基于修正EM的高效MIMO-OFDM系统MAP信道估计算法

针对MIMO-OFDM系统的基于期望最大化(EM)的最大后验(MAP)信道估计算法带来的误差地板(EF)现象及较低的数据传输效率,提出了一种基于修正EM的高效的MAP信道估计算法.该算法首先引入一种更精确的系统模型来改善基于EM的MAP估计算法在高信噪比下的EF现象,其次利用多个正交频分复用(OFDM)符号进行联合信道...     

一种适用于慢衰落信道OFDM系统的信道估计算法

针对慢衰落信道OFDM系统,提出了一种新的低复杂度的且能对抗定时误差的信道估计器.这种信道估计器是基于导频间隔I=2的特殊梳状导频结构设计的.基于工程实现的考虑,采用了最小平方(LS)算法进行导频信道估计,同时利用了线性内插对非导频信道进行估计.分析了定时误差对非导频子载波估计的影响,并提出了一种相当简单但十分有效的修正算法,仿真结果有力的证明了此算法能有效的抵抗定时误差对非导频信道插值估计的影响.     

MIMO-OFDM系统中一种新的信道估计方法

提出了多输入多输出-正交频分复用(MIMO-OFDM)系统中一种新的信道估计方法.根据最小均方误差的准则,推导出了求解信道频率响应的方程,方程求解的运算量主要集中在一个矩阵的求逆上.对每一个符号,此矩阵是固定的,所以矩阵的求逆仅需计算一次,整个求解过程的运算量较低.计算机仿真给出了这种方法的归一化均方误差和误码率性能.仿真结果表明,本文方法在多普勒频移为60Hz和360Hz下,其归一化的均方误差值相当,表明本文方法可以在不同的移动环境中良好工作.在不同的数据调制方式和不同的多普勒频移下,本文方法的误码率性能优于最小平方算法,略差于线性最小均方误差算法,但复杂度大大降低.     

无线城域网OFDM系统信道估计算法

OFDM技术是无线城域网IEEE802.16a标准中物理层面的主流调制技术,今建立符合IEEE802.16a标准的OFDM信道估计模型,阐述其导频基本信道估计方法的原理及特点,分析比较了LS/MMSE/LMMSE/SVD四种算法的MSE和BER性能特点.仿真结果说明,LMMSE算法的均方误差和误码率性能最好,且计算复杂度相对较低,易于物理实现.     

一种改进型的CMMB接收机信道估计算法

为了提高CMMB接收机的性能,本文在研究和总结了常规信道估计算法的基础上,提出了一种改进型的CMMB信道估计的插值算法,并在MATLAB仿真平台上进行了仿真验证.与传统内插算法不同,该算法在时域和频域分别进行一阶的线性插值,提高了CMMB系统的信道估计性能.     

一种FBMC系统干扰分类预处理方案

为解决滤波器组多载波(FBMC)信道估计中导频符号所含虚部干扰的影响,提出了一种发送端导频周围符号的预处理方案。该方案利用干扰系数矩阵通过预消除导频邻域低功率符号的影响,来改善FBMC系统接收端信道估计的复杂度,将导频符号的干扰问题转换为对极少数几个高干扰系数的符号处理,并结合具体方案给出该预处理方案的适用情形,使得一些包括辅助导频法(AP)、编码法(Cod)在内的只可在原理上实现的方案可以直接在实际上得到应用。理论分析和仿真结果表明,当使用该方案后,传统基于离散导频估计FBMC信道所面临的问题都能得到有效解决,并且相对于其他改进方案,该方案进一步实现了频谱效率的优化。     

多载波水声信道估计技术及其研究进展

简述了水声信道与正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统之间的必然联系,概述了基于导频符号的信道估计算法、自适应信道估计算法、子空间信道估计算法以及压缩感知稀疏信道估计方法在水声通信中的应用现状,总结了各种算法的特点,比较了各种算法的优缺点,并指出了未来水声信道估计的发展方向。     

基于导频时分复用的多中继协同通信系统频域信道估计算法

针对频率选择性衰落环境下结合正交频分复用技术的放大转发多中继协同通信系统,提出了基于导频时分复用的频域信道估计算法,包括最小二乘(LS)估计算法和低阶近似的线性最小均方误差(Lr-LMMSE)估计算法.理论分析和仿真结果表明,该算法不仅能成功分辨多中继协同通信系统的所有频域信道衰落系数,避免各中继节点转发的导频符号在目...     

