基于MIMOOFDM系统的正交空时分组码毕业论文外文翻译

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1、On Orthogonal Space-Time Block Codes for MIMO-OFDM Systems Space-time code in mobile communication system, and orthogonal desing in multiple- antennas scneme are dicsussed. By the methods, data is encoded using a space- time block code and is split into several streams which are simultaneously trans

2、mitted by antennas. So a maximum- likelihood decoding algorithm can be used at the receiver to achieve the maximum diversity orderIntroduction Most work on wireless communications had focused on having an antenna array at only one end of the wireless link usually at the receiver. Seminal papers by G

3、erard J. Foschini and Michael J. Gans1, Foschini2 and Emre Telatar3 enlarged the scope of wireless communication possibilities by showing that for the highly-scattering environment substantial capacity gains are enabled when antenna arrays are used at both ends of a link. An alternative approach to

4、utilizing multiple antennas relies on having multiple transmit antennas and only optionally multiple receive antennas. Proposed by Vahid Tarokh, Nambi Seshadri and Robert Calderbank, these spacetime codes (STCs) achieve significant error rate improvements over single-antenna systems. Their original

5、scheme was based on trellis codes but the simpler block codes were utilized by Siavash Alamouti,and later Vahid Tarokh, Hamid Jafarkhani and Robert Calderbank to develop spacetime block-codes (STBCs) 4. STC involves the transmission of multiple redundant copies of data to compensate for fading and t

6、hermal noise in the hope that some of them may arrive at the receiver in a better state than others. In the case of STBC in particular, the data stream to be transmitted is encoded in blocks, which are distributed among spaced antennas and across time. While it is necessary to have multiple transmit

7、 antennas, it is not necessary to have multiple receive antennas, although to do so improves performance. This process of receiving diverse copies of the data is known as diversity reception and is what was largely studied until Foschinis 1998 paper. An STBC is usually represented by a matrix. Each

8、row represents a time slot and each column represents one antennas transmissions over time. Here, sij is the modulated symbol to be transmitted in time slot i from antenna j. There are to be T time slots and nT transmit antennas as well as nR receive antennas. This block is usually considered to be

9、of length TThe code rate of an STBC measures how many symbols per time slot it transmits on average over the course of one block. If a block encodes k symbols, the code-rate is Only one standard STBC can achieve full-rate (rate 1) Alamoutis codeOrthogonality STBCs as originally introduced, and as us

10、ually studied, are orthogonal. This means that the STBC is designed such that the vectors representing any pair of columns taken from the coding matrix is orthogonal. The result of this is simple, linear, optimal decoding at the receiver. Its most serious disadvantage is that all but one of the code

11、s that satisfy this criterion must sacrifice some proportion of their data rate (see Alamoutis code).Moreover, there exist quasi-orthogonal STBCs that achieve higher data rates at the cost of inter-symbol interference (ISI). Thus, their error-rate performance is lower bounded by the one of orthogona

12、l rate 1 STBCs, that provide ISI free transmissions due to orthogonality.Higher order STBCs Tarokhet al. discovered a set of STBCs that are particularly straightforward, and coined the schemes name. They also proved that no code for more than 2 transmit antennas could achieve full-rate. Their codes

13、have since been improved upon (both by the original authors and by many others). Nevertheless, they serve as clear examples of why the rate cannot reach 1, and what other problems must be solved to produce good STBCs. They also demonstrated the simple, linear decoding scheme that goes with their cod

14、es under perfect channel state information assumption.4 transmit antennas Two straightforward codes for 4 transmit antennas are:and These codes achieve rate-1/2 and rate-3/4 respectively, as for their 3-antenna counterparts.C4,3 / 4 exhibits the same uneven power problems as C3,3 / 4. An improved ve

15、rsion of C4,3 / 4 iswhich has equal power from all antennas in all time-slots.Decoding One particularly attractive feature of orthogonal STBCs is that maximum likelihood decoding can be achieved at the receiver with only linear processing. In order to consider a decoding method, a model of the wirel

16、ess communications system is needed. At time t, the signal received at antenna j is:,where ij is the path gain from transmit antenna i to receive antenna j, is the signal transmitted by transmit antenna i and is a sample of additive white Gaussian noise (AWGN). The maximum-likelihood detection rule

17、is to form the decision variables where k(i) is the sign of si in the kth row of the coding matrix, k(p) = q denotes that sp is (up to a sign difference), the (k,q) element of the coding matrix, for i = 1,2.nT and then decide on constellation symbol si that satisfies , withthe constellation alphabet

18、. Despite its appearance, this is a simple, linear decoding scheme that provides maximal diversity.References 1 Gerard J. Foschini and Michael. J. Gans (January 1998). “On limits of wireless communications in a fading environment when using multiple antennas”. Wireless Personal Communications 6 (3):

