Fountain码编译码算法结构的改进

在LT码的基础上对Raptor码进行了分析。根据IRA码的结构及其线性时间的编译码特性,提出了Raptor码和IRA码相结合的改进Fountain码结构。研究结果表明,该结构既保持了线性的编译码特性又能有效增强信元的恢复能力。利用其它编码技术与Raptor码相结合是今后进一步的研究方向。     

空间相关信道下基于线性星座的预编码技术

文中首先介绍基于MIM0系统的开环预编码技术,重点讨论如何采用线性星座预编码(LCP)方法对多天线系统进行预处理,使多天线系统获得较高的分集增益与编码增益.然后,对LCP预编码系统在空间相关信道下的差错性能作深入分析,分别对弱相关信道与强相关信道两种不同情况下的LCP预编码性能展开详细讨论.最后,用MATLAB软件进行仿真试验,将经过酉星座旋转处理的预编码系统与V-BLAST多天线传输系统作比较,得出不同相关信道下预编码系统的比特差错概率,并验证相应结论.     

双路径MIMO中继网络预编码盲干扰抑制

针对放大转发的双路径多进多出中继网络由于信道估计误差带来严重的剩余中继间干扰问题,提出了一种未知信道状态下基于行空间预编码的盲干扰抑制方案。新方案通过对发送信号进行交替行空间预编码,将期望接收信号和中继间干扰信号映射到不依赖信道状态信息的正交子空间,从而实现在未知信道状态信息下中继间干扰信号和中继噪声的盲干扰抑制,并从最大化信噪比角度给出最佳预编码设计。仿真结果表明,该方案可以有效地避免链路信道估计误差对中继间干扰抑制算法的影响,在系统性能和容量上优于传统基于信道状态信息的干扰抑制方案。     

Linear diversity precoding design criterion for finite block‐fading parallel MIMO channels

A novel optimal two stage coding for finite set of parallel flat‐fading MIMO channels with single common information source with specific constant rate requirement is derived. The optimality of suggested coding is achieved in terms of the capacity versus outage performance. The well‐known optimal coding rule relies on Gaussian codewords spanned over the whole available finite set of parallel channels. We prove that the equivalent preprocessing to the ideal interleaving is to re‐code independent parallel channels codewords by a linear inner precoder from a special class of unitary precoders complying with the optimality criterion derived in the paper. Performing such linear mixture of codewords sharing common Gaussian block‐wise codebook, the same capacity versus the outage is guaranteed without any interleaving over parallel channels. We utilize a virtual multiple access (VMA) channel approach to derive the optimality criterion. Selected precoders with various space‐time or time‐only domain span were tested against this criterion and we provide the optimality results on variety of the channel parameters. We showed that the temporal processing is the most important one to achieve the optimality of the precoder. A full space‐time precoding does not perform better than one which is temporal‐only. Copyright © 2010 John Wiley & Sons, Ltd.     

On the MMSE‐based multiuser millimeter wave MIMO hybrid precoding design

A hybrid MMSE‐based precoder and combiner design with low complexity is studied in this paper for both the downlink and uplink multiuser millimeter wave MIMO systems. At first, according to the underlying channel knowledge, the phases of the RF precoder and combiner are manipulated by using the MMSE criterion. On the basis of the MMSE‐based analog precoder design, the MMSE‐based digital baseband precoder can be readily derived. Thus, this method combines the advantage of using the MMSE precoding and phase extraction technique to obtain a reasonable solution. The proposed hybrid precoding design will be examined in both the uplink and downlink multiuser MIMO systems. Numerical results are presented to show that the proposed MMSE‐based hybrid precoding design is capable of attaining superior performance in terms of both the spectral efficiency and energy efficiency over the existing designs. Moreover, we will show that the MMSE‐based design can be readily extended to the multiuser millimeter wave MISO systems when only statistical channel state information is available.     

ROD-based hybrid TH precoding and combining for mmWave large-scale MIMO systems

Hybrid precoding is one of key techniques for millimeter wave (mmWave) large-scale multiple-input multiple-output (MIMO) systems. This paper considers a nonlinear hybrid precoding architecture which consists of a nonlinear unit, a reductive digital precoder and a constant modulus radio frequency (RF) precoder, and presents a novel hybrid Tomlinson-Harashima (TH) precoding and combining algorithm. Firstly, due to the intractability of the sum rates maximization problem for such a nonlinear hybrid precoding architecture, a tractable three-stage optimization problem is constructed through the lower bound of the sum rates, which allows the digital precoding matrix, the RF precoding matrix and the RF combining matrix to be optimized sequentially and independently. Then, in order to solve the three-stage optimization problem effectively, a novel row orthogonal decomposition (ROD) is defined. Based on the ROD, it is interesting that the necessary and sufficient condition of the optimal digital precoding matrix can be obtained, and a near-optimal RF precoding matrix can be derived. Finally, the optimization of the RF combining matrix is reformulated as a unimodular quadratic programming and solved by a generalized power method. Theoretical analyses and simulations indicate that the proposed ROD-based hybrid TH precoding and combining algorithm can offer a higher sum rates and a lower bit error rate with a comparable complexity in comparison to the previous works.     

下行多用户MIMO系统中低复杂度块对角化预编码算法

为在保证误码性能的情况下降低块对角化预编码算法计算复杂度,提出一种基于矩阵伪逆与LDL“分解的多用户多输人多输出（MIMO）系统块对角化（BD）预编码改进算法LDLHBD（QR）。算法通过全局信道矩阵伪逆与块QR分解进行零空间计算,避免复杂的矩阵奇异值分解（SVD）,快速实现信道块对角化。并采用能提供均匀子信道增益的LDL“方式对等效信道进行优化分解,实现预编码矩阵设计。仿真结果表明该算法计算复杂度明显降低,并获得了与传统块对角化算法相近的误码率性能。     

下行多用户MIMO传输系统中鲁棒性连续MMSE预编码方案

针对MIMO多用户下行传输系统中,发端仅有不完全的信道状态信息(CSI)的场景,提出了一种鲁棒性的连续最小均方误差(MMSE)预编码方案.与传统的鲁棒性MMSE预编码方案相比较,可以支持接收端配置多根天线,从而接收端可以对接收到的信号进行联合处理.仿真结果表明,与没有考虑信道估计误差影响的方案相比,该方案可以有效地提高系统性能,甚至于消除误码平层.     

多天线认知无线电网络联合资源管理方法

在多天线认知无线电网络中设计发射端与接收端的联合信号处理算法,实现认知系统对授权系统在同一授权频道的无干扰共存.在此基础上,完成空频资源联合建模以及管理方法设计.仿真结果表明,与非共存方法相比,该方法能够在不影响授权系统性能的前提下,有效改善认知系统的通信性能.     

预编码单载波系统中的简单半盲均衡方法

盲均衡具有有效数据传输速率高的优点,但同时又存在计算复杂、运算量大以及收敛速度慢等问题.对此,针对预编码单载波频域均衡系统,提出了一种基于Bussgang算法的半盲均衡算法. 该算法通过灵活设计误差信号从而使得类似的Bussgang算法得以应用,同时通过初值的选取加快了算法的收敛速度. 此算法不需要复杂的矩阵求逆运算,实现简单. 仿真结果表明该算法的性能优于现有的算法.