MIMO-OFDM系统中一种有效的信道估计方法

提出了一种MIMO-OFDM(Multiple Input and Multiple Output-Orthogonal Frequency Division Multi-plexing)系统中的信道估计实现方案.该算法采用STBC(Space-Time Block Code)训练序列,利用LMS(Least Mean Square)迭代算法估计信道响应,避免了矩阵的求逆运算,与基于MMSE(Minimum MeanSquare Error)的MIMO信道估计算法相比,具有运算复杂度低、跟踪能力强的优点.计算机仿真结果显示了该算法的有效性和优越性.     

Alamouti空时码在短波信道下的性能分析

为了提升通信系统的有效性和可靠性,在不增加系统带宽和发射功率的情况下,采用空时编码在短波慢、非选择性Rayleigh衰落信道模型的基础上,对Alamouti空时码的性能进行了分析和仿真.结果表明,Alamouti码可以有效地降低短波通信系统的误码率.     

空时编码系统中盲多用户检测方法的研究

文章将空时编码和盲多用户检测相结合,提出了一种适合下行链路的接收机。该方法可以在克服信道衰落的同时抑制多址干扰,在下行链路的接收方只需进行简单解码和盲多用户检测就可以获得同采用多天线接收相同的效果,具有较好的跟踪能力,且采用级联处理,计算量小。Monte Carlo仿真结果证明了其有效性。     

基于差分空时编码的OFDM系统的性能仿真

结合差分空时分组码(DSTBC)技术,对MIMO-OFDM系统中的性能进行了研究。在IEEE 802.16d室内多径环境下,对使用2根发射天线和1根接收天线的MIMO-OFDM系统进行了深入研究。在发射端和接收端,差分空时分组编码和解码技术应用在MIMO-OFDM系统中。为了比较,对使用空时分组编码(STBC)技术MIMO-OFDM通信系统的性能也进行了讨论。     

基于STBC的通信技术的性能优化

为了解决信号传输的主要问题,根据空时分组码(STBC)与垂直分层空时码(V-BLAST)二者各自的性能特点,信道能依据接收端欧氏距离平方最小的准则,选择较优的发送端传输方式,以适应信道的变化。仿真验证:自动更换方案误码率性能最好。接着从矩阵分解的角度,通过与常用检测算法比较可知:GDM-VBLAST扩展信道检测算法,降低MIMO-OFDM通信系统性能的误码率,也能够消除一定的噪声干扰。     

Block‐wise Alamouti schemes for OQAM‐OFDM systems with complex orthogonality

Offset quadrature amplitude modulation‐based orthogonal frequency division multiplexing (OFDM) systems cannot be directly combined with the Alamouti code because of the intrinsic imaginary interference. In this paper, we propose a block‐wise space‐frequency block coding (SFBC) scheme and a block‐wise space‐time block coding (STBC) scheme for offset quadrature amplitude modulation‐based OFDM systems, which achieve bit error rate performances that are close to OFDM systems. The proposed schemes satisfy the orthogonality condition of the Alamouti code in the complex field with guard band/intervals. To improve the spectral efficiency of the block‐wise SFBC scheme, we also consider the case without the guard band. It is observed that only the two innermost subcarriers do not satisfy the complex orthogonality condition when the guard band is removed. Then, a simple equalization scheme is proposed to independently equalize the two innermost subcarriers. Simulation results show that the block‐wise SFBC scheme works well under channels with mild‐to‐moderate frequency selectivity, and the block‐wise (STBC ) scheme suffers less than 1 dB loss under severe frequency selective channels at the bit error rate of 10 ^− 3, when only a simple one tap zero‐forcing equalizer is employed. Copyright © 2016 John Wiley & Sons, Ltd.     

放大转发协作分布式STBC-SC-FDE系统的频率域信道估计与均衡

针对单中继放大转发协作D-STBC-SC-FDE系统,研究了频率选择性衰落信道的频率域估计与均衡,给出了一种基于训练的最小二乘信道估计算法。该算法在Chu序列的辅助下,可在目的端同时估计直接信道S→D和级联信道S→R→D,算法可达最小均方误差。Monte Carlo仿真验证了算法的正确性,仿真结果也表明,信道的估计与均衡性能很大程度上受信道可用发送功率分配方案的影响。     

UMTS MIMO技术标准演进研究

讨论了UMTS移动通信中的多天线——MIMO技术,介绍了空间分集、空间复用与MIMO的概念与分类、基于空间分集的空时码与基于空间复用的分层空时码,详细研究了3GPP UMTS标准演进中的FDD与TDD MIMO方案。     

An insight into space–time block codes using Hurwitz–Radon families of matrices

It is shown that for four-transmitter systems, a family of four-by-four unit-rate complex quasi-orthogonal space–time block codes, where each entry equals a symbol variable up to a change of sign and/or complex conjugation, can be generated from any two independent codes via elementary operations. The two independent groups of codes in the family generally have different properties of diversity, but the codes in each group have the same diversity provided that the differential symbol constellation is symmetric. It is also shown that for four-transmitter systems, an eight-by-four unit-rate complex linear dispersion space–time block code can be constructed by using Hurwitz–Radon families of matrices of size eight such that diversity three is guaranteed even when all symbols are independently selected from any given constellation. This code is so far the only known unit-rate linear dispersion code that has diversity no less than three for four transmitters under any given constellation.     

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.