19、 311335.2 Gerard J. Foschini (autumn 1996). “Layered space-time architecture for wireless communications in a fading environment when using multi-element antennas”. Bell Labs Technical Journal 1 (2): 4159.3 I. Emre Telatar (November 1999). “Capacity of multi-antenna European Transactions on Telecomm

20、unications , 10 (6): 585595.4 Vahid Tarokh, Nambi Seshadri, and A. R. Calderbank (March 1998). Spacetime codes for high data rate wireless communication: Performance analysis and code construction. IEEE Transactions on Information Theory 44 (2): 744765. 译文 基于MIMO-OFDM系统的正交空时分组码 本文介绍了移动通信中的空时码, 针对多天线

21、系统提出了空时分组码的正交设计理论, 可以采用高效的调制技术(QAM,PSK) ,由多天线同时发射。接收端采用最大似然译码可以获得最大的分集增益。并因空时码有很高的频谱利用率, 从而使空时码在未来移动通信及无线局域岗中得到广泛的应用。介绍Alamouti于1998年提出了一种发射端采用两根天线的空时分组码方案, 该方案能够实现最大分集增益和全发射速率, 在接收端使用了简单的最大似然译码。为了将空时分组码推广到多个天线, Vahid Tarokh等基于满分集提出了正交空时分组码。由于正交空时分组编码发射矩阵各行之间的正交性, 可以获得满分集增益, 但是当发射天线数大于2时, 利用复正交设计得到的

22、正交空时分组编码不能达到最大传输速率。为此,H. Jafarkhan等和Tirkkonen等分别提出了两种基于全速率的准正交空时分组编码, 即Jafarkhani 码和TBH 码。JiaHou等在Jafarkhani 码和TBH码的基础上, 讨论了变形Jafarkhani 码和变形TBH 码, 并提出了2种新的准正交编码。在既定的情况下,在特定的数据流传输编码在blocks块, 间隔,将分布在天线和跨越时空。虽然是必要的,它有多个发射天线,这是没有必要有多个接收天线,虽然这样做改进效能。这个过程接收不同的数据备份,是众所周知的最大似然译码,直到1998年Foschini研究论文。空时编码通常用

23、矩阵来表示。在矩阵中，每一行代表一个时间段,而每一列代表每一根天线的传输。正交由于最初的对空时编码做出的研究,并介绍了这样的正交。这意味着,例如既定设计向量任何两个柱代表掠正交编码矩阵。这是简单的结果,线性,最佳解码的接收机。最严重的不利因素是所有之一,同时满足这一标准法典,必须牺牲一些比例的数据传输速率。此外,存在着在利率,以达到更高的数据传输干扰的成本(ISI)。因此,他们的误码率是空时编码的界定标准之一,正交率提供免费传授由于正交码。高阶空时编码方法Tarokhetal等在1998年10月发现了一组空时编码。这是特意直截了当的以创造了这个方案的创始人名字为名。他们也证明了不能超过2个发射

24、天线可以达到的目标。他们的代码。一直以来的改进。然而,作为明确的例子,为什么不能到达率1,其他什么必须解决的问题有如何用空时码接收更好的信号。他们也体现了简单的，直线解码是伴随着他们的编码方案,在完美的信道状态信息。4个发射天线 两个直截了当的代码为4发射天线是:待添加的隐藏文字内容2以及.这些编码实现-1/2比特和-3/4比特的空时编码,从所有具有相同能力的天线可知。译码一个特别吸引人的特征的正交STBC就是这个了最大似然解码,可以较好地实现在接收者对而已线性加工。为了考虑解码方法,无线通信系统的模型是必需的。 在时间t上的信号,天线接收到的是:,是路径获得传送天线吗接收天线是信号通过传送天

25、线i和有一份添加剂白色高斯噪声检测规则的就是要形成的决策变量。满足对于准正交空时分组编码而言, 由于发射矩阵的各行不是完全正交的, 因此在接收端进行最大似然译码时需对信号进行联合检测, 这就使得其译码算法较之正交空时分组编码要复杂一些。由最大似然准则, 其解码过程即求其中, 是映射后的符号。虽然从表面上看,这是一个简单的直线解码方案,提供最大的似然性。参考文献1 Gerard J. Foschini and Michael. J. Gans (January 1998). On limits of wireless communications in a fading environment

26、when using multiple antennas. Wireless Personal Communications 6 (3): 311335.2 Gerard J. Foschini (autumn 1996). Layered space-time architecture for wireless communications in a fading environment when using multi-element antennas. Bell Labs Technical Journal 1 (2): 4159.3 I. Emre Telatar (November

27、1999). Capacity of multi-antenna gaussian channels. European Transactions on Telecommunications , 10 (6): 585595.4 Vahid Tarokh, Nambi Seshadri, and A. R. Calderbank (March 1998). Spacetime codes for high data rate wireless communication: Performance analysis and code construction. IEEE Transactions on Information Theory 44 (2): 744765.