叠加训练序列OFDM系统的一种迭代信道估计方法

在瑞利多径衰落信道中，针对叠加训练序列正交频分复用系统的迭代接收机，提出了一种迭代信道估计方法．在迭代译码开始前，利用与数据符号同时发送的训序列得到信道估计初始值，并在每次迭代后利用更新的码字比特先验信息估计接收信号中的数据符号，计算更准确的信道估计值．理论分析给出了每次迭代后的信道估计值的均方误差性能．在多径衰落信道中，通过计算机仿真验证了该迭代信道估计方法的有效性和可靠性。     

时频训练序列OFDM频偏估计方法

给出了一种比率可调节的时频训练序列,通过频域训练序列和预定义查找表实现粗频偏估计,通过时域训练序列实现细频偏估计。仿真结果与复杂度分析表明所提出的方法在负载几乎相同的情况下,性能优于Lei的方法,而运算量却大大降低。     

一种时变信道条件下OFDM系统的信道估计方法

针对正交频分复用（OFDM）系统，本文提出了一种时变条件下的信道估计方法。文中假设数据以包为单位进行传输，导频序列以叠加的方式和数据序列相结合，在得到对应于数据包内每帧OFDM信号的信道冲激响应之后，再在一个包内对这些信道冲激响应进行加权平均，从而提高信道估计的精度。     

基于叠加训练序列的OFDM信道估计

为准确地估计OFDM信道,同时提高带宽传输效率,文章提出了基于叠加训练序列的信道估计方法,给出了基于训练序列的OFDM系统基带模型和算法。仿真结果显示,本文所提方法能达到很好的MSE和BER信道估计性能。     

一种利用叠加训练序列降低OFDM系统PAR的方法

峰均比(PAR)过高是正交频分复用(OFDM)技术亟待解决的关键问题之一。在基于判决指导信道估计的叠加训练序列OFDM系统中,提出一种选择性叠加训练序列降低系统PAR的方法。该方法使用多个相互独立的训练序列分别与数据序列叠加,选择其中PAR性能最好的用于传输,接收端完成信道估计的同时消除了训练序列对数据序列的影响,因此没有增加接收端的复杂度。计算机仿真结果表明:该方法在不增加接收端复杂度的前提下,有效降低了系统PAR,且对信道估计性能不造成任何影响,因此该方法可用于实际系统中。     

选择性叠加导频信道估计

叠加导频信道估计方法是将导频与信息数据直接叠加,不占用专门的频谱和时隙,估计算法灵活多样,能解决导频信道估计系统中频谱利用率低和盲估计中不能实时估计的问题。介绍了叠加导频的MIMO-OFDM系统,采用正交多相序列作为叠加导频,利用导频符号的自相关及导频和接收信号的互相关,提出了一种选择性叠加导频信道估计信道的算法。最后,通过理论分析和计算机仿真,表明该方法在快衰落环境中有良好的性能。     

OFDM系统中基于PN序列的迭代相关检测信道估计

提出了一种基于PN序列进行时域迭代相关检测的信道估计算法,在典型信道下,采用该算法后系统的误码率性能优于传统的频域导频系统.PN序列还可以用于多用户检测、频偏估计和定时同步,因而OFDM系统中使用PN序列的帧结构可以减少系统资源开销,提高频谱利用率.     

基于正交多相序列的OFDM信道估计算法

提出了一种基于正交多相序列的OFDM信道估计算法。该算法采用相关性能良好的正交多相序列作为发送信号的循环前缀,在接收端,提取循环前缀,进行相关计算,最终得到系统频域响应的估计值。通过仿真,验证了在多径衰落信道中,提出的算法比频域梳状导频插入的时域滤波算法及采用小m序列作为循环前缀的信道估计算法具有更高的信道估计精度。     

