一种全数字QAM接收机符号定时和载波相位恢复方案

本文提出的全数字ＱＡＭ接收机同步系统的实现方案，将最大平均功率定时同步算法与最大似然载波相位恢复方法相结合，实现了符号定时的同步和载波相位的恢复，整个算法构成一个数字信号处理过程，将符号定时、载波相位和符号解调最佳问题的三维搜索分解为符号定时和载波相位最佳估计的一维搜索，在实现同步的同时也得到符号的最佳解调。算法在定时和相位估计过程中分别采用局部并行前向结构，运算速度快，不需要专门设计同步头就能用于ＴＤＡＭ突发模式。     

MIMO-OFDM系统的两步符号定时同步方法

多天线正交频分复用（MIMO-OFDM,Multiple-Input and Multiple-Output Orthogonal Frequency Division Multiplex）系统中,精确的符号定时同步可使接收端解调数据时消除载波频率偏移和符号间干扰。而由于MIMO空间信道复杂度较高,使得单天线OFDM系统的同步方法不能直接应用于MIMO-OFDM系统中。提出的两步同步方法首先利用时域导频作为第一步同步进行粗同步,然后利用循环交织前缀作为第二步同步对每一个MIMO-OFDM符号进行同步偏差调整。需要指出的是,两次同步过程均可以产生尖锐的相关峰,使得同步精度大为提高。     

一种数字中频接收机的符号定时同步方法

深入研究了数字中频接收机的符号定时同步，提出了一种数字中频符号定时恢复方法。该方法属于反馈内插恢复，可以结合数字下变频在FPGA（现场可编程门阵列）或ASIC（专用集成电路）中实现，提高了跟踪速度和精度。最后对QPSK（四相相移键控）信号进行了仿真，仿真结果表明了该方法的可行性和实用性。     

基于CAZAC序列的突发通信定时同步算法

介绍了一种基于恒包络零自相关序列(CAZAC)为前导字的突发通信定时同步算法。该算法采用最大似然估计准则,利用CAZAC序列的零自相关特性,直接得到定时同步参数的估计值,且该算法所需的计算量较低,适合数字硬件实现。最后,仿真结果验证了该算法的可行性和有效性,并给出了其主要的硬件实现结构。     

一种具有同步锁定检测的符号定时恢复方法

本文介绍了具有同步锁定检测的符号定时恢复方法。此方法在Garder检测器的基础上，不改变整个定时环路的结构，巧妙的利用了原Garder检测器的采样点，在检测定时偏差的同时，它可以很好的指示出符号是否同步。本文阐述了它的基本原理，分析了它的性能，并经过推导，给出了相关的数学表达式和相应的电路实现模型以及特性曲线(S曲线)。最后给出了在QAM数据解调中其相应的仿真结果。     

突发OFDM系统中的快速符号定时同步

提出了一种在突发OFDM系统中,基于改进前导序列的快速粗符号定时方法。与传统算法比较,该算法不受频率偏移的影响,适合于频偏捕获之前的符号定时同步。运算复杂度降低,适合于突发通信中的快速同步。提高了定时精度,克服了传统算法符号定时模糊的缺点,所以特别适合于突发模式下频偏捕获之前的快速粗符号定时同步。     

一种新的波特率采样定时同步方法

本文提出了一种波特率采样定时同步的新方法。这种定时误差估计方法无需对前端的AGC电路提出很高的要求,计算机仿真表明估计性能有很大改善。     

瑞利衰落信道下改进的OFDM符号定时算法

对相干OFDM系统中结合循环前缀和导频信息的传统符号定时同步算法进行了分析和研究,提出了一种改进的符号定时同步算法.此算法相对于传统算法由于更加有效的利用了观察样本信息,具有更大的定时同步范围.同时考虑时间偏移参数在若干OFDM符号区间内不变,给出了一种利用连续多个OFDM符号的算法,以提高定时同步的准确度.仿真验证了所提出算法在瑞利衰落信道下可以有效地改进传统算法的定时性能.     

一种改进的OFDM系统符号定时同步算法

文章在研究Schmidl＆Cox同步算法的基础上,提出了一种改进的符号定时同步算法。改进后的算法通过对原算法训练符号的加权,消除了定时同步中的峰值平台问题。仿真结果显示,该算法的定时同步性能优于原算法。     

一种优化的OFDM符号定时与频偏估计算法及其FPGA实现

符号定时与频偏估计是OFDM系统中的关键技术之一.本文分析了符号定时偏差与载波频偏对OFDM系统性能的影响,提出了一种优化的最大似然同步算法,并给出了在FPGA中的硬件实现方案,得到其仿真结果.传统的循环前缀符号同步算法,仅仅利用一个OFDM符号的循环前缀及其相应部分的相关性,其相关峰值不明显,同步效果不理想.本文提出一种充分利用连续多个OFDM符号同时进行相关功率运算,在同样信噪比的情况下,相对于单个OFDM符号进行同步估计的系统,符号定时与频偏估计的精度更高,误差更小.     

Data-Aided Symbol Timing Estimation for Linear Modulation

Timing phase estimation (TPE) plays the key role in feedforward (FF) symbol timing.For reasons of performance often data-aided (DA) methods are preferred. But frequently, they turn out to be critical with respect to theimplementation and the spectrum efficiency (due to the required overhead).This paper presents three DA TPE methods for quadrature pulse amplitude modulation (PAM). In spite of their very low complexity, these methods closelyapproach the theoretical limit for timing estimation with respect to the estimation variance, even at low SNR. This enables power efficient transmission.Further, they employ a CAZAC (constant amplitude, zero auto-correlation)sequence as training-sequence (TS), or a sequence with similar correlationproperties. Since such sequences are suited for almost all DA receiver tasks, a high spectrum efficiency can be obtained by the use of a single TS. A generalization of the proposed methods for DA TPE withrespect to the choice of the TS is also shown. The presented methods can be applied to noncoherent receivers. They are suited for high data-rate applications, since they can work with an oversampling factor of 2.     

