基于迫零均衡的单载波分块传输系统的误符号率分析

分析了若干独立非负随机变量调和平均值的概率密度函数在零点附近的变化特性.在此基础上,分析了单载波分块传输系统中采用频域迫零均衡时的误符号率性能,给出了高信噪比时采用MPSK调制和MQAM调制时的误符号率的闭合表达式,并通过计算机仿真验证了理论分析结果.理论分析和数值仿真结果表明在瑞利衰落信道下,采用迫零均衡的SCBT系统在高信噪比时的平均误符号率与信道多径数目无关.     

均衡算法在FFH-OFDM系统中的分析与比较

快速跳频-正交频分复用(FFH-OFDM)利用多载波调制前的预编码来实现各自信道噪声的混合,噪声的平均取得了误码性能的改善.迫零线形块均衡和最小均方误差线形块均衡是常用的两种均衡算法,分析结果表明,频率选择型信道下,后者可以改进前者在低信噪比条件下的不足,尤其是当信道存在频谱零点时,可以取得更好的误码性能.     

最小均方误差自适应均衡器的软实现

均衡器在通信系统中起到改善信道的作用.针对自适应时域均衡器的设计要求,研究了一种基于最小均方误差准则自适应均衡器的软件实现方式并给出了流程图.不再利用专门的测试脉冲进行误差调整,而是在传输数据期间借助信号本身来调整增益.分析了软件实现方式的优越性,具有较高的实用价值.     

采用归一化最小均方误差准则的LM-BP算法

传统神经网络通常以最小均方误差(LMS)或最小二乘（RLS）为收敛准则,而在自适应均衡等一些应用中,使用归一化最小均方误差（NLMS）准则可以使神经网络性能更加优越。本文在NLMS准则基础上,提出了一种以Levenberg-Marquardt（LM）训练的神经网络收敛算法。通过将神经网络的误差函数归一化,然后采用LM算法作为训练算法,实现了神经网络的快速收敛。理论分析和实验仿真表明,与采用最速下降法的NLMS准则和采用LM算法的LMS准则相比,本文算法收敛速度快,归一化均方误差更小,应用于神经网络水印系统中实现了水印信息的盲提取,能更好的抵抗噪声、低通滤波和重量化等攻击,性能平均提高了4%。      

OFDM调制系统中一种鲁棒的MMSE信道均衡算法

在OFDM调制系统中,由于多载波的存在,载波间ICI对信道均衡结果影响很大,同时,采用MMSE信道均衡算法对不同的信道模型也存在均衡误差不稳定的情况。本文提出一种鲁棒的MMSE信道均衡算法,该算法的核心是针对不同信道对信道的PDP进行归一化处理,从而得到在不同类型信道下稳定且鲁棒的信道均衡性能。     

改进的LMS半盲自适应信道均衡技术

提出了一种改进的LMS算法，使基于该算法的半盲自适应信道均衡器适用于时变信道中OFDM系统。在DVB-T信道和WSSUS信道中对该算法进行仿真，结果表明该LMS算法对选择性衰落信道和移动信道都具有很好的跟踪性能。     

单载波块传输系统及其均衡技术的研究

近年来,多载波OFDM系统因其均衡简单且能有效地抗多径干扰而受到广泛地研究。随着研究的深入,发现单载波系统也有类似的均衡办法与优点。介绍一种系统,称为单载波块传输系统,并研究了其各种均衡办法,比较了它们的性能与复杂度。当采用信道矩阵扩展技术或重叠相加技术,并采用最小均方误差均衡时,该系统有着良好的抗多径性能和较低的计算复杂度。     

基于频域均衡的Tb/s级相干光单载波系统

对相干光单载波频域均衡系统(CO-SCFDE)、相干光单载波频分复用系统(CO-SCFDM)以及相干光正交频分复用系统(CO-OFDM)的理论和实验进行了对比研究,结果表明基于频域均衡的相干光单载波系统既保留了正交频分复用方式计算复杂度较低、频谱效率高和抗色散性能好的优点,又有效地减小了光纤非线性带来的传输损伤,是高速长距离光纤传输的一种有潜力的技术方案。     