OFDM叠加导频联合信道估计和检测方法

针对现有正交频分复用(Orthogonal Frequency Division Multiplexing, OFDM)系统信道估计和迭代检测算法中频谱效率低和鲁棒性差等问题,提出了一种基于酉近似消息传递和叠加导频的信道估计与联合检测方法。首先,在软调制/解调中叠加导频对正交幅度调制的星座点进行预处理,检测时将叠加的导频作为频域符号的先验分布,利用置信传播算法进行调制和解调,实现检测模型的简化。然后,应用因子图-消息传递算法对OFDM传输系统和信道进行建模和全局优化,引入酉变换加强信道估计算法的鲁棒性。最后,建立OFDM仿真环境对现有方法进行仿真分析。仿真结果表明,相对于现有的独立导频类算法,所提算法能够以相同复杂度显著提升OFDM系统的频谱效率和鲁棒性。     

OFDM-RoF系统中基于训练序列的信道估计优化方法北大核心

针对OFDM-RoF系统中子载波互拍干扰对信道估计性能的劣化情况,提出了一种基于实数、零间隔的训练序列结合插值算法的方法对信道估计进行优化,研究了该训练序列结合四种插值方法的系统误码率(BER)性能,并通过Matlab与Optisystem软件仿真比较了不同方案的性能。     

Joint carrier frequency offset and channel estimation for OFDM systems with two receive antennas

Carrier frequency offset (CFO) in OFDM systems results in loss of channel orthogonality and hence degrades the system's performance. In this paper, we propose a new method for joint CFO/channel estimation for OFDM systems with two receive antennas. Our method avoids the complexity of full search methods in one or two dimensions. Using one training OFDM symbol and utilizing the knowledge of the structure of the inter‐channel interference that results from CFO, we develop a two‐stage estimation procedure. The first stage derives an initial CFO/channel estimate based on a one shot minimization step. The second stage refines this joint estimate by conducting a small CFO search in the vicinity of the initial estimate. This procedure provides CFO estimates over a full range of −N /2–N /2, (N : number of subcarriers), as well as the channel estimates. Computer simulations show an excellent performance that is very close to the Cramer–Rao lower bound and superior to some existing methods. The effect of antenna correlation on performance is also investigated through computer simulations, showing small performance degradation even at medium correlation coefficients (0.3–0.6). Copyright © 2015 John Wiley & Sons, Ltd.     

Joint frame synchronization and frequency offset estimation in OFDM systems

A new joint frame synchronization and carrier frequency offset estimation scheme in orthogonal frequency division multiplexing (OFDM) systems is proposed in this paper, where both frame synchronization and carrier frequency offset estimation can be performed by using only ONE training symbol. Frame synchronization and carrier frequency offset acquisition are performed simultaneously in the proposed scheme. Reliable frame synchronization is obtained in the proposed scheme even in low SNR. The maximum carrier frequency offset acquisition range of the proposed scheme can be up to one half of the total signal bandwidth. The same training symbol can also be utilized to carrier frequency offset Fine Adjustment, which estimates the remaining carrier frequency offset after acquisition with higher accuracy. The performance comparison of the proposed Fine Adjustment algorithm and Schmidl's algorithm by using computer simulation illustrates and verify the superior performance of the proposed algorithm with regard to estimation accuracy.     

A frequency offset estimation algorithm for OFDM systems

A new fine carrier frequency offset estimation algorithm in Orthogonal Frequency Division Multiplexing （OFDM） system is proposed. The correlation item is the training sequence instead of the received signal in the new algorithm. Simulation results show that the performance of the new algorithm is 4dB-9dB better than that of Schmidl＇s algorithm. Coarse frequency offset estimation is also discussed in this paper, which is the improvement of Zhang＇s method. The estimation range using the improvement method is twice as that using the Zhang＇s method. Based on the hardware of the receiver and the improved algorithm, a method using Fast Fourier Transform （FFT） is proposed to implement the coarse frequency estimation. The chip area of OFDM system can be reduced by using the proposed method.     

Joint estimation of carrier frequency offset, dc offset and I/Q imbalance for OFDM systems

Orthogonal frequency division multiplexing (OFDM) systems with direct-conversion receiver (DCR) are vulnerable to carrier frequency offset (CFO), dc offset (DCO) and in-phase/quadrature (I/Q) imbalance. In this paper, we propose blind estimator for joint estimation of CFO, DCO and I/Q imbalance in OFDM systems with DCR. Simulation results show that performance of proposed estimator approaches Cramér-Rao lower bound (CRLB) asymptotically, which demonstrates its effectiveness.     

