Theory, vol. 49, pp. 951?963, Apr. 2003.
  • Andrew J. Viterbi, CDMA Principles of Spread Spectrum Communication.Addison-Wesley, 1995.
  • AWE Communications GmbH, An introduction to winprop time variant.
  • A. R. Bahai, B. R. Saltzberg, and M. Ergen, Multi-Carrier Digital Communica-tions: Theory and Application of OFDM. New York: Kluwer Academic/Plenum,1999.69
  • ?[1] I. Sarris and A. Nix, Ricean K-factor measurements in a home and an officeenvironment in the 60 GHz band, in Mobile and Wireless CommunicationsSummit, 2007. 16th IST, Budapest, Hungary.
  • ??, Beamforming MIMO receiver with reduced hardware complexity, inProc. IEEE Inter. Symp. on Cir. and Sys. (ISCAS 07), New Oreleans, LA.
  • (2009) IEEE 802.15 WPAN Millimeter Wave Alternative PHY Task Group 3c.[Online]. Available: http://www.ieee802.org/15/pub/TG3c.html