基于空时分组码及空频分组码的OFDM系统性能分析

讨论了正交频分复用系统中空时分组码与空频分组码的基本原理,并对信道条件为快变或慢变的多径信道下的两种系统误码性能进行分析与比较,指出在慢变信道条件下采用空时分组码的系统可取得较空频分组码系统更佳的性能。     

MIMO-OFDM系统的原理及性能分析

本文简要介绍了MIMO-OFDM系统的发展、原理,详细介绍了MIMO-OFDM中用到的编码技术,空时码OFDM系统,空频码OFDM系统,并且通过仿真,将其性能进行了比较.     

空时编码在瑞利衰落信道下的性能分析

以正交空时分组码为例讨论了空时编码技术的性能特征。给出了各种STC-OFDM系统的BER性能。理论分析和仿真结果表明,STBC-OFDM系统在频率选择性的瑞利衰落信道下,性能优于其它STC-OFDM系统。     

基于差分空时分组码的OFDM系统的性能分析

本文介绍了差分空时分组码的编译码原理,研究了采用差分空时分组码的OFDM系统（DSTBC-OFDM）性能,仿真结果表明,DSTBC-OFDM系统的性能随着子载波数及子信道数的增加而提高。通过仿真,还证明了多天线技术与OFDM技术相结合,系统性能可得到提高,更适用于多径无线信道,而且采用差分编码技术,接收端不需要信道估计,可以大大降低接收机的复杂度。     

快衰落信道中空时分组码的性能分析

通过对空时分组码在快衰落信道的研究,说明在快衰落信道空时分组码性能衰减的原因,并且提出了用插入正交导频序列对信道进行估计的方法。通过对快衰落信道估计误差引起的性能降低的仿真表明误差地板是由于初始信道估计误差和导频符号组正交性的损失引起的,信道时变越快,误差地板越高。     

MIMO-OFDM系统基于导频信道估计算法研究

介绍MIMO-OFDM系统,文章着重介绍分析了MIMO-OFDM系统的各种信道估计技术,通过对LS,MMSE,基于DFT的信道估计算法的仿真,得到三种算法的性能对比图。仿真结果显示LS性能虽不及其他两种估计算法,但是复杂度最低;MMSE性能较好,复杂度却高;DFT信道估计算法性能比LS好,复杂度也较低。     

相关衰落信道中空时分组码的“地板效应”分析

天线相关性造成了系统性能的“地板效应”。基于此，文章分析了MIMO信道的相关模型。以相关信道中的空时分组码的成对错误概率为胜能指标，研究了天线相关矩阵的秩与分集增益的关系，在理论上解释了“地板效应”，并进行了仿真验证。结果表明在天线相关性很大的环境，若能设法减小相关系数，系统性能会有较大幅度提升。     

频率选择性衰落信道中的空时分组编码系统性能研究

空时分组码（STBC）由于具有较高的分集增益和简单的编译方法，从而得到普遍关注。但是它只适于频率平坦信道，而实际的信道多为频率选择性信道。丈中将考虑两种适用于频率选择性信道的空时分组码系统方案：OFDM-STBC和SC／FDE-STBC方案，即考虑空时分组码与正交频分复用或单载波频域均衡结合。通过对OFDM-STBC和SC／FDE-STBC系统性能仿真结果的比较和分析，表明SC／FDE-STBC方案要优于OFDM-STBC方案。此外，文中也给出一些细致的仿真性能的观察。     

MIMO衰落信道上MR-MQAM性能分析

使用矩生成函数方法分别推导了Nakagami衰落信道上多分辨率M进制正交幅度调制(MR-MQAM)的平均误比特率(BER)闭合表达式,发送和接收分别采用选择合并/最大比合并(SC/MRC)和正交空时分组编码(OSTBC).数值计算结果表明在相同的天线设置条件下,SC/MRC方案的平均误比特率性能要优于OSTBC.     

