OFDM系统中的联合同步和信道估计

在OFDM系统中,由于定时恢复、频率同步和信道估计之间存在密切联系,时延和频偏的估计误差会影响信道响应估计的准确性.本文采用IEEE802.11a无线局域网系统标准定义的训练序列进行联合估计.考虑系统性能优化和算法简化,将处理过程分成两步,首先得到粗的同步和信道响应估计,再利用得到的结果进行细同步和信道估计.实验结果显示信道估计精度高,系统误码率低.     

OFDM传输系统同步方案简介

本文研究数字地面电视DVB-T的OFDM传输系统接收端的同步。根据OFDM的原理特点和DVB-T标准，设计同步方案。该方案采用多载波（OFDM）系统进域插在循环保护间隔携带的冗余信息进行粗符号和分数频率偏移估计。该方案利用OFDM系统时域插入的保护间隔前缀所携带冗余信息，进行粗符号同步和分数频率偏移估计。FFT后，再利用频域插入的连续导频进行整数频偏估计，及利用分数导频通过估计信道冲击响应，实现精符号同步。仿真表明，同步设计在加性高斯白嗓声信道能达到最佳性能，在慢衰落Rayleigh信道下也有较好的性能。     

一种适合同步与信道估计的信号帧结构设计

提出了一种结合PN序列和Golay互补序列的超帧结构,并给出了相应的同步和信道估计的实现方法。在进行同步时,先采用PN序列差分相关算法进行粗同步,再利用交替插入的Golay互补序列进行细同步。在进行信道估计时,利用Golay互补序列的理想非周期自相关性质进行时域信道估计。仿真证明,超帧结构同时包含PN序列和Golay序列,在同步和信道估计时能兼顾这两种序列的优点。     

一种新的SC-FDE系统粗定时同步算法

定时同步是单载波频域均衡(SC-FDE)系统的一项关键技术,其中的粗定时同步算法决定着同步收敛速度,由Schmidl和Cox提出的传统算法中出现的测度峰值平台影响着粗同步的精度与速度。通过训练符号格式的重新设计,利用其中4个相同部分良好的相关特性,提出了一种基于特殊训练符号的粗同步算法。仿真结果表明,在高斯白噪声信道和多径衰落信道条件下,新算法定时偏差估计的方差和均值接近于理论值,粗定时同步能够精确地完成,较好解决了测度峰值平台问题。     

一种改进的LTE系统下行同步算法

LTE(Long Term Evolution)系统中,作为小区搜索的第一步,符号定时算法需要具备很强的鲁棒性。为了进一步增强现有符号同步算法的抗频偏性能,提出了一种优化的符号同步算法。该算法一方面保持已有分段相关同步算法的优点,同时考虑结合预频偏处理来进行符号定时与粗频偏的联合估计,再将多个相关运算集做叠加处理。理论分析和仿真实验结果表明,在多径信道下,所提算法在完成符号定时和粗频偏估计的同时,大大提高了系统抗频偏性能。     

OFDM传输系统同步方案简介

本文研究数字地面电视DVB-T的OFDM传输系统接收端的同步。根据OFDM的原理特点和DVB-T标准,设计同步方案。该方案采用多载波(OFDM)系统时域插在循环保护间隔携带的冗余信息进行粗符号和分数频率偏移估计。该方案利用OFDM系统时域插入的保护间隔前缀所携带的冗余信息,进行粗符号同步和分数频率偏移估计。FFT后,再利用频域插入的连续导频进行整数频偏估计,及利用分散导频通过估计信道冲击响应,实现精符号同步。仿真表明,同步设计在加性高斯白噪声信道能达到最佳性能,在慢衰落Rayleigh信道下也有较好的性能。     

多径衰落信道下的OFDM时频联合同步算法

符号定时和载波频率偏差将严重影响OFDM系统的性能。基于具有重复结构的CAZAC序列,提出了一种仅利用一个CAZAC符号实现符号定时、整数倍频偏与小数倍频偏估计的同步算法。这种算法在完成粗定时同步的同时得到整数倍频偏估计,然后根据整数倍频偏估计值对定时估计进行修正,最后完成小数倍频偏估计。分析与仿真结果表明,该算法相对经典算法,不但提高了传输效率,还显著改善了OFDM系统的定时与频偏估计性能,相比CAZAC序列算法,提升了多径信道下的同步性能。     

基于循环移位前导序列的OFDM载波同步方法

提出一种基于循环移位前导序列的正交频分复用（Orthogonal Frequency Division Multiplexing，OFDM）系统载波同步方法，该方法根据离散傅里叶变换（Discrete Fourier Transform，DFT）的时移性质，构造循环移位前导序列，并设计了两个频偏估计器。由估计器1完成粗同步，而精同步采用两个估计器的最优线性组合完成。在多径信道下优化估计器的设计，消除了均方误差中出现的地板效应。新算法与传统算法相比，估计范围大，运算精度高，且估计范围和精度可灵活调节。同时分析并得出了本估计方法的Cramer—Rao下限。仿真结果表明，新算法降低了均方误差和误码率，有效提高了系统性能。     

分布式MIMO-OFDM系统的同步捕获算法

该文提出了一种分布式多输入多输出正交频分复用(MIMO-OFDM)系统初始信号检测和同步捕获算法。该算法设计了导频符号,采用谱分析方法实现可靠的初始信号检测、粗定时和粗频偏估计,并在快速傅里叶变换(FFT)之后进行精确地频偏和定时估计。仿真结果表明,该算法在低信噪比多径瑞利信道条件下具有很好的性能。     

iNET系统多径衰落信道下的两步频偏估计算法

针对多径衰落信道下的载波同步问题,通过分析修正的经典估计器不能同时兼顾估计范围和估计精度的缺陷,提出了一种两步频偏估计算法.对于iNET系统采用的SOQPSK-TG信号,利用前导码的周期性,对多径衰落信道下的频偏估计进行了研究.首先在保持iNET帧结构导频开销不变的前提下,对前导码结构进行改进;然后基于改进Kay算法进行粗估计,再用L&R算法进行细估计;推导了改进前导码结构下的Kay估计子和L&R估计子.理论分析和仿真结果表明,所提同步方案的估计范围扩大了一倍,估计精度也可以达到克拉美罗界.     

