基于格规约辅助的MIMO系统GMD-TH预编码方案

现有的GMD-TH(Geometric Mean Decomposition-Tomlison Harashima)预编码方案在发射端未对获得MIMO(Multiple-Input-Multiple-Output)信道增益矩阵优化,因而其误码率和分集增益无法获得令人满意的效果.为此,在原有MIMO系统GMD-TH预编码的基础上,提出梁种基于格规约辅助的GMD-TH预编码方案.该方案采用基于格规约的算法对信道矩阵进行优化,经过优化的信道矩阵其列向量之间具有更好的正交性并且向量的长度更短,并且采用优化的信道矩阵提高了GMD-TH预编码MIMO系统的分集增益.仿真结果表明:相比于传统的线性预编码方案,该预编码方案有效地提高了MIMO分集增益,相同误码率下,信噪比降低3dB以上,具有实用价值.     

恒包络预编码算法研究

主要介绍了在大规模MIMO系统中的恒包络预编码算法,描述了该算法提出的背景,介绍了恒包络预编码向量的求解方法.然后重点分析了在非完美信道状态信息条件下的恒包络预编码算法,计算了非完美CSI对恒包络算法的影响,分析表明,该误差所带来的影响与恒包络预编码向量无关,而只与信道估计误差有关,从而可以通过选择合适的估计算法和导频序列,来减少估计误差带来的影响.     

毫米波大规模MIMO系统中低复杂度混合预编码方法

针对毫米波大规模多输入多输出(MIMO)系统混合预编码方案设计的难点,提出了一种低复杂度混合预编码方法。首先基于奇异值分解,构造初始射频(RF)预编码矩阵,然后构造数字预编码矩阵。进而将残差矩阵最大左奇异矢量构造的矢量添加到RF矩阵的最后一列,以更新初始RF矩阵。经过多次迭代,从而形成最终RF预编码矩阵。最后基于最小二乘准则设计数字预编码矩阵。理论分析和仿真结果表明,相比于基于正交匹配追踪(OMP)算法的混合预编码设计方法,该方法在计算复杂度大幅下降的同时,其性能远远优于基于OMP算法的混合预编码方法,同时在数据流数相对较小时,其性能接近最优的全数字预编码设计方法。     

LTE中基于发送分集预编码的译码算法

主要研究了LTE系统中基于发射分集预编码的接收端译码算法。提出了在接收端采用的最大似然（ML）译码算法和最小均方误差（MMSE）译码算法,对这2种译码算法原理进行了分析,并对其性能进行了仿真和比较。仿真结果表明最大似然译码算法的性能比最小均方误差译码算法的性能要好,但LTE中基于空间复用的预编码在接收端可以采用最小均方误差算法进行译码,因此,如果接收端采用最小均方误差译码方案就可以对2种预编码方案进行译码,简化接收端译码的复杂度。     

针对非理想定时同步的多模协作多点传输

针对非理想定时同步对协作多点传输的负面影响,提出了多模协作多点传输算法。通过推导协作波束成形模式和联合处理模式在非理想定时同步条件下的平均可达速率,得到模式选择变量和模式选择门限。在多模协作多点传输算法中,用户首先对定时同步误差进行估计,并计算其模式选择变量和模式选择门限。然后用户选择协作多点传输的下行传输模式,并将其选择结果反馈给协作基站。最后,根据各用户的反馈,协作基站以最大化平均可达传输速率为准则,自适应地在协作波束成形模式和联合处理模式之间切换。仿真结果表明多模协作多点传输算法在定时同步误差较小时,采用联合处理模式,以保持空间复用增益,在定时同步误差较大时,采用协作波束成形模式,以避免用户间的额外干扰。因此,在非理想定时同步误差条件下,多模协作多点传输算法比仅采用协作波束成形模式或联合处理模式的传统协作多点传输算法具有更好的性能。     

自适应调制的预编码SM-MIMO性能分析

SM-MIMO系统可以极大的提高系统容量,在下一代移动通信系统中有着广阔的应用前景;但SM-MIMO系统对信道病态矩阵非常敏感。作为一种优化手段,有限速率反馈预编码技术可以大大提高MIMO系统对衰落信道的鲁棒性,另外,自适应调制编码技术也可以使系统性能和吞吐量得到很好改善。预编码技术和自适应调制编码技术的应用都是建立在对信道信息的获取上,因此,文中在SM-MIMO系统融合了这两种技术,仿真结果表明SM-MIMO系统性能得以明显提高。     

