FFH-0FDM预编码矩阵的分析和改进

快速跳频正交频分复用（FFH—OFDM）在常规的OFDM符号中加入快速跳频预编码矩阵（FFH）,使其在多径时变的衰落环境下具有良好的抗衰落性能。本文首先对循环预编码矩阵带来的噪声半混合进行了分析,并进一步提出了噪声全混合的预编码矩阵,分析了其误码率。仿真结果表明,频率选择性信道下,在高信噪比时全混合较之半混合预编码矩阵进一步提高了OFDM系统抗衰落的能力。     

FFH-OFDM预编码矩阵的分析和改进

快速跳频正交频分复用(FFH-OFDM)在常规的OFDM符号中加入快速跳频预编码矩阵(FFH),使其在多径时变的衰落环境下具有良好的抗衰落性能[1].本文首先对循环预编码矩阵带来的噪声半混合进行了分析,并进一步提出了噪声全混合的预编码矩阵,分析了其误码率.仿真结果表明,频率选择性信道下,在高信噪比时全混合较之半混合预编码矩阵进一步提高了OFDM系统抗衰落的能力.     

基于SFBC的MIMO-OFDM在频率选择性信道中的应用

针对于多径时延引起频率选择性衰落信道，在MIMO-OFDM的基础上采用了一种空频分组编码（space-frequency block coder——SFBC）技术。空频分组编码是在OFDM符号基础上，对一个OFDM符号中的子载波进行分组编码，使得同一帧上子载波在不同的天线上发送。现给出了SFBC编码及其解码算法，并在不同多径时延衰落条件下进行了仿真，验证了SFBC对于频率选择性衰落系统性能的改善。     

基于OFDM技术的无线通信系统仿真与分析

正交频分复用（OFDM）能够有效地对抗频率选择性衰落,插入循环前缀作为保护间隔可以消除符号间干扰,而采用信道估计能够很好地跟踪无线信道的时变特性,从而减弱信道对系统的影响。文章首先阐述了OFDM系统基本模型,并给出OFDM通信系统仿真模型。在频率选择性信道下用Matlab仿真软件完成对OFDM系统发送、信道、接收等部分以及循环前缀与信道估计关键技术的设计,结合计算机仿真重点研究了循环前缀及信道估计对系统误码率性能的影响,得出了采用循环前缀和信道估计技术可以显著地提高系统性能。     

OFDM系统仿真与分析

正交频分复用(OFDM)技术在高速数据传输中得到了广泛的应用,尤其在无线接入和移动通信中应用前景非常广泛.无线衰落信道使得通信系统在传输过程中出现符号间干扰和信道干扰,严重影响信道质量,而OFDM是一种多载波教字调制技术,在无线衰落信道下具有较好的传输特性.运用Matlab构建OFDM系统,并加入自适应功率和比特分配算法.通过具有高斯白噪声和频率选择性信道,观察在不同信噪比条件下系统误码率是如何变化的.给出仿真结果,从而分析出系统在不同调制方式下的性能.仿真结果表明,OFDM系统能抗多径衰落,而且具有良好的误码性能.     

一种基于OFDM的空频码的设计

提出了一种基于OFDM达到最大可达分集增益的空频码设计方案。该编码利用正交频分复用把频率选择性衰落信道变换成平衰落信道的特性，同时引入了基于多天线的空间分集和基于时延扩展的频率分集，比空时编码具有更高的分集增益。     

基于Simulink的OFDM系统仿真分析

无线衰落信道使得通信系统在传输过程中出现符号间干扰和信道间干扰,严重影响通信质量。正交频率分割复用(OFDM)是一种多载波数字调制技术,他在无线多径衰落信道下却具有较好的传输特性,对其抗多径衰落的原理进行了研究。在Simulink下建立了系统的仿真模型,并对所建模型进行了分析。同时在两径和六径瑞利衰落信道以及系统中有无交织下对其进行仿真,给出了仿真结果。     

适用于多径衰落信道的OFDM同步方法

针对正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统在多径衰落信道中容易受到同步误差的影响,本文提出了两种OFDM符号同步方法.该方法利用重复共轭对称的训练序列和改进的定时测度与判决方法完成符号定时;利用序列的一致性与频域差分编码进行频偏估计.分析与仿真结果表明,在多径衰落信道中与传统方法相比,本文提出的方法具有更好的同步性能和较低的计算复杂度.     