相关衰落信道上广义矩形MQAM的性能

研究相关多输入多输出Nakagami衰落信道上的正交空时分组编码广义矩形M进制正交幅度调制（MQAM）方案,使用矩生成函数方法推导其平均误符号率（SEP）的精确闭合表达式。比较了独立同分布Nakagami衰落信道上和相关Nakagami衰落信道上广义矩形MQAM的平均SEP性能。数值计算结果阐明Nakagami衰落系数和天线间的相关性对正交空时分组编码广义矩形MQAM平均SEP性能的影响。     

发射天线选择空时分组码的误符号率分析

研究瑞利衰落信道上使用发射天线选择和空时分组编码的多输入多输出系统的误码性能。使用矩生成函数法和Apell超几何函数、Lauricella多变量超几何函数,推导采用相干检测的M进制相移键控(MPSK)和广义矩形M进制正交幅度调制(GR-MQAM)的平均符号错误概率(SEP)的精确闭合表达式。数值计算结果表明:增加发射天线或/和接收天线数可以改善MIMO瑞利衰落上MPSK和GR-MQAM的平均SEP性能。     

Nakagami-m衰落信道下空时分组码的性能估计

基于等效单输入单输出SISO (Single-input Single-output) 模型,利用矩量母函数 (MGF) 分析法,空时分组码STBC (Space-Time Block Coding) 的误符号率是可以得到其准确闭式表达式的.对于独立同分布Nakagami-m衰落信道下的空时分组码的性能进行了研究,给出了采用M-PSK 和M-QAM调制方案的不同空时分组编码矩阵误符号率的闭式解以及基于闭式解的解析性能结果,通过蒙特卡洛仿真验证了闭式解的准确性.还从调制方案的角度对于几种新的空时分组码的性能进行了一些新的讨论.     

OFDM-MQAM在相关Nakagami-m衰落信道上的性能分析

本文研究频率选择性相关Nakagami衰落信道上采用最大比合并(MRC)分集接收的正交频分多路复用M进制正交幅度调制(OFDM-MQAM)系统.使用矩生成函数(MGF)方法和高斯超几何函数、Appell超几何函数或Lauricella函数,推导任意衰落参数频率选择性相关Nakagami衰落信道上MRC分集接收的OFDM-MQAM系统的误符号率(SER)性能,获得了OFDM-MQAM误符号率的一个新的解析表达式.数值计算结果阐明了多径路径数、Nakagami衰落参数和信道脉冲响应抽头间的相关系数对OFDM-MQAM误符号率性能的影响.     

多用户MIMO-OFDM系统中一种子载波分配算法

介绍了多用户MIMO-OFDM系统中的Hungarian子载波分配算法,然后针对其计算复杂度过高的缺陷,提出一种局部最优的子载波分配算法,并与Hungarian子载波分配算法进行仿真比较。结果表明,该算法使系统总数据速率仅下降1．7％,而其计算复杂度却大幅减小,提高了资源分配的效率,符合高速无线系统资源实时分配的要求。     

Adaptive power permutation modulation: A novel transmission technique for increased spectral efficiency over fading channels

In this study, we propose a novel transmission technique for multiple-input multiple-output (MIMO) systems as a partial response to ever-growing demand for the increased spectral efficiency. The introduced scheme, called adaptive power permutation modulation (APPM), relies on the distinct power allocations on the conventionally modulated symbols to convey a certain number of additional information bits. Unlike the traditional power allocation strategies which generally aim to combat the channel fading and entail some form of channel state information (CSI) at the transmit side, APPM utilizes different power levels to convey additional information and does not necessitate any kind of CSI at the transmitter. The proposed approach is applied to two well-known MIMO configurations, Alamouti space-time block coding and zero-forcing beamforming, by embracing a general frequency-selective fading scenario under digital phase modulation. Both the modulation order and the power allocation levels on the modulated symbols are adaptively determined based on a set of additional information bits. It is shown that in addition to the conventionally modulated symbols, an extra sequence of $$ bits can be conveyed without any significant additional complexity where $$ equals the number of subcarriers. Also, it is demonstrated that considerable transmit power savings can be attained when compared with the standard schemes under a certain target spectral efficiency.     

