一种实用性强的MC-CDMA盲信道估计方法

基于子空间分解的MC-CDMA盲信道估计算法运算量大,实用性差.本文根据在MC-CDMA中信号子空间维数远小于噪声子空间维数的特点提出从信号子空间的角度进行MC-CDMA盲信道估计,并采用PASTd算法对信号子空间及其维数进行动态跟踪.本文还通过对子空间跟踪的结果进行正交化处理的方法,显著提高了盲信道估计的性能.本文的盲信道估计方法运算量低,实用性强,仿真结果表明其盲信道估计性能接近特征值分解法.     

MC-CDMA系统降维盲空时信道估计及信号检测

该文提出了适用于频率选择性瑞利衰落信道中的MC-CDMA系统降维盲空时信道估计及信号检测算法。对接收数据矢量进行解相关滤波,得到对应于每个用户的无多址干扰(MAI)的降维信号,由白化滤波后的降维数据组成的矩阵的秩1近似来进行盲信道估计。将白化滤波后的降维数据矢量看作是单用户的系统,研究了迭代最小二乘(ILS)检测和最小均方误差(MMSE)检测。仿真结果验证了该文算法的有效性。     

A MC-CDMA Mobile Communication System Employing Pre-Rake and Transmit Diversity

In this paper, a multi-carrier code division multiple access (MC-CDMA) downlink mobile communication system employing pre-rake and dual transmit diversity is proposed. It combines high spectral efficiency with an immunity to channel dispersion and fading. It also ensures small size, cost and power consumption of the terminal. Theoretical and simulation results for the system under consideration are obtained. Depicted results show appreciable improvements of the proposed system over those previously known.Emad K. Al-Hussaini received his B.Sc degree in Electrical Communication Engineering from Ain-Shams University, Cairo, Egypt, in 1964 and his M.Sc and Ph.D. degrees from Cairo University, Giza, Egypt, in 1974 and 1977, respectively. From 1964 to 1970, he was with the General Egyptian Aeroorganization. Since 1970, he has been with the Department of Electronics and Communications, Faculty of Engineering, Cairo University, and is currently professor there. He was a research fellow at Imperial College, London, UK, and at the Moore School of Electrical Engineering, University of Pennsylvania, Philadelphia, PA, USA, in the academic years 1976/1977 and 1981/1982, respectively. In 1990, he received the Egyptian national encouragement award for outstanding engineering research. He has written several papers for technical international journals and conferences. His research interests include signal processing, fading channel communication, modulation, and cellular mobile radio systems. Dr Al-Hussaini is a senior member of IEEE. He is listed in Marquis Whos Who in the World and in the IBC (International Biographical Center, Cambridge) for outstanding people of the 20th century.Hebat-Allah M.Mourad received her B.Sc, M.Sc and Ph.D degrees in Electrical Communication Engineering from Cairo University, Egypt, in 1983, 1987 and 1994 respectively. Since 1983 she has been with the Electronics and Communications Department, Faculty of Engineering Cairo University and is currently associate professor there. Her research interests include mobile communications, satellite communications and optical fiber communications.Fatma A. Newagy received her B.Sc and M.Sc degrees in electrical communication engineering from Cairo University, Egypt in 1998 and 2002 respectively. Since 1999, she has been a research assistant with the Department of Electronics and Communications, Faculty of Engineering, Cairo University. She is pursuing her Ph.D. there. Her research interests include mobile communications and modulation techniques for spread spectrum and wireless communications.     

综合业务的CDMA系统的业务容量分析

个人通信与移动计算的发展促进了将综合业务引入移动通信中。ＣＤＭＡ系统是新一代传输综合业务的系统。本文采用一种业务接入控制算法，分析了综合业务的ＣＤＭＡ系统的业务容量。显见，在计算综合业务的ＣＤＭＡ系统容量时，所需的Ｅｂ／Ｉ０、速率Ｒ及激活因子大的业务对系统容量的影响大。同时在上行信道中，非理想功率控制对Ｅｂ／Ｉ０、Ｒ及激活因子大的业务的容量影响也较大。为此，可以对不同的业务置以不同的功率调整步长来减小这种影响。     

一种MC-CDMA最小二乘信道估计的改进算法

文中提出一种LS信道估计改进算法,该算法利用MC-CDMA中闲置的虚载波对信道噪声功率进行估计,通过将LS信道估计的时域响应限制在循环前缀长度内,并进一步利用信道噪声功率估计值,设置门限值忽略LS信道时域响应在循环前缀长度内的噪声分量和无效径响应。文中的算法运算量小,信道估计精度高,仿真结果验证了算法的有效性。     