一种改进的适用于无线瑞利衰落信道的OFDM时频同步算法

正交频分复用(OFDM)技术已经广泛应用于各种高速宽带无线通信系统中.然而OFDM系统相比单载波系统更易受到频偏和时偏的影响,因此实现系统的时频同步技术是OFDM系统中非常关键的技术.该文介绍和比较了当前用于OFDM系统的多种同步技术,并提出了一种适用于无线瑞利衰落信道的0FDM时频同步算法,该算法利用一个OFDM导频符号可同时实现符号同步和频率同步,极大地提高了符号估计的精度.仿真结果表明,在多径信道下,该算法的性能比传统算法的性能有很大的改善.     

基于Turbo码的MIMO?OFDM检测系统的研究与设计

在MIMO?OFDM系统中,分层空时编码技术可以有效地提高空间复用增益,但是由于其译码层是相互独立的,因此系统编码增益并不高,而基于迭代法译码的Turbo码具有良好的编码增益,因此,提出采用联合分层空时编码技术和Turbo迭代解码原理的MIMO?OFDM检测系统,通过仿真实验验证,该系统不仅可以提高MIMO?OFDM系统的性能,在频率选择性衰落信道下该系统也具有良好的可靠性。     

Artificial Neural Network Channel Estimation Based on Levenberg-Marquardt for OFDM Systems

The many advantages responsible for the widespread application of orthogonal frequency division multiplexing (OFDM) systems are limited by the multipath fading. In OFDM systems, channel estimation is carried out by transmitting pilot symbols generally. In this paper, we propose an artificial neural network (ANN) channel estimation technique based on levenberg-marquardt training algorithm as an alternative to pilot based channel estimation technique for OFDM systems over Rayleigh fading channels. In proposed technique, there are no pilot symbols which added to OFDM. Therefore, this technique is more bandwidth efficient compared to pilot-based channel estimation techniques. Also, this technique is making full use of the learning property of neural network. By using this feature, there is no need of any matrix computation and the proposed technique is less complex than the pilot based techniques. Simulation results show that ANN based channel estimator gives better results compared to the pilot based channel estimator for OFDM systems over Rayleigh fading channel.     

Resource Management Techniques for OFDM Systems with the Presence of Inter-Carrier Interference

The aim of the paper is to study the problems of resource management in the presence of inter-carrier interference (ICI) and multipath fading channel for orthogonal frequency division multiplexing (OFDM) systems. OFDM is a promising technique for the broadband wireless communication systems. However, the OFDM communication system is sensitive to ICI which arises because of Doppler spread and carrier frequency offset (CFO). To solve these problems, an optimization method has been exploited, and a computationally efficient method using numerical optimization techniques is proposed. The simulation results show that these derived optimal solutions and proposed suboptimal algorithms as compared with the uniform power allocation algorithm or conventional water-filling algorithm can significantly improve the performance of the OFDM systems.     

Robust channel estimation for OFDM systems with rapid dispersivefading channels

Orthogonal frequency-division multiplexing (OFDM) modulation is a promising technique for achieving the high bit rates required for a wireless multimedia service. Without channel estimation and tracking, OFDM systems have to use differential phase-shift keying (DPSK), which has a 3-dB signal-to-noise ratio (SNR) loss compared with coherent phase-shift keying (PSK). To improve the performance of OFDM systems by using coherent PSK, we investigate robust channel estimation for OFDM systems. We derive a minimum mean-square-error (MMSE) channel estimator, which makes full use of the time- and frequency-domain correlations of the frequency response of time-varying dispersive fading channels. Since the channel statistics are usually unknown, we also analyze the mismatch of the estimator-to-channel statistics and propose a robust channel estimator that is insensitive to the channel statistics. The robust channel estimator can significantly improve the performance of OFDM systems in a rapid dispersive fading channel     

基于特定导频OFDM信道估计的研究

在OFDM系统中,准确的信道估计是对抗瑞利衰落信道中信道干扰的关键。提出了一种对OFDM信道估计的新方法,利用CR Spline函数的插值方法,设计一个特定的导频结构,从而导出信道估计的CR Spline函数形式,用该函数近似信道衰落包络。实验结果表明,仅用少量导频就可以近似出信道特性,并具有良好的平滑性。计算机仿真证明了提出算法的有效性。     

Modeling and Estimation of Wireless OFDM Channels by Using Time-Frequency Analysis

Orthogonal frequency division multiplexing (OFDM) has become a very popular method for high data rate wireless communications because of its advantages over single carrier modulation schemes on multipath, frequency selective fading channels. However, intercarrier interference, due to Doppler frequency shifts, and multipath fading severely degrade the performance of OFDM systems. Estimation of channel parameters is required at the receiver. In this paper, we present a channel modeling and estimation method based on the time-frequency representation of the received signal. The discrete evolutionary transform provides a time-frequency procedure to obtain a complete characterization of the multipath, fading, and frequency selective channels. Simulations are used to illustrate the performance of the proposed procedure and to compare it with other time-varying channel estimation techniques.     