A Data-Aided Symbol Timing and Frequency Offset Estimation Algorithm for OFDM Systems

In this paper the problem of data-aided symbol timing and frequency offset estimation in OFDM systems is considered. A synchronization scheme based on a pilot symbol containing two identical parts obtained by transmitting BPSK data symbols on the even subcarriers and setting zero on the remaining subcarriers is proposed. In this case, if the number of subcarriers is sufficiently large, the pilot symbol can be modeled as a noncircular (NC) complex Gaussian random vector (CGRV). By exploiting the joint probability density function of NC-CGRVs, the joint maximum likelihood estimator for the parameters of interest is derived. Since its implementation complexity is high, a simpler synchronization scheme is obtained. Moreover, refined symbol timing and frequency offset estimators, that assure relevant performance in multipath channels, are proposed. T. Fusco was born in Naples, Italy, on March 22, 1977. She received the Dr. Eng. degree (summa cum laude) in electronic engineering from the Second University of Napoli in 2002. Since November 2002 she has been a Ph.D. student at the Department of Electronic and Telecommunication Engineering of the University of Napoli Federico II. Her current research and study interests lie in the area of statistical signal processing, with emphasis on parameter estimation problems in the context of OFDM communications. M. Tanda was born in Aversa, Italy, on July 15, 1963. He received the Dr. Eng. degree (summa cum laude) in electronic engineering in 1987 and the Ph.D. degree in electronic and computer engineering in 1992, both from the University of Napoli Federico II. Since 1995, he has been an Appointed Professor of Signal Theory an the University of Napoli Fe-de-ri-co II. Moreover, he has been an Appointed Professor of Electrical Communications (from 1996 until 1997) and Telecommunication Systems (from 1997) at the Second University of Napoli. He is currently Associate Professor of Signal Theory at the University of Napoli Federico II. His research activity is in the area of signal detection and estimation, multicarrier, and multiple access communication systems.     

跳频电台中的CPM符号定时同步和频偏估计

提出了一种CPM的符号定时同步和频偏估计方法.首先分析了符号定时同步精度和频率偏差对解调性能影响.针对超短波跳频电台,提出了采用波形相关和最大似然估计定时偏差的方法,将同步精度提高到Ts/16;同时提出了采用预置频偏校正法减小频偏的影响.计算机仿真表明,该方法能使CPM的解调性能接近准确同步、无频偏的性能,验证了CPM...     

Maximum Likelihood (ML) Symbol Timing Recovery (STR) Techniques for Reconfigurable PAM and QAM Modems

A fast symbol timing recovery (STR) scheme suitable for flexible-symbol-rate, burst-mode M-ary QAM (M-QAM) and PAM (M-PAM) demodulators used in broadband communications is proposed. The maximum- likelihood (ML) estimation is used to derive a feed-forward STR strategy to achieve fast and accurate derivation of the optimum timing instant with a very short training preamble for applications requiring short packet transmission. In addition, the signal sample at the optimum timing instant is reproduced by interpolation. Analysis to derive the ML-based timing estimation algorithm and STR structure is presented. Analytical models are developed to evaluate the effects of imperfect interpolation and channel additive white Gaussian noise (AWGN) on the timing estimation performance. The derived expressions can be used for optimum interpolation filter design and selection of key parameters to achieve the required mean squared timing error. Simulation results are in good agreement with the analytical prediction.     

基于统计的OFDM符号定时同步

正交频分复用（OFDM）的主要思想是将信道分成若干正交子信道,将高速数据信号转换成并行的低速子数据流,调制在每个子信道上进行传输,每个信道上的信号可以看成平坦性衰落,可以消除符号间干扰。因此,OFDM技术具有很强的抗多径能力和很高的频谱利用率。但是由于OFDM采用了正交的子载波,对同步误差极其敏感。主要研究了OFDM系统的符号定时同步算法,并对现有的算法进行仿真和优化,最终通过硬件调试实现了算法的功能。     

OFDMA系统上行链路的符号定时估计

在多径信道中,任何符号定时的变化,都会增加OFDMA系统对时延扩展的敏感程度,为了获得最佳的系统性能,需要尽量减小符号定时同步的误差.已有的符号定时估计算法多是基于特定训练序列的,其优点是实现简单且较为准确,但需要占用额外的频谱资源,且时间偏移量需小于循环前缀的长度.文中提出的基于子载波相位差分的符号定时估计算法是一种盲估计算法,不需要额外发送训练序列,节省了资源,且对时间偏移量大于循环前缀的情况同样适用.     

一种新的每符号两个样点的前向定时估计算法

针对线性调制信号,提出一种新的每符号两个样点的非数据辅助的前向符号定时估计算法。算法的基本思想是：首先,将两倍符号速率的样点信号通过一个特定的抗混叠滤波器,使得输出信号经非线性变换后,在符号速率处不再混叠;然后,利用传统的平方律非线性等算法估计定时相位偏差。文中详细描述了算法的推导过程。最后的仿真数据表明,在计算复杂度相当的情况下,新算法的估计性能优于其他两种算法,并且对于信号及应用环境的适应性更强。     

OFDM系统中一种高效的符号定时估计算法

本文提出了一种新的适合于OFDM系统的符号定时估计算法。该算法利用经过特殊处理的前后两段信息序列的内在相关性进行准确的符号定时估计。理论分析和仿真表明,该算法能在大频偏低信噪比的条件下完成定时捕获的任务,并且无需专门的训练符号,从而大大提高了系统传输的效率。