Joint estimation of channel response, frequency offset, and phase noise in OFDM

Accurate channel estimates are needed in orthogonal frequency-division multiplexing (OFDM), and easily obtained under the assumption of perfect phase and frequency synchronization. However, the practical receiver encounters nonnegligible phase noise (PHN) and carrier frequency offset (CFO), which create substantial intercarrier interference that a conventional OFDM channel estimator cannot account for. In this paper, we introduce an optimal (maximum a posteriori) joint estimator for the channel impulse response (CIR), CFO, and PHN, utilizing prior statistical knowledge of PHN that can be obtained from measurements or data sheets. In addition, in cases where a training symbol consists of two identical halves in the time domain, we propose a variant to Moose's CFO estimation algorithm that optimally removes the effect of PHN with lower complexity than with a nonrepeating training symbol. To further reduce the complexity of the proposed algorithms, simplified implementations based on the conjugate gradient method are also introduced such that the estimators studied in this paper can be realized efficiently using the fast Fourier transform with only minor performance degradation. EDICS: SPC-MULT, SPC-CEST, SPC-DETC.     

Carrier frequency offset estimation for OFDM systems using subcarriers

Carrier frequency offset (CFO) in orthogonal frequency-division multiplexing(OFDM) systems, which can induce the loss of orthogonality among subcarriersand result in significant performance degradation, is critical to be estimatedand compensated for. In this paper, a suboptimal scheme is proposed to estimatethe CFO using subcarriers. In the proposed scheme, the CFO is dividedinto the fractional part and the integer part, with the fractional CFO estimatedfollowed by the integer CFO estimation. Compared with previous work using subcarriers and exhaustive search, the implementation complexity of theproposed scheme is significantly lower due to the fact that the main componentrequired is a simple correlator. Furthermore, with only one trainingOFDM symbol and proper subcarrier allocation, the estimation range ofthe proposed scheme can be the inverse of the sampling duration. In contrast,conventional schemes with the same estimation range and complexity require two OFDM symbols. To achieve good performance,it will be shown that the subcarrier allocation should be based uponsome specific binary sequences such as the proposed extended m-sequences. It willalso be shown by simulations that the same subcarrier allocation criterionshould be employed for optimal maximum-likelihood CFO estimation.     

一种改进的适用于分组传输的OFDM频偏估计方法

提出了一种改进的基于训练符号的频偏估计方法.该方法通过综合利用训练符号和循环前缀的信息得到时域的细频偏估计,通过峰值检测得到频域的粗频偏估计.仿真结果表明,在多径衰落信道下,在频偏估计范围达到整个信号带宽的同时,本算法的估计精度也有了明显的提高,并且当信噪比达到12dB时,可以使剩余频偏限制在子载波间隔的2％以内.     

Joint data detection and channel estimation for OFDM systems

We develop new blind and semi-blind data detectors and channel estimators for orthogonal frequency-division multiplexing (OFDM) systems. Our data detectors require minimizing a complex, integer quadratic form in the data vector. The semi-blind detector uses both channel correlation and noise variance. The quadratic for the blind detector suffers from rank deficiency; for this, we give a low-complexity solution. Avoiding a computationally prohibitive exhaustive search, we solve our data detectors using sphere decoding (SD) and V-BLAST and provide simple adaptations of the SD algorithm. We consider how the blind detector performs under mismatch, generalize the basic data detectors to nonunitary constellations, and extend them to systems with pilots and virtual carriers. Simulations show that our data detectors perform well.     

Joint carrier frequency synchronization and channel estimation for OFDM systems via the EM algorithm

A joint carrier frequency synchronization and channel estimation scheme is proposed for orthogonal frequency-division multiplexing (OFDM) system. In the proposed scheme, carrier frequency synchronization and channel estimation are performed iteratively via the expectation-maximization (EM) algorithm using an OFDM preamble symbol. Moreover, we analytically investigate the effect of frequency offset error on the mean square error (MSE) performance of channel estimator. Simulation results present that the proposed scheme achieves almost ideal performance for both channel and frequency offset estimation.