直接检测的光正交频分复用传输系统最小均方自适应算法

为了减少直接检测的光正交频分复用(DD-OOFDM)传输系统中色散对系统的影响,传输系统使用了基于频域的最小均方(LMS)自适应均衡技术,由于基于频域的LMS估计方法计算复杂度低且便于信号块处理,相比最小平方(LS)估计方法,可更有效地追踪信道变化,减小相位噪声对传输系统的影响。实验结果表明,经背靠背(BTB)和100km标准单模光纤(SSMF)传输后,使用频域LMS估计方法的信号比使用频域LS估计方法的信号系统接收功率代价在误码率为10×10-2.5和10×10-2.0时分别降低了2dB及2.5dB,频域LMS估计方法比频域LS估计方法对传输系统具有更好的色散补偿效果。     

OFDM系统中的信道估计算法比较

研究了OFDM系统中基于LS、MMSE及SVD的信道估计算法,并对其进行了性能分析和比较.通过SVD降低了运算复杂度,简化了MMSE算法,且性能良好.     

卫星信道MMSE和LS均衡算法性能比较

针对卫星信道采用OFDM系统模型,结合实际情况,在信道中加入多径干扰和多普勒频偏,为更好地消除子载波间干扰和码间干扰,在解调之后采用均衡算法。文中选用MMSE和LS均衡算法进行研究,得出两种算法均衡性能的差异,并指出了均衡算法的研究方向。     

Chip-Level MMSE Equalization for CDMA Downlink

1IntroductionNext generation standards support high data rate ser-vices,in which users are only assigned a smaller-orderspreading code . This leads to a necessity for the tech-niques that suppress Inter-Chip Interference (ICI) aswell as Multi-Access Interference ( MAI) . The tradi-tional RAKE receiver experiences difficulty because theorthogonality decays when signal transmits over multi-path frequency selective fading channels . The RAKEreceiver cannot overcome the serious MAI and I…     

OFDM系统中基于线性预编码技术的均衡方法

在快速移动环境中,子载波间干扰(ICI)是恶化OFDM系统性能的重要因素。为抑制OFDM系统中的ICI,采用了一种基于线性预编码技术的迫零均衡方法,并对其在无冗余情形下的误码率(BER)性能进行了理论分析,推导出了BER最优的线性预编码矩阵的选取准则。仿真结果表明,在较高信噪比条件下,所用的方法能有效抑制ICI和显著改善OFDM系统的误码率性能。     

一种基于MMSE准则的直接盲均衡新算法及实现

基于互相关向量估计的直接盲MMSE均衡算法通常需要观测向量两个相邻延时的自相关矩阵来构建互相关向量外积.本文提出了一种盲MMSE均衡新算法,利用了统计独立输入信号自相关矩阵是移位矩阵的特殊性质,只需观测向量单个延时的自相关函数便可得到互相关向量的外积,使计算量减少二分之一.然后推导出了新算法的自适应实现过程,实时地对均...     

OFDM系统基于自适应定阶的MMSE信道估计

MMSE估计是OFDM系统中常用的信道估计算法。针对MMSE信道估计的失配问题,该文提出了一种基于自适应定阶的MMSE估计算法。该算法通过对信道最大多径时延的估计,自适应地调整信道自相关函数的产生,获得接近匹配时的MMSE估计效果。     

一种联合迫零和独立信道预编码OFDM系统

提出了一种联合迫零和独立信道预编码OFDM系统。该系统用发送端迫零顸编码和哈达玛矩阵预编码对发送数据进行联合预处理,简化了接收端,提高了系统的分集增益,仿真结果表明该方法提高了系统的误码率性能。     

Diversity Combining Options and Low-Complexity MMSE Equalization for Spread Spectrum OFDM Systems in Frequency Selective Fading Channels