放大转发OFDM中继系统的一种叠加导频辅助信道估计和联合数据检测算法

针对源节点和目的节点之间没有直接路径的放大转发(AF)OFDM中继系统,提出了一种利用叠加导频(SP)进行信道估计和联合数据检测的算法.该算法首先将接收信号通过白化滤波器进行信号白化,然后利用SP获得等效信道的信道状态信息(CSI)初始估计值,并联合目的节点上的最大比合并(MRC)接收机,通过判决反馈迭代操作不断改进信...     

IEEE802.16e系统信道估计算法研究

针对IEEE802.16e系统下行链路的导频分配模式,提出了一种适用于IEEE802.16e系统下行链路的信道估计方法。该方法采用两个一维信道估计器的级联。首先在时域进行滤波,根据最近原则将前一个符号导频处的信道响应作为下一个符号相同位置子载波处的信道响应,从而得到梳状导频结构;其次在频域进行滤波,采用最大似然算法估计出所有子载波上的信道响应。车速60km/h和车速120km/h信道下的仿真结果表明,采用该信道估计方法可降低系统的误码率,提高高速移动环境下系统的性能。     

基于无迹卡尔曼滤波的MIMO-OFDM系统信道估计算法

基于对现有MIMO-OFDM系统信道估计技术及其理论的分析,提出了一种基于无迹卡尔曼滤波（UKF）的信道估计算法。该算法不需要信道的任何先验统计信息,从频域出发,首先利用最小二乘（LS）算法得到导频处信道的粗略估计值,再在时域运用路径捕获法和UKF算法得到信道的精确估计值。仿真结果表明,与LS算法、最小均方（LMS）算法等相比,该算法在较低运算复杂度下可以获得信道估计性能的明显改善。     

Joint ML time-frequency synchronisation and channel estimation algorithm for MIMO-OFDM systems

The maximum-likelihood (ML) time-frequency synchronisation algorithm combined with channel estimation for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems in frequency selective fading channels is addressed. In the proposed algorithm, the authors use two steps to maximise an ML metric to obtain first the frequency offset and then timing. A fast Fourier transform algorithm is used to estimate the frequency offset. Using these two estimates, the channel is identified. A simple iterative algorithm is proposed to improve the frequency offset estimation. The performance of the proposed synchronisation approach, in terms of timing failure probability and mean square error of the estimated frequency offset and bit error rate, is compared with others in the literature. Comparison of simulation results with the Cramer-Rao lower bound clearly illustrates the accuracy of the proposed algorithm, which outperforms the state-of-the-art synchroniser devices in the open literature.     

An iterative solution scheme for systems of boundary element equations

In this paper an iterative scheme of first order is developed for the purpose of solving linear systems of equations. In particular, systems that are derived from boundary integral equations are investigated. The iterative schemes to be considered are of the form Ex^(k+1) = Dx^(k) + d, where E and D are square matrices. It will be assumed that E is a lower matrix, i.e. the coefficients above the central diagonal are zero. It will be shown that by considering matrix D embedded in a vector space and reducing its size with respect to a chosen metric, that convergence rates can be substantially improved. Equation ordering and parameter matrices are used to reduce the magnitude of D. A number of examples are tested to illustrate the importance of the choice of metric, equation ordering and the parameter matrix. Computation times are determined for both the iterative procedure and Gauss elimination indicating the usefulness of iteration which can be orders of magnitude faster.     

