一种新的PCC-OFDM盲时偏估计算法

提出了一种新的PCC-OFDM盲时偏估计算法,首先使时域信号包络与窗函数循环卷积,进行时偏快速粗估计,然后利用解调信号方差进行判决,获得精确的时偏估计.该算法不需要训练序列、导频信号或循环前缀.仿真结果证明,该算法估计精度高于已有的PCC-OFDM盲时偏估计算法.     

一种新的OPCC-OFDM盲时偏估计算法

提出了一种新的PCC-OFDM盲时偏估计算法,首先使时域信号包络与窗函数循环卷积,进行时偏快速粗估计,然后利用解调信号方差进行判决,获得精确的时偏估计。该算法不需要训练序列、导频信号或循环前缀。仿真结果证明,该算法估计精度高于已有的PCC-OFDM盲时偏估计算法。     

一种新的PCC-OFDM定时时偏盲估计

多项式相消编码PCC是一种编码技术，在PCC—OFDM调制中，它把将发送的信息调制到一组加权的子载波而不是单个子载波中去。PCC能够显著地降低OFDM对载波频偏的敏感性。本文对PCC—OFDM系统提出了一种新的定时盲估计，估计器是在接收机中的FFT之前进行的。基于PCC—OFDM的符号波形特征，构建定时时偏估计度量函数。最大化度量来估计定时时偏。本估计器不需要训练序列、导频信号或周期前缀。仿真表明，估计器在一个OFDM符号内收敛，且误差较小。     

突发信号频偏和时偏估计算法

文章对突发通信系统中频偏和时偏估计算法的理论性能界进行了介绍,针对不同应用场景总结了常用的频偏和时偏估计算法,提出了改进算法,并对改进算法进行了仿真分析,结果表明本文提出的改进算法在估计范围和估计精度方面性能优于传统频偏和时偏估计算法。     

MIMO-OFDM迭代时变频偏估计算法

MIMO-OFDM是一种高速的通信技术,满足了未来舰载雷达协同通信时隙小、数据量大的要求。但是舰船间的相对速度会导致通信频率的不断变化,而且MIMO-OFDM技术对频偏又十分敏感,因此必须对时变频偏进行估计。本文假设每一帧信号的频偏都是随机变量,提出了利用期望最大化（EM）和最大后验概率（MAP）译码算法相结合的时变频偏估计和信号检测算法。计算机仿真结果表明,该算法可以准确地估计时变频偏,而且系统的误码率性能和频偏估计精度可以随着迭代次数的增多而提高。     

OFDM空时发射分集系统信道盲估计

本文研究了OFDM空时发射分集系统的子空间信道盲估计方法。该方法仅利用空时编码及OFDM调制引入的冗余,在接收天线小于发射天线时,也可以对信道进行盲估计。对盲估计方法所共有的估计模糊性问题进行了详细的论述,证明估计仅存在两个标量不确定因子。这种方法不需要对信号进行冗余预编码,系统将有更高的速率;同时也不需要对系统输出进行过采样或采用多天线接收。由于不需要确切知道信道的阶数,算法对信道阶数过估计有较好的鲁棒性。     

OFDM系统的对数似然比最大化盲频偏估计算法

为了消除短波OFDM通信中的频率偏移问题,对差分OFDM信号进行了分析,并对最大后验概率（MAP）译码的性质进行了研究,提出了一种似然比最大化的迭代盲频偏估计算法。由于该算法充分利用了软译码得到的似然比信息,因此可以实现最优信号检测。计算机仿真证明了该算法的有效性。进行了短波OFDM信号通信实验,得到了实测数据。实测数据检测结果表明,该算法的误码率性能随着迭代次数的增加而提高,且一发两收系统性能要比单发单收系统性能至少提高2 dB。     

最大似然时偏估计算法对OFDM系统同步性能的改善

文章提出一种新的OFDM系统中的最大似然时偏估计算法，该算法在AWGN信道和多径衰落信道两种环境下与H．Minn的算法基于估计的均方误差进行了性能比较，通过比较，得出该算法不仅在高信噪比的情况下．而且在多径衰落环境下仍能保证较高的估计精度和较低的运算复杂度。     

一种新的多用户OFDM系统的频偏估计算法

由于载波频偏会给多用户正交频分复用（Orthogonal Frequency—Division Multiplexing，OFDM）系统带来子载波之间干扰，从而造成多用户之间的干扰，导致系统性能下降．本文研究了多用户OFDM上行链路的频偏估计问题，通过使用多用户检测中的干扰抵消方法提出一种迭代参数估计算法用于估计多用户OFDM上行链路的频偏，该算法解决了使用似然估计（Maximum Likelihood，ML）进行多维搜索的问题，降低了ML估计器的复杂度，同时解决了多个频偏估计的问题。     

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.     

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.     

一种新的OFDM采样频偏盲估计算法

针对OFDM技术对系统的时钟同步要求非常高的问题,提出了一种新的采样频偏盲估计算法,该算法可较好地解决估计精度和估计复杂度的折中问题。通过仿真结果表明,在高斯白噪声信道下,与同类算法相比,该算法不仅估计精度高,而且估计复杂度低,符合实际工程应用。     

OFDM分数倍频偏与码元定时的联合估计

Smidle和Cox（SC）算法是OFDM系统中频偏和码元定时估计的经典算法。基于SC的导频设置,利用最大似然（ML）准则,提出一种分数倍频偏（FFO）和码元定时联合估计算法,通过计算机仿真比较可以看出,文中提出的联合估计算法的FFO估计性能与SC算法相同,而码元定时估计方法的性能明显优于SC算法。     

一种LOFDM系统定时和频偏的盲估计算法

基于网格正交频分复用(LOFDM)信号的周期平稳性,该文提出一种LOFDM系统定时和载波频率偏差的盲估计算法。理论分析和仿真实验证实由该算法构造的估计器能够有效地对抗频率选择性慢时变信道引起的衰落;在信道噪声广义平稳的情况下,估计器性能与信噪比无关,于是估计器在低信噪比条件下也能很好地工作;另外,符号定时和频率偏差估计器的性能互不影响。     

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 Estimator for Coarse Carrier Frequency Offset Estimation in OFDM Systems

Orthogonal frequency division multiplexing (OFDM) systems are more sensitive to carrier frequency offset (CFO) compared to the conventional single carrier systems. CFO destroys the orthogonality among subcarriers, resulting in inter-carrier interference (ICI) and degrading system performance. To mitigate the effect of the CFO, it has to be estimated and compensated before the demodulation. The CFO can be divided into an integer part and a fractional part. In this paper, we investigate a maximum-likelihood estimator (MLE) for estimating the integer part of the CFO in OFDM systems, which requires only one OFDM block as the pilot symbols. To reduce the computational complexity of the MLE and improve the bandwidth efficiency, a suboptimum estimator (Sub MLE) is studied. Based on the hypothesis testing method, a threshold Sub MLE (T-Sub MLE) is proposed to further reduce the computational complexity. The performance analysis of the proposed T-Sub MLE is obtained and the analytical results match the simulation results well. Numerical results show that the proposed estimators are effective and reliable in both additive white Gaussian noise (AWGN) and frequency-selective fading channels in OFDM systems.