基于Schmidt正交化的多天线选择复用

周华; 马敏; 杨大成

基于Schmidt正交化的多天线选择复用

计量
- 文章访问数: 2055
- HTML全文浏览量: 57
- PDF下载量: 652
- 被引次数: 0
出版历程
- 收稿日期: 2003-06-15
- 修回日期: 2003-12-19
- 刊出日期: 2004-12-19

Selected Transmission of Multiple Antennas Based on Schmidt Orthogonalization

摘要

摘要: 该文从提高信道传输有效性的角度，提出了一种新的多天线选择发送策略--贪婪搜索(GS)法，使用这种方法挑选出使容量最大化的发送天线组合作为传输信号的天线。此法在结合注水(waterfilling)法进行天线功率分配的情况下，与理想的全天线注水法相比，可以减小发射机的复杂度，在独立信道下传输容量略有损失，在相关信道下可以提高传输容量，并且所付出的代价是仅需要对信道矩阵进行Schmidt正交化变换。这种方法一般用于信道矩阵列不满秩，即发送端天线数大于接收端天线数，发送端已知信道矩阵的情况(与注水法结合)或者接收端已知信道矩阵的情况(等功率分配)。
- MIMO; 信道容量; Schmidt正交化; 奇异值分解
Abstract: A new selected transmission scheme of multiple antennas is proposed, named Greedy Search (GS) method. The transmit antennas selected from all antennas can be used as the active transmit antennas. When, used with waterfilling power allocation, GS method can decrease the complexity of signal design on antennas, compared with Waterfilling power allocation on all Antennas (WA). The capacity loss over WA in independent fading channels is rather small, moreover, this method can get capacity gain over WA in spatial dependent fading channels. The cost of capacity gain of GS is the necessity of Schmidt orthogonalization on the channel matrix. GS can be used when the channel matrix is not column-full-rank, i.e., the number of transmit antennas is greater than that of receive antennas, and the transmitter can get the full channel matrix information (used with waterfilling power allocation); or; the receiver can get the full channel matrix information (used with equal power allocation).

HTML全文

参考文献(1)

Telatar I E. Capacity of multi-antenna Gaussian channels[J].Tech. Rep., ATT Bell Laboratories Internal Technical Memorandum 1995, published in the European Transactions on Telecommunications, Nov/Dec 1999. [2]Foschini G J, Gans M J. On limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Communications.1998, 6(3):311-335[2]Tarokh V, Seshadri N, Calderbank A R. Space-time codes for high data rate wireless communications: performance criterion and code construction. IEEE Trans. on Info. Theory, 1998,JT-44(2): 744-765.[3]Tarokh V, Seshadri N, Calderbank A R. Space-time block code from orthogonal designs. IEEE Trans. on Info. Theory, 1999, IT-45(4): 1456-1467.[4]Foschini G J. Layered space-time architecture for wireless communications in a fading environment when using multi-element antennas[J].Bell Labs Tech. J.1996, 1(2):41-59[5]Foschini G J, Golden G, Valenzuela R, Wolniansky P. Simplified processing for high spectral efficiency wireless communcation employing multi-element arrays[J].IEEE Journal on Selected Areas in Communcations.1999, 17(11):1841-1852[6]Gore D, Heath R, Paulraj A. Statistical antenna selection for spatial multiplexing systems. ICC 2002, 04/28/2002-05/02/2002, New York, USA, 2002, vol.1: 450-454.[7]Gore D A, Heath R W, Paulraj A J. Transmit selection in spatial multiplexing systems[J].IEEE Communications Letters.2002, 6(11):491-493[8]Heath R W, Sandhu Jr, Paulraj A. Antenna selection for spatial multiplexing systems with linear receivers[J].IEEE Communications Letters.2001, 5(4):142-144[9]Wei Yu, Wonjong Rhee, Stephen Boyd, Cioffi John M. Iterative waterfilling for Gaussian vector multiple access channels. IEEE Trans. on Info. Theory, 2003, IT-22(5): 937-948.[10]Cover Th M, Thomas J A. Elements of Information Theory, New York, John Wiley Sons, Inc.1991: 502-503.[11]陈景良,陈向晖.特殊矩阵.北京:清华大学出版社,2000:328-335.[12]张贤达.信号处理中的线性代数.北京:科学出版社,1997:166-167.[13]Stege M.[J].Jelitto J, Stege M, et al.. A multiple input-multiple output channel model for simulation of TX-and RX-diversity wireless system. IEEE VTC2000fall, USA.2000,:-Pedersen K I.[J].Andersen J B. A stochastic multiple-input-multiple-output radio channel model for evaluation of space-time coding algorithms. IEEE VTC2000fall, USA.2000,:-

施引文献

资源附件(0)

访问统计