This paper compares diversity combining schemes for the downlink of spread spectrum orthogonal frequency division multiplexing (SS-OFDM) systems in frequency selective fading channels. In particular, symbol-level combining after despreading is compared to chip-level combining under maximal ratio combining (MRC) of signals from different diversity branches and minimum mean-square error (MMSE) equalization of spreading sequences. Symbol-level combining takes place after the operations of MMSE equalization and despreading, whereas the operations of equalization and despreading occur after MRC if chip-level combining is used. Chip-level combining combines diversity samples in an efficient manner while reducing inter-code interference (self-interference) that results from the loss of orthogonality of spreading sequences due to a frequency selective channel. This method is shown to be superior to symbol-level combining when the diversity branches are uncorrelated, and when the branches differ only due to subcarrier interleaving. An MMSE equalization method with significantly reduced complexity for partially loaded systems is also presented, based on the premise of chip-level combining. Novel expressions for the bit error rate (BER) of the two methods, as well as the extension of the analysis to partially loaded systems are given. The extensions of chip-level combining and low-complexity equalization of a partially loaded system to an OFDM system with 2-dimensional spreading are also presented. The results are relevant to antenna diversity as well as temporal diversity achieved though re-transmission within an ARQ scheme. This paper was presented in part at WCNC 2005, New Orleans, LA, USA, March 13–17, 2005. Robert Novak was born in Edmonton, Canada in 1974. He received the B.Sc. degree in Engineering Physics with Distinction at the University of Alberta, Canada in 1997. He receieved the Ph.D. degree in Electrical Engineering from the University of Alberta in 2006. He was with Telecommunications Research Laboratories (TRLabs) from 1997 to 2006. He is currently with the Wireless Technology Lab of Nortel Networks, in Ottawa, Canada. His main research interests include adaptive techniques for orthogonal frequency division multiplexing (OFDM) systems, spread spectrum techniques, multi-user communications, diversity combining, and high speed packet data systems for mobile radio applications. Witold A. Krzymień received his M.Sc. (Eng.) and Ph.D. degrees (both in Electrical Engineering) in 1970 and 1978, respectively, from the Poznań University of Technology in Poznań, Poland. He received a Polish national award of excellence for his PhD thesis. Since April 1986 he has been with the Department of Electrical & Computer Engineering at the University of Alberta, Edmonton, Alberta, Canada, where he currently holds the endowed Rohit Sharma Professorship in Communications & Signal Processing. In 1986, he was one of the key research program architects of the newly launched TRLabs, Canada's largest industry-university-government pre-competitive research consortium in the Information & Communication Technology area, headquartered in Edmonton. His research activity has been closely tied to the consortium ever since. Over the years Dr. Krzymień has also done collaborative research work with Nortel Networks, Ericsson Wireless Communications, German Aerospace Centre (DLR – Oberpfaffenhofen), Telus Mobility and the University of Padova (Italy). He held visiting research appointments at Twente University of Technology (Enschede, The Netherlands; 1980–1982), Bell-Northern Research (Montréal, Canada; 1993–1994), Ericsson Wireless Communications (San Diego, USA; 2000), Nortel Networks Harlow Laboratories (Harlow, UK; 2001), and the Department of Information Engineering at the University of Padova (2005). His research is currently focused on broadband high throughput packet data access for mobile and nomadic users, employing multi-carrier signalling, multiple antenna techniques and link adaptation, as well as on the related MAC and network layer issues of hybrid ARQ, packet scheduling and relaying. Dr. Krzymień is a Fellow of the Engineering Institute of Canada, and a licensed Professional Engineer in the Provinces of Alberta and Ontario, Canada. From 1999 to 2005 he was the Chairman of Commission C (Radio Communication Systems and Signal Processing) of the Canadian National Committee of URSI (Union Radio Scientifique Internationale). He received the 1991/1992 A.H. Reeves Premium Award from the Institution of Electrical Engineers (U.K.) for a paper published in the IEE Proceedings, Part I.     

基于MMSE准则自适应预处理算法研究

自适应OFDM(Orthogonal Frequency Division Multiplexing)系统根据信道情况自适应地分配各个子载波发送的比特和功率,在频率选择性衰落信道条件下,它比传统的OFDM系统有更好的误比特性能。提出了一种基于MMSE准则的自适应预处理算法,并将该算法应用于自适应OFDM系统,与基于最大信息速率设计的自适应OFDM系统相比,误比特性能有了显著提高。     

基于MMSE准则的参数法时域信道估计

在OFDM系统中,实时、准确地得到关于信道的信息,已成为数据检测和信道均衡的关键。丈中在基于DFT方法上,提出了一种基于MMSE准则的参数化信道估计方法,利用了信道时域响应的特性,对信道时域响应进行了估计。仿真结果表明,此方法较迭代的DFT方法更快捷,更充分地利用了信道时域响应的特性,在高信噪比时,有更低的均方误差（MSE）。