LTE-A系统中的码字选择方案

利用先进的长期演进系统中8天线预编码2级码本结构,提出了分步反馈长时预编码矩阵指示符和短时预编码矩阵指示符的码字选择算法.接收端根据信道容量近似解的最大值计算反馈长时预编码矩阵指示符,然后通过遍历方法确定短时预编码矩阵指示符的反馈值.该方法能提高反馈的有效性,降低计算复杂度.仿真结果表明,分步反馈预编码码字选择算法的性能比最优码字选择算法相差约0.2dB.     

一种TDD-MIMO系统混合预编码传输机制

针对TDD-MIMO系统中,天线之间存在相关性时会影响系统性能的问题,提出一种混合预编码传输机制.在该机制中,基站首先采用一种低复杂度的信道估计算法来计算信道矩阵,然后计算信道矩阵的相关度来判断相关性的高低并选择相应的预编码方式.当相关度大于等于转换系数时,采用基于协方差矩阵的预编码;反之,则利用基于LR的预编码.仿真结果表明,该机制充分利用了2种预编码分别适用于不同相关性范围的特点,在降低了系统的误码率的同时保持了低复杂度,提高了系统在天线之间存在相关性时的容量.仿真验证了该机制的有效性.     

On Downlink Beamforming Methods: Capacity and Error Probability Performance

In space-division multiple access (SDMA), different beamforming or space-domain precoding techniques can be applied. We investigate two different space-domain precoding methods, the maximum capacity (MC) and the minimum mean square error (MMSE) precoders, for the downlink channel. It is shown that the MMSE precoding, which is practically implementable, can provide a reasonable performance in terms of the capacity and error probability, while the MC precoding is not practical (although it is optimum in terms of the capacity). Space-domain precoding methods are also applied to code-division multiple access (CDMA) systems.This work was supported by the HY-SDR Research Center at Hanyang University, Seoul, Korea, under the ITRC Program of MIC, Korea.Jinho Choi was born in Seoul, Korea. He recieved the B.E. degree (magna cum laude) in electronics engineering from Sogang University in 1989 and the M.S.E. and Ph.D. degree in electrical engineering from the Korea Advanced Institute of Science and Technology in 1991 and 1994, respectively. Currently he is a Senior Lecturer in the School of Electrical Engineering and Telecommunications,University of New South Wales, Australia. Dr. Choi received the 1999 Best Paper Award of Signal Processing from EURASIP.Seungwon Choi received the B.S. degree from Hanyang University, Seoul, Korea, in 1980 and the M.S. degree from Seoul National University, Seoul, in 1982, both the electronic engineering. He received the M.S. degree in computer engineering in 1985 and the Ph.D degree in electrical engineering in 1988 from Syracuse University, Syracuse, NY.From 1982 to 1984, he was with LG Electronics Co. Ltd., Seoul, where he helped developed the 8-mm camcorder system. From 1988 to 1989, he was with the Department of Electrical and Computer Engineering, Syracuse University, as an Assistant Professor. In 1989, he joined the Electronics and Telecommunications Research Institute, daejeon, Korea, where he developed the adaptive algorithm for real-time application in secure telephone systems. From 1990 to 1992, he was with yhe Communication Research Laboratory, Tokyo, Japan, as a science and Technology Agency Fellow, developing adaptive antenna array system and adaptive equalizing filters for applications in land-mobile communications. He joined Hanyang University, Seoul, in 1992 as an Assistant Professor. He is a Professor in the School of Electrical and Computer Engineering, Hanyang University. His research interests include digital communications and adaptive signal processing with a recent focus on the real-time implementation of smart antenna system for 3G mobile communication system.     

大规模MIMO系统下的低复杂度迫零预编码技术

针对大规模天线技术导致传统迫零(zero-forcing,ZF)预编码复杂度上升的问题,提出了一种低复杂度预编码技术.首先利用对称超松弛迭代(semi-iteration symmetric successive overrelaxation method,SSOR)技术优化信道矩阵求逆复杂度的问题;然后利用切比雪夫半...