MIMO-OFDM channel estimation method utilizing correlation in time domain for B3G-TDD uplink

This article proposes a simple pilot-aided channel estimation method based on correlation in time domain for multiple-input and multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. Pilot symbols in all transmit antennas are generated from different circular shifting of a certain sequence. Through once correlation, the receiver can obtain time-domain pulse responses for channel fading from all transmit antennas to a certain receive antenna, from which channel estimation in frequency domain can be obtained. Beyond 3G time-division duplex (B3G-TDD) uplink is introduced, and the channel estimation method is used in it. Theoretical analysis and simulation are both carried out. Mean square error (MSE) performance shows that the method can exhibit precise estimation. Complexity analysis proves it requires very low complexity. System simulation result shows that it guarantees the performance of B3G-TDD uplink very well.     

瑞利衰落下的空时频(STF)分组编码OFDM系统

基于正交频分复用(OFDM)系统，提出了一种发射分集方案——比特交织空时频(BI—STF)分组编码。其基本思路是：应用子载波分群方法并选择合适的系统参数，将OFDM系统转化成分群OFDM(G-OFDM)，对每个群分别进行空时频分组编码(GSTFBC)；在编码比特被重组和映射成GSTF分组编码前进行合理的比特交织，并按一定的规则分配给各个单群子载波进行酉星座旋转(CR)预编码。随后讨论了该方案的频谱利用率和成对错误概率(PEP)。仿真结果表明，同其它编码方案相比，提出的方案能在频率选择性瑞利衰落信道下获得最大的空间分集和频率分集增益，且只有较低的解码复杂性。     

低密度格码在OFDM系统中的应用与性能仿真

信道编码是OFDM系统的关键技术之一,低密度格码（Low Density Lattice Codes, L DLC）则是一种能高效译码且达到AWGN信道容量的新型编码技术,它兼具格码和低密度奇偶 校验码（Low Density Parity Codes, LDPC）的特点。基于LDLC码编译码原理,给出了LDLC 码作为前向纠错编码技术应用于OFDM系统的方案,在MATLAB平台下仿真研究了LDLC-OFDM系 统 在Rayleigh衰落信道下的性能,结果表明LDLC码很大程度地改善了OFDM系统的误码率性能, 且优于LDPC码。     

A new subspace method for blind estimation of selective MIMO‐STBC channels

In this paper, a new technique for the blind estimation of frequency and/or time‐selective multiple‐input multiple‐output (MIMO) channels under space‐time block coding (STBC) transmissions is presented. The proposed method relies on a basis expansion model (BEM) of the MIMO channel, which reduces the number of parameters to be estimated, and includes many practical STBC‐based transmission scenarios, such as STBC‐orthogonal frequency division multiplexing (OFDM), space‐frequency block coding (SFBC), time‐reversal STBC, and time‐varying STBC encoded systems. Inspired by the unconstrained blind maximum likelihood (UML) decoder, the proposed criterion is a subspace method that efficiently exploits all the information provided by the STBC structure, as well as by the reduced‐rank representation of the MIMO channel. The method, which is independent of the specific signal constellation, is able to blindly recover the MIMO channel within a small number of available blocks at the receiver side. In fact, for some particular cases of interest such as orthogonal STBC‐OFDM schemes, the proposed technique blindly identifies the channel using just one data block. The complexity of the proposed approach reduces to the solution of a generalized eigenvalue (GEV) problem and its computational cost is linear in the number of sub‐channels. An identifiability analysis and some numerical examples illustrating the performance of the proposed algorithm are also provided. Copyright © 2009 John Wiley & Sons, Ltd.