一种基于期望最大化的OFDM半盲信道估计算法

提出了一种OFDM半盲信道估计算法。传统的OFDM系统信道估计是依赖于训练序列，但是在无线通信系统中，运用半盲信道估计的性能和灵活性更好。在无线局域网的5GHz频宽的OFDM背景下，利用EM算法仿真，结果表明该算法的SNR与传统训练序列信道估计比较提高了2dB。     

一种改进的单音干扰下OFDM系统盲信道估计算法

在相关检测的OFDM系统中,信道估计具有十分重要的意义。研究了一种在单音干扰环境下的OFDM系统中基于预编码的盲信道估计方案。利用接收的干扰信号的频域信息对单音干扰信号进行准确估计与重构,有效地消除了干扰信号的影响,提高了单音干扰下盲信道估计的准确性。与其他盲信道估计算法相比,基于预编码的盲信道估计算法具有较低的运算复杂度以及较快的收敛速度。仿真结果表明了该算法在干扰估计以及信道估计两方面都取得了较好的性能。     

MIMO-OFDM系统中的信道估计算法

本文对MIMO—OFDM系统中的信道估计技术进行了介绍,根据是否使用训练序列,信道估计可以分为导频辅助信道估计、盲信道估计及半盲信道估计,本文分别对已有的信道估计算法进行了综述,并对一种已有的基于m序列的时域信道估计方法进行了改进。     

基于噪声子空间跟踪的OFDM盲信道估计

基于子空间分解的OFDM信道估计算法利用信号子空间和噪声子空间的正交性可以对信道参数进行盲估计,但是子空间分解的运算量大,使盲信道估计算法的实用化受到限制。本文在噪声子空间自适应跟踪的基础上进行OFDM盲信道估计,显著降低了运算量。仿真结果表明,在适当选择学习因子后可以实现对噪声子空间的快速跟踪,在噪声子空间跟踪的基础上得到的信道估计性能接近于子空间分解法。     

MIMO-OFDM中基于系统分解的VC子空间盲信道估计快速算法

研究MIMO-OFDM系统中的盲信道估计问题。将OFDM系统中的子空间盲信道估计方法引入到MIMO-OFDM系统中,建立了带有虚拟载波的系统数据传输模型。针对MIMO-OFDM系统VC子空间盲信道估计算法复杂度高的特点,提出了一种该算法下基于系统分解的快速方法。仿真实验结果表明,算法在RMSE性能上稍差于原算法,但却显著降低了信道估计算法的复杂度,对快速信道估计应用方面具有一定的指导意义。     

OFDM系统中基于恒模的盲信道估计算法

该文提出了一种适用于采用PSK调制方式的正交频分复用(OFDM)系统的准盲信道估计算法。该算法首先利用系统信号的恒模特性得到有限个可能的信道,然后利用信号的有限字符特性从可能信道中寻找出最佳信道,因而具有较低的计算复杂度。与现有的盲信道估计算法不同,该算法利用二阶统计量而不是高阶统计量估计信道,获得了较好的估计性能。仿真结果表明,该算法的性能优于基于有限字符特性的盲信道估计算法。     

MIMO—OFDM系统的盲信道估计算法综述

本文首先介绍了MIMO—OFDM系统模型，然后讨论了研究MIMO—OFDM移动通信系统信道估计的意义．紧接着对MIMO—OFDM系统目前存在的几种典型盲信道估计算法进行分析和讨论，最后总结和展望了MIMO—OFDM系统信道估计算法的研究方向和关键问题。     

OFDM系统中盲、半盲以及非盲信道估计方法的Cramér-Rao界

从OFDM信号系统的矩阵表示出发,推导了OFDM系统中盲、半盲以及非盲信道估计方法的CRB,其中,半盲信道估计的CRB是一般的表达式,经过外推可以得到盲信道估计和非盲信道估计的CRB。在推导盲信道估计的CRB时,证明了线性约束和二次约束两种情况下的CRB是一致的。针对OFDM系统的两种不同方案CP-OFDM和ZP-OFDM,分别进行了信道估计的性能仿真,验证了所推导CRB的正确性,并且利用CRB对一些信道估计方法进行了性能评价。     

一种改进的OFDM盲信道估计算法研究

信道估计在无线OFDM系统中至关重要,现有的盲信道估计算法中存在计算复杂度高、精度低的缺点。研究了一种改进的适用于SISO-OFDM系统的非冗余预编码的盲信道估计算法。在改进的算法中,由于采用幂法获得主特征值取代了原有采用特征值分解,使复杂度大大降低。仿真结果表明,改进的算法性能优于原有的基于预编码的盲信道估计算法。     

基于OFDM信号周期平稳特性的盲信道估计算法

该文提出一种基于信号周期平稳特性的盲信道估计算法,用于频率选择性衰落环境下的正交频分复用(OFDM)系统。该算法利用OFDM信号本身具有的周期平稳特性以及其周期自相关函数值的能量分布规律,确定信道阶数,并通过确定信道零点的方法间接获得信道冲激响应。理论和仿真结果表明,与其它的盲信道估计算法相比,该算法不仅可以较准确地获得信道阶数,而且降低了信道估计的均方误差。     

MIMO-OFDM系统中信道盲估计与检测

针对MIMO-OFDM系统,提出了一种基于子空间的盲信道估计与检测方案,该算法将阵列信号处理的思想应用到MIMO-OFDM系统中,通过发送端信号的冗余编码,利用一种类ESPRIT算法进行盲信号检测和信道估计。仿真结果表明该算法的有效性及其信道盲估计方法的性能。     