适用于OFDM系统的改进的信道估计算法

针对实际系统中的信道冲激响应(CIR)泄漏问题,提出了一种适用于梳状导频正交频分复用(OFDM)系统的改进的最小二乘(LS)信道估计算法.该算法基于分数抽头延时信道近似(FTCA)的参数化信道模型,此信道模型采用一个抽头间隔为分数倍采样间隔的抽头延时线结构的有限冲激响应(FIR)滤波器表示.此算法首先通过FTCA信道模型来近似实际信道,然后再估计该信道模型中的某些参数来获取实际的信道信息;该算法利用了FTCA信道模型中所有的延时抽头,从而很好地抑制了CIR泄漏.仿真与分析表明,FTCA信道模型能够有效地近似实际信道,同时降低信道自相关矩阵的维数,从而提高信道估计的性能.     

A joint iterative channel estimation and symbol detection algorithm for OFDM systems over time-varying channels

针对正交频分复用(OFDM)系统中由于信道快时变导致的子载波间干扰(ICI),基于基扩展模型,提出了一种时变信道下OFDM系统联合迭代信道估计与符号检测算法.该算法将基于基扩展模型的最小均方误差信道估计算法与一种类似于串行干扰抵消的符号检测方式相结合,并利用插值和滤波过程进一步消除噪声影响,进而通过联合迭代获得较为精确的符号检测结果.同时,利用带状矩阵近似降低算法的计算复杂度,在复杂度与算法性能之间取得比较好的折中.理论分析和仿真结果表明,在快时变信道条件下,这种新的联合迭代信道估计与符号检测算法可有效地提高系统性能.     

Improved Hybrid Precoding Technique with Low-Resolution for MIMO-OFDM System

This paper proposes an improved hybrid beamforming system based on multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) system. The proposed beamforming system improves energy efficiency compared to the conventional hybrid beamforming system. Both sub-connected and full-connected structure are considered to apply the proposed algorithm. In the conventional hybrid beamforming, the usage of radio frequency (RF) chains and phase shifter (PS) gives high power and hardware complexity. In this paper, the phase over sampling (POS) with switches (SW) is used in hybrid beamforming system to improve the energy efficiency. The POS-SW structure samples the value of analog beamformer to make lower resolution than conventional system. The number of output data in POS is decided by the resolution of POS system. The limited number of POS decides the resolution of antenna array and the values of POSs are designed from maximum and minimum phase angle antenna array. Energy efficiency without the phase shifter is high although channel capacity is nearly similar with conventional system. Also, the amplifier with POS-SW system is proposed to improve the BER performance. According to the data bits, the output signals of POS are decided. The system with 2, 3 and 4 bits is simulated to prove the proposed algorithm. In order to overcome the loss of low-resolution system, the amplifier with POS-SW system using channel information is proposed. The average sum-rate of 4 bits system shows the similar performance with the conventional hybrid beamforming system. This structure can play an important role by increasing the energy efficiency of the wireless communication system that many antennas are used. It is shown that the BER, average sum rate and energy efficiency of the proposed scheme are more improved than the conventional hybrid beamforming system.     

Decision-directed channel estimation based on iterative linear minimum mean square error for orthogonal frequency division multiplexing systems

A decision-directed (DD) channel estimation based on iterative linear minimum mean square error (LMMSE) is proposed for orthogonal frequency division multiplexing systems. Existing DD channel estimation is well known to have the problem of error propagation because of symbol-by-symbol detection. The proposed algorithm can estimate the correction term of current channel state information (CSI) according to the error vector of previous CSI by applying the orthogonality principle, and corrects the current CSI with this correction term. Analysis and simulation results have shown that this method has no error propagation problem. The performance of the proposed algorithm is much better than the conventional DD channel estimation, and close to the optimal LMMSE estimator, but with much less computational complexity compared with the optimal LMMSE estimator.