An efficient space-frequency coded OFDM system for broadband wireless communications

We propose an efficient space-frequency coded orthogonal frequency-division multiplexing (OFDM) system for high-speed transmission over wireless links. The analytical expression for the pairwise probability of the proposed space-frequency coded OFDM system is derived in slow, space- and frequency-selective fading channels. The design criteria of trellis codes used in the proposed system are then developed and discussed. It is shown that the proposed space-frequency coded OFDM can efficiently achieve the full diversity provided by the fading channel with low trellis complexity, while for traditional space-frequency coded OFDM systems, we need to design space-time trellis codes with high trellis complexity to exploit the maximum achievable diversity order. The capacity properties of space-frequency coded OFDM over multipath fading channels are also studied. Numerical results are provided to demonstrate the significant performance improvement obtained by the proposed space-frequency coded OFDM scheme, as well as the excellent outage capacity properties.     

基于导频符号的信道估计算法研究

正交频分复用(OFDM)是一种高效的数字传输技术,因其较高的频带利用率以及抗多径衰落的性能,被视为下一代无线通信的核心技术.信道估计技术是实现OFDM系统的关键技术之一.文中主要研究了OFDM无线系统中基于导频的信道估计算法--LS算法和LMMSE算法, 通过仿真其算法的误码率特性和均方误差性能表明,LMMSE的性能明显优于LS.     

Cyclostationarity-Based Frequency Synchronization for OFDM Systems Over Doubly-Selective Fading Channels

Orthogonal frequency division multiplexing (OFDM) systems are highly sensitive to carrier frequency offset (CFO), especially in doubly-selective fading environment. Cyclostationarity-based blind synchronization methods are appealing in high-data-rate applications and low signal-to-noise regions. However, the cyclostationarity has not been exploited for frequency synchronization of OFDM systems under doubly-selective fading channels. In this paper, we derive the close-form second order cyclic statistics of the received OFDM signal in presence of CFO, by modeling the doubly-selective fading channel with basis expansion model. Both transmitter-induced cyclostationarity and doubly-selective channel information are contained in the derived cyclic moments, and they are efficiently utilized for CFO estimation. Simulation results demonstrate that the proposed estimator provides significant improvements on frequency synchronization performance.     

基于导频的OFDM系统信道估计

正交频分复用（0FDM）是一种高效的数字传输技术,因其较高的频带利用率以及抗多径衰落的性能,被视为下一代无线通信的核心技术。信道估计是视线OFDM系统的关键技术之一。主要研究了OFDM无线通信系统中基于导频的信息估计算法——LS算法,MMSE算法以及改进的LS算法,并通过仿真算法的最小均方误差性能和误码率特性证明了改进的LS算法要优于LS算法。     

MIMO-OFDM快衰落信道的稀疏自适应感知估计

在多输入多输出（MIMO）-正交频分复用（OFDM） 系统中,怎样在较高频谱利用率的情况下对快时变信道进行较为准确的估计是一个具有挑战性的课题。该文在利用压缩感知理论可提高系统频谱利用率的基础上,提出了一种适合于快时变环境下MIMO-OFDM 系统的稀疏自适应信道估计方法。该方法不再受到奈奎斯特采样频率条件约束,避免了传统导频辅助信道估计方法频谱利用率低的缺点。该文方法通过构建多天线群时频结构特征稀疏基,利用多天线间和群时变OFDM符号内信道冲激响应具有更强稀疏性的特点,对MIMO-OFDM快衰落信道进行稀疏变换。由于实际MIMO-OFDM快衰落信道往往处于频率选择性、时变性和多种干扰并存的复杂环境,受到干扰的信道参数对系统而言是未知,采用该方法克服了现有基于压缩感知理论的信道估计方法需要预先知道信道冲激响应稀疏度才能重构信道参数的不足,在信道稀疏度未知道的情况下,运用稀疏自适应的方法来对不同时频结构特征的信道参数进行估计。仿真结果表明所提估计方法具有对快时变信道参数估计的鲁棒性和较高频谱利用率,且均方误差小。