一种循环保护前缀不足的OFDM信道估计算法

在正交频分复用（orthogonal frequency division multiplexing,OFDM）通信系统中,信道估计占有很重要的地位。论文提出了一种在OFDM信号循环保护前缀不足情况下也可应用的盲信道估计算法,它利用循环前缀信号结构采用子空间分解,计算简单。计算机仿真显示其有良好的性能。     

Totally blind APP channel estimation for mobile OFDM systems

A new two-dimensional blind channel estimation scheme for coherent detection of orthogonal frequency-division multiplexing (OFDM) signals in a mobile environment is presented. The channel estimation is based on the a posteriori probability (APP) calculation algorithm. The time-variant channel transfer function is completely recovered without phase ambiguity with no need for any pilot or reference symbols, thus maximizing the spectral efficiency of the underlying OFDM system. The phase ambiguity problem is solved by using a 4-QAM (quadrature amplitude modulation) scheme with asymmetrical arrangement. The results clearly indicate that totally blind channel estimation is possible for virtually any realistic time-variant mobile channel.     

Subspace-based blind and semi-blind channel estimation for OFDMsystems

This paper proposes a new blind channel estimation method for orthogonal frequency division multiplexing (OFDM) systems. The algorithm makes use of the redundancy introduced by the cyclic prefix to identify the channel based on a subspace approach. Thus, the proposed method does not require any modification of the transmitter and applies to most existing OFDM systems. Semi-blind procedures taking advantage of training data are also proposed. These can be training symbols or pilot tones, the latter being used for solving the intrinsic indetermination of blind channel estimation. Identifiability results are provided, showing that in the (theoretical) situation where channel zeros are located on subcarriers, the algorithm does not ensure uniqueness of the channel estimation, unless the full noise subspace is considered. Simulations comparing the proposed method with a decision-directed channel estimator finally illustrates the performance of the proposed algorithm     

Blind channel estimation for single‐input multiple‐output OFDM systems: zero padding based or cyclic prefix based?

Orthogonal frequency division multiplexing (OFDM) transmission equipped with multiple receive antennas constitutes a single‐input multiple‐output (SIMO) OFDM system. SIMO‐OFDM systems have been widely used in wireless communications. Compared to those approaches using training sequences, blind channel estimation methods for SIMO‐OFDM systems have the advantage of saving bandwidth and improving energy efficiency and system throughput. As far as blind channel identification is concerned, it is known that zero padding (ZP)‐based single‐input single‐output (SISO)‐OFDM systems have desirable features compared to conventional cyclic prefix (CP)‐based SISO‐OFDM systems. However, it is yet unknown whether ZP‐ or CP‐based SIMO‐OFDM systems are favourable for blind channel estimation. To investigate this problem, we first propose a short‐data effective method for blind channel estimation for ZP‐based SIMO‐OFDM systems. Then we analyse a number of issues surrounding blind channel estimation for ZP‐ and CP‐based SIMO‐OFDM systems. The issues brought up in the paper have not been discussed in the existing research. The significance of our investigation is that it provides a deep insight into blind channel estimation for ZP‐ and CP‐based SIMO‐OFDM systems. Copyright © 2011 John Wiley & Sons, Ltd.     

Data-efficient blind OFDM channel estimation using receiver diversity

We investigate non data-aided channel estimation for cyclically prefixed orthogonal frequency division multiplexing (OFDM) systems. By exploiting channel diversity using only two receive antennas, a blind deterministic algorithm is proposed. Identifiability conditions are derived that guarantee the perfect channel retrieval in the absence of noise. In the presence of noise, the proposed method has the desired property of being data efficient-only a single OFDM block is needed to achieve good estimation performance for a wide range of SNR values. The algorithm is also robust to input symbols as it does not have any restriction on the input symbols with regard to their constellation or their statistical properties. In addition, this diversity-based algorithm is computationally efficient, and its performance compares favorably to most existing blind algorithms.     

一种基于OFDM信号周期平稳特性的系统时延和频偏的盲估计算法

该文首先提出一种基于信号周期平稳特性的OFDM系统时延和频偏的盲估计算法,然后分析算法,获得一种可以估计非整数倍样点周期的时延和扩大频偏估计范围,实现整个OFDM系统带宽范围内的频偏估计的方法,并指出本算法可以在信道未知的情况下获得好的估计性能,最后给出相应的仿真结果。理论分析和仿真结果表明,本算法有很好的抗噪特性、强的变化信道适应性,与同类方法比较,具有更高的估计精度、估计非整数倍样点周期时延和扩大频偏估计范围的能力。     

OFDM系统中盲、半盲以及非盲信道估计方法的Cramér-Rao界

从OFDM信号系统的矩阵表示出发，推导了OFDM系统中盲、半盲以及非盲信道估计方法的CRB，其中，半盲信道估计的CRB是一般的表达式，经过外推可以得到盲信道估计和非盲信道估计的CRB。在推导盲信道估计的CRB时，证明了线性约束和二次约束两种情况下的CRB是一致的。针对OFDM系统的两种不同方案CP-OFDM和ZP-OFDM，分别进行了信道估计的性能仿真，验证了所推导CRB的正确性，并且利用CRB对一些信道估计方法进行了性能评价。