期刊文献+

MIMO中继系统中基于失真信道的联合收发机设计 被引量:1

Joint Linear Transceiver Design for MIMO Relay Systems Based on Channel Estimation Errors
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摘要 在MIMO中继系统中,基于完全信道状态信息的基站、中继节点和终端联合收发机设计方案能够改善系统的误比特率性能,在放大转发(AF)中继的基础上提出了一种基于不完全信道状态信息的联合收发机设计方案。新方案在基站和中继节点的功率都受限条件下,将信道估计误差建模为高斯随机变量,以最小均方误差(MMSE)为准则,采用迭代算法,得到了基站预编码矩阵、中继转发矩阵和终端解码矩阵。该方案与不考虑信道估计误差的方案相比,能够有效地改善系统的均方误差和误比特率性能。 In MIMO relay system, the scheme of designing the joint linear transmitters and the receiver considering the joint source, relay and destina- tion based on perfect channel state information (CSI) is derived. Based on this, the paper considering the channel estimate errors modeled as Gaussian random variables and under power constraint at both the source and the relay node, the transmitters and receiver could be realized through a joint iterative algorithm. Compared with the existing methods, the results show that the proposed scheme could effectively improve the BER performance and reduce the minimum mean square error of the system.
出处 《电视技术》 北大核心 2013年第7期135-137,共3页 Video Engineering
基金 国家自然科学基金项目(61101209) 上海市自然科学基金项目(11ZR1426600)
关键词 中继 收发机 最小均方误差 放大转发 relay transceiver MMSE AF
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参考文献10

  • 1JOHAM M, UTSCHICK W,NOSSEK J A. Linear transmit processing in MIMO communications systems [ J ]. IEEE Trans. Signal Processing, 2005,53 (8) :2700-2712.
  • 2吴德操,李方伟,朱江.基于中继技术的LTE-A终端省电方案[J].电视技术,2011,35(11):58-60. 被引量:4
  • 3许道峰,杨绿溪,黄永明.多用户MIMO下行链路线性收发机设计[J].电子与信息学报,2009,31(2):405-409. 被引量:1
  • 4GUAN Wei, LUO Hanwen. Joint MMSE transceiver design in non-regen- erative MIMO relay systems [ J ]. IEEE Communications Letters,2008,12 (7) :517-519.
  • 5TSENG F S,WU W R, WU J Y. Joint source/relay precoder design in nonregenerative cooperative systems using an MMSE criterion[ J]. IEEE Trans. Wireless Communication,2009,8(10) :4928--4933.
  • 6ZHANG B, WANG X, NIU K, et al. Joint linear transceiver design for non-regenerative MIMO relay systems [ J ]. Electronics letters, 2009,45 (24) :1254-1256.
  • 7ZHANG Bin, HE Zhiqiang, NIU Kai, et al. Joint linear transceiver design in amplify-and-forward MIMO relay system using an MMSE criterion [ C l// Prec. IEEE International Conference on Network Infrastructure and Digital Content, 2009. [S. l. ] :IEEE Press,2009:936-940.
  • 8ZHAI Chao, LI Xiaohui, HEI Yongqiang. Joint linear transceiver design for uplink multiuser non-regenerative MIMO relay systems[ C]//Proc. 7th International Conference on Wireless Communications, Networking and Mobile Computing. [ S. l. ] :IEEE Press,2011:1-4.
  • 9DING Minhua, BLOSTEIN S D. MIMO minimum total MSE transceiver design with imperfect CSI at both ends [ J ]. IEEE Trans. Signal Process- ing,2009,57 (3) :1141-1150.
  • 10邹俊,刘伟,罗汉文,俞晖,马继鹏.多进多出中继系统中基于失真信道估计的线性预编码[J].上海交通大学学报,2011,45(7):1050-1053. 被引量:5