MC-CDMA信号的类型识别及参数盲估计

针对MC-CDMA信号符号周期、有用数据周期、码片持续时间以及保护间隔长度等参数盲估计问题,该文提出一种改进型的循环自相关算法。首先在接收端对MC-CDMA信号求自相关函数,取傅氏变换,再在频域累积,通过检测不同切片上的谱峰间隔,可以同时估计以上多个参数。此外,根据MC-CDMA信号自身特点,提出一种新的估计符号周期方法累加平均法,将3维图中平行于延时轴的每列谱线累加平均(间隔为符号周期),可估计出符号周期。理论推导了MC-CDMA信号的循环自相关表达式,证明加循环前缀的MC-CDMA信号具有循环平稳性。仿真实验证明了改进型的频域累积循环自相关算法的有效性,且适用于低信噪比环境。     

发射分集MC-CDMA系统盲干扰抑制

研究了多载波码分多址(MC-CDMA)系统的盲干扰抑制,采用基于空时分组码的发射分集。考虑对应于子载波的衰落系数是信道冲激响应的离散傅里叶变换,通过研究多径信号频域码空间和数据矢量空间,采用噪声子空间技术进行盲信道估计。为了抑制多址干扰(MAI),提出一种基于投影的辅助矢量算法(PAV),该算法计算复杂度低,在低输入信号干扰噪声比(SINR)时能提供有效的干扰抑制,在高输入SINR时具有稳健的性能。     

MC-CDMA系统中基于子空间的半盲信道估计

该文提出了MC-CDMA系统中一种基于子空间的半盲信道估计方法。该方法结合MC-CDMA系统信号模型的特点,通过初始信道估计来解决收敛速度慢的问题;通过部分用户的导频符号以及预均衡技术来估计模糊因子;通过迭代算法来降低计算复杂度。这些措施使得半盲信道估计方法的实用化成为可能。计算机仿真验证了该方法的有效性。     

MC-CDMA系统基于子空间跟踪的导频辅助信道估计

基于导频辅助的MC-CDMA系统信道估计方法通过在确定的时频位置发送已知的导频符号来获取信道参数,通常包括导频位置的最小二乘估计和内插滤波两步。为了提高导频位置信道频域特性的估计精度,使得后续内插滤波的精度相应得到提高,本文利用基于Givens旋转的子空间跟踪方法构成了对信道的时变参数的估计和跟踪,得到了较为准确导频信道估计。仿真表明,我们给出的基于子空间跟踪的信道估计方法具有更好的稳定性和更高的估计精度。     

MC-CDMA系统迭代检测中的一种基于EM的信道估计算法

该文将多用户检测和译码相结合的迭代检测技术应用于MC-CDMA系统。多用户检测器由串行干扰消除和其后的MMSE滤波器组成。信道估计器采用一种基于期望最大(EM)信道估计算法,该算法降低了信道估计的复杂度,仿真表明其具有良好的性能。     

Diffused Channel Estimation and Reception for Cyclic Prefix-free MC-CDMA Arrayed-MIMO Communication Systems

An arrayed-MIMO communication system, which employs antenna arrays at both ends of the wireless link is proposed to leverage upon spatial information such as directions-of-arrival to achieve an improvement in performance. This is in contrast with conventional MIMO systems, which typically assume multiple independent antenna elements at the transmitters and receivers. This paper focuses on an arrayed-MIMO communication system operating over a frequency selective fading channel and employs MC-CDMA as the modulation technique. However, in a departure from conventional MC-CDMA systems, cyclic prefixes or guard intervals are not used for the MC-CDMA system employed here so that valuable bandwidth is not wasted on cyclic prefixes or guard intervals. Localized scattering is assumed to occur for each multipath; hence the wireless channel is modelled as a diffused vector channel. A robust blind estimation method is presented to estimate the parameters of the spatially diffused channel, followed by reception based on these parameters. The feasibility of the proposed system is supported by simulation results.     

一种MC-CDMA系统LS信道估计的改进算法

LS信道估计算法计算量小,实现简单,但是受噪声的影响信道估计精度低。为降低噪声对信道估计精度的影响,提出一种基于DFT的LS信道估计改进算法。该算法利用MC-CDMA中闲置的虚载波对信道噪声功率进行估计,通过将LS信道估计的时域响应限制在循环前缀长度内并进一步通过设置门限值忽略LS信道时域响应在循环前缀长度内的噪声分量和无效径响应,显著提高了信道估计精度。本文的算法运算量小,实现简单,信道估计精度高,仿真结果验证了算法的有效性。     

一种改进的非理想信道估计下MC-CDMA预均衡方法

文中分析了MC-CDMA下行传输系统在非理想信道估计下MMSE预均衡性能恶化的原因,提出一种改进的MMSE预均衡方法.相对于传统MMSE预均衡,改进的MMSE预均衡方法可以抑制信道估计误差对MC-CDMA下行传输的性能影响.研究结果表明,这种改进的预均衡可以消除信道估计误差带来的误比特率信噪比增加而增加的反常现象.     