Joint Synchronization and Channel Estimation for OFDM Systems

1Introduction Orthogonal Frequency Division Multiplexing(OFDM) has become a popular technique for transmis-sion of signals over wireless channels . OFDMhas beenadoptedinseveral wireless standards such as Digital Au-dio Broadcasting ( DAB) , Digital Video Broadcasting(DVB-T) ,the IEEE 802 .11a[1]Local Area Network(LAN) standard and high performance LAN type 2(HIPERLAN/2)[2]standard. OFDMis also being pur-sued for Dedicated Short-Range Communications(DSRC) for road side to …     

A combined timing and frequency synchronization and channel estimation for OFDM

This letter addresses training-signal-based combined timing and frequency synchronization and channel estimation for orthogonal frequency-division multiplexing systems. The proposed scheme consists of two stages. At the first stage, coarse timing and frequency-offset estimates are obtained. Based on these estimates, a (coarse) channel response estimate is obtained. The timing and frequency-offset estimates at the second stage are obtained by maximum-likelihood (ML) realization based on a sliding observation vector. Then ML channel estimation is performed. A means of complexity reduction by an adaptive scheme is also presented. The simulation results show that the proposed combined approach performs quite well, and circumvents the problem of mismatch among individual synchronization tasks.     

Data-Aided Synchronization for MF-TDMA Multi-Carrier Demultiplexer/Demodulator (MCDD)

In this paper, a data-aided (DA) synchronization method is developed to jointly recover symbol-timing, frequency offset, and carrier phase for MF-TDMA on-board processing (OBP) satellite system. The estimates, which are obtained from a block of symbols transmitted through an Additive White Gaussian Noise (AWGN) channel and a fast Rayleigh fading channel, can be obtained with reduced computational complexity and fast acquisition time. The estimation accuracy in terms of MSE is derived and illustrated. Its effect on the overall system BER performance is also discussed. Furthermore, the relationships between timing synchronization, frequency offset recovery, and carrier phase error compensation are also analyzed respectively. It is apparent that the proposed estimation method is not only accurate and efficient, but it makes the communication system robust to impairment parameters as well.      

高性能的OFDM频偏估计新方法

频偏估计是OFDM的关键技术.本文提出了一种具有高精度的OFDM频偏估计新方法.新方法首先将接收信号与本地训练序列作相关来消除训练序列的影响,然后进行频率粗同步.补偿粗频偏后再利用消除训练序列影响的序列或循环前缀作相关实现频率精同步.新方法具有频率偏移估计范围大和估计精度高的优点.文中分析并得出这两种估计方法的频偏估计下界.此频偏估计方法使训练序列的设计更加灵活,可按时间同步或信道估计等性能最优来设计.     

跳频OFDM通信系统同步算法及实现

结合跳频通信技术抗干扰和正交频分复用(OFDM)技术节省频带资源的优点,提出了一种通信帧格式及其同步算法。该算法构造了每个载波上传输隐藏伪随机序列的OFDM数据,利用伪随机序列良好相关特性实现了定时估计和粗频偏捕获,再使用ML估计算法进行细频偏估计,能够使OFDM技术应用到跳频通信领域。仿真和实验结果表明,在多径信道下,提出的算法单个定时估计和频偏估计误差小。     

A Bayesian maximum-likelihood sequence estimation algorithm for apriori unknown channels and symbol timing

It is shown that the optimum demodulator for the case of an a priori unknown channel and symbol timing can be approximated using a modified Viterbi algorithm (VA), in which the branch metrics are obtained from the conditional innovations of a bank of extended Kalman filters (EKFs). Each EKF computes channel and timing estimates conditioned on one of the survivor sequences in the trellis. It is also shown that the minimum-variance channel and timing estimates can be approximated by a sum of conditional EKF estimates, weighted by the VA metrics. Simulated bit error rate (BER) results and averaged-squared channel/timing error trajectories are presented, with estimation errors compared to the Cramer-Rao lower bound. The BER performance of the modified VA is also shown to be superior to that obtained using a decision-directed channel/timing estimation algorithm     

一种新的基于稀疏导频的OFDM定时同步算法

本文研究了OFDM系统中精确定时估计问题.论文提出了一种新的数据辅助定时同步算法,算法适用于可分辨径数目较少的多径信道环境.通过设计特殊形式的稀疏导频,算法的定时估计精度要优于经典的数据辅助定时估计算法.同时,用同一块导频还可以完成小数倍频偏估计,从而提高了导频的利用效率.仿真表明,算法同时具有较好的定时和频偏估计性能.     

Frequency and Timing Offset Estimation Using Single Reference Symbol

In this paper we will investigate the performance of an estimator employing single OFDM reference symbol for timing and frequency offset estimation. We will show how both coarse and fine frequency offset estimation can be performed with this single OFDM reference symbol. The performance of this estimator will be compared with the ML estimator employing OFDM reference symbols of different length for coarse and fine frequency offset estimation. It will be shown that, unlike ML estimator, the estimation range of the analyzed estimator is not constrained.