二级参考文献34

  • 1Telatar I E. Capacit of multi-antenna Gaussian channels [J]. European Transas. Telecommun., 1999, 10(6): 585-595.
  • 2Spencer Q H, Swindlehurst A L, and Haardt M. Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels [J]. IEEE Trans. on Sig. Process., 2004, 52(2): 461-471.
  • 3Choi L U and Murch R D. A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach [J]. IEEE Trans. on Wireless Commun., 2004, 3(1): 20-24.
  • 4Wong K K, Murch R D, and Letaief K B. A joint-channel diagonalization for multiuser MIMO antenna systems [J]. IEEE Trans. on Wireless Commun., 2003, 2(4): 773-786.
  • 5Schubert M and Boche H. Solution of the multiuser downlink beamforming problem with individual SINR constraints[J].IEEE Trans. on Veh. Technol., 2004, 53(1): 18-28.
  • 6Schubert M and Boche H. Iterative multiuser uplink and downlink beamforming under SINR constraints [J]. IEEE Trans. on Sig. Process., 2005, 53(7): 2324-2334.
  • 7Vishwanath S, Jindal N, and Goldsmith A. Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels [J]. IEEE Trans. on Info. Theory, 2003, 49(10): 2658-2669.
  • 8Fischer R F H, Windpassinger C, Lampe A, and Huber J B. Space-time transmission using Tomlinson Harashima precoding [C]. International ITG Conference on Source and Channel Coding, Berlin, Jan. 2002: 139-147.
  • 9Hochwald B M, Peel C B, and Swindlhurst A L. A vector- perturbation technique for near-capacity multi-antenna multi-user communication-part Ⅱ: perturbation [J]. IEEE Trans. on Comm., 2005, 53(3): 537-544.
  • 10Taherzadeh M, Mobasher A, and Khandani A. Communication over MIMO broadcast channels using Lattice-basis reduction [J]. IEEE Trans. on Info. Theory, 2007, 53(12): 4567-4582.

共引文献7

同被引文献14

  • 1彭国祥,庄铭杰,林比宏.常见分集合并系统的性能分析[J].电讯技术,2005,45(6):58-62. 被引量:7
  • 2WANG K, WANG X D, XU W Q, et al. Coordinated linear pre- coding in downlink multicell MIMO-OFDMA networks [ J]. IEEE Trans. Signal Processing, 2012, 60(8) : 4264-4277.
  • 3HONCHARENKO W, BERTONI H L, DAILING J L. Bilateral av- eraging over receiving and transmitting areas for accurate measure- ments of sector average signal strength inside buildings [ J ]. IEEE Trans. Antennas and Propagation, 1995, 43(5) :508-512.
  • 4ERCEG V, FORTUNE S J, LING J, et al. Comparison of a com- puter based propagation toll with experimental data collected in ur- ban microcellular environments[ J]. IEEE Journal on Selected Areas in Communication, 1997, 15 (4) : 67784.
  • 5SALO J, EL SALLABI H M, VAINIKAINEN P. Statistical analysis of the muhiple scattering radio channel [ J]. IEEE Trans. Antennas and Propagation,2006,54 ( 11 ) : 3114-3124.
  • 6SALO J, El SALLABI H M, VAINIKAJNEN P. The distribution of the product of independent Rayleigh random variables [ J ]. IEEE Trans. Antennas and Propagation, 2006,54 (2) : 639-643.
  • 7UYSAL M. Maximum achievable diversity order for cascaded Ray- leigh fading channels[ Jl. IEEE Electron Letter, 2005, 41 (23) : 1289-1290.
  • 8GEORGE K K, NIKOS C S, P T M. N * Nakagami: A novel sto- chastic model for cascaded fading channels [J]. IEEE Trans. Com- munications, 2007, 55 (8) : 1453-1458.
  • 9SIMON M K, ALOUINI M S. Digital Communication over Fading Channels [ M]. 2nd ed. Hoboken, New Jersey: John Wiley & Sons Press, 2005.
  • 10ADAMCHIK V S, MARICHEV O I. The algorithm for calculating in- tegrals of hypergeometric type functions and its realization in reduce system[ C]//Proc. International Symposium on Symbolic and Algebra- ic Computation. Tokyo, Japan: IEEE Press, 1990:212-224.

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