Performance of Up-link MC-CDMA System with Frequency Offset and Imperfect Channel Estimation Simultaneously over Nakagami Fading Channels

In this paper, effects of carrier frequency offset on performance of uplink MC-CDMA (Multi-Carrier Code Division Multiple Access) system in Nakagami fading channel are investigated through the theoretical analysis and Monte Carlo computer simulations. Both perfect maximal-ratio combining (MRC) and equal gain combining (EGC) receivers are analyzed; the impact of imperfect channel fading estimation on the performance of MRC is also explored. The performance of MC-CDMA system is also compared with that of the conventional single-carrier DS-CDMA system. Our results indicate that the performance of MC-CDMA system is sensitive to even small values of carrier frequency offset and that the performance of MC-CDMA system improves as number of subcarriers increases. In perfect channel fading estimation, the overall performance of MRC is superior to EGC. However, when imperfect or inaccurate channel fading estimation exists, which leads to serious performance degradation, EGC becomes superior to MRC. This revised version was published online in July 2006 with corrections to the Cover Date.     

使用接收分集的确定性OFDM盲信道估计算法

本文针对无循环前缀的OFDM系统研究了非数据辅助的信道估计方法.借助于2个接收天线实现的信道分集,提出了一个确定性信道盲估计算法,并给出了信道可辨识性条件.该算法使用1个OFDM块便可在一个标量模糊因子的意义上确定信道冲激响应.算法计算量小,而且对输入信号的星座和统计特性没有约束.仿真结果证实了算法的有效性.     

MC-CDMA系统盲空时干扰抑制

该文研究在频率选择性瑞利衰落信道中MC-CDMA系统的盲空时干扰抑制。考虑对应于子载波的衰落系数是信道冲激响应的离散傅里叶变换,通过研究多径信号频域码空间和数据矢量空间,采用噪声子空间技术进行盲信道估计。为了抑制多址干扰(MAI),提出一种基于投影的辅助矢量(PAV)算法,用前一级滤波矢量的输出重构最大比合并(MRC)滤波矢量,将重构滤波矢量投射到由基本滤波矢量和前几级辅助矢量张成子空间上的正交投影作为辅助矢量,将前一级滤波矢量和新产生辅助矢量线性合并得到新的滤波矢量。仿真结果验证了该算法的有效性。     

CDMA移动通信系统中的信道盲与半盲估计

介绍了应用于异步CDMA移动通信系统中的信道盲估计技术的原理,信道盲估计主要分为子空间分解、相关拟合和最大似然三种方法。分析了各自的特点,然后讨论了在部分发送数据已知条件下的半盲信道估计技术。     

OFDM-MIMO系统中发射分集和信道估计技术研究

文章研究了OFDM-MIMO系统中的循环延迟分集（CDD）,以及基于Alamouti的空时分组编码（STBC）与空频分组编码（SFBC）,针对发射分集方案所必须知道的信道信息,对两种信道估计方法,即最小二乘（LS）＋线性插值与最小均方误差（MMSE）插值进行了研究。通过链路仿真还给出了以上分集方案在不同信道条件下的性能曲线,此外,对两种信道估计方法的误帧率做了统计。结果表明,CDD结合信道编译码可获得分集增益,有效对抗无线信道的衰落性。STBC,SFBC在不需要外码的情况下便可获得较大分集增益,且分别适用于频率选择性衰落与时间选择性衰落信道。而MMSE估计可以获得较为理想的误帧率,为分集方案提供较准确的信道参数以提高系统的可靠性。     

一种预处理的MIMO MC-CDMA恒模多用户盲检测

该文提出一种下行MIMO MC-CDMA系统的半盲多用户恒模接收系统,在恒模检测前对接收信号进行预处理,把MIMO接收系统转化成多个SISO(单发单收)接收系统,用SISO的恒模算法检测信号,减少了多用户多径干扰的影响,明显提高了接收系统的检测性能。     

快速的ZP-OFDM系统中的盲信道估计算法

基于子空间的盲信道估计因为其节约带宽和发射功率成为OFDM系统中比较热门的研究领域。但是,之前很多子空间算法有的收敛速度快,计算复杂度却高,有的用迭代算法跟踪子空间的特征结构,复杂度较低,但收敛速度却比较慢。提出了一种基于快速收敛的LMS-Newton算法的ZP-OFDM系统的信道估计方法,既提高了收敛速度,计算复杂度又不是很高。借助于子空间跟踪,该算法可以自适应地估计信道相关矩阵的噪声子空间,从而估计OFDM系统信道。仿真结果表明该算法可以改善信道估计的性能。