循环前缀块传输系统中的一种MIMO盲信道估计算法

信道估计一直是无线通信领域的研究热点之一,信道参数估计的好坏对系统的整体性能有着至关重要的影响。针对采用循环前缀的多输入多输出(MIMO-CP)系统,本文提出了一种基于子空间的盲信道估计方法,该算法利用了循环前缀所引起的冗余信息。基于子空间的盲信道估计算法都是通过对接收块的自相关矩阵进行奇异值分解(SVD)来实现信道估计的,因此需要利用尽可能多的接收块来得到准确的自相关矩阵的估计值,这就意味着会产生过久的判决延迟以及不能准确对快变信道进行跟踪。利用MIMO-CP系统中系统矩阵特有的块循环特性,对于连续的两个接收数据块以及对应的循环前缀部分组成的向量,可以重新构造一组新的向量而不改变系统的信道矩阵,因此可以通过较少的接收块来得到准确的自相关矩阵的估计值,该方法十分适用于对快变信道的盲估计。文章通过仿真分析了在不同的重复系数以及不同的接收块下该算法的性能并且比较了该算法与现有的“预编码”、“虚拟子载波”等盲信道估计算法的性能。仿真结果表明,提出的算法利用较少的数据块个数就得到了一个可靠的信道估计值和很好的误码率性能。      

使用接收分集的确定性OFDM盲信道估计算法

本文针对无循环前缀的OFDM系统研究了非数据辅助的信道估计方法.借助于2个接收天线实现的信道分集,提出了一个确定性信道盲估计算法,并给出了信道可辨识性条件.该算法使用1个OFDM块便可在一个标量模糊因子的意义上确定信道冲激响应.算法计算量小,而且对输入信号的星座和统计特性没有约束.仿真结果证实了算法的有效性.     

基于迭代的FH-OFDM小数倍频偏估计算法

为了提高跳频正交频分复用（FH—OFDM）系统载波同步估计精度,提出了一种使用信道估计结果辅助,3次迭代的载波和定时估计算法。通过对接收信道噪声的估计确定门限逻辑,实现了高精度小数倍频偏估计。仿真结果表明,20dB信噪比时,在高斯白噪声下,新算法的估计精度高于基于循环前缀的算法10倍;在多径信道下,新算法的估计精度高于基于循环前缀的算法100倍;实验表明,使用该算法接收机性能优于基于循环前缀的算法。实验结果表明,该算法星座收敛较好。     

基于信道缩短的多频带超宽带信道估计

针对多频带超宽带系统,提出了一种基于信道缩短的信道估计方法.利用循环前缀(CP)结构,在接收机前端设计信道缩短均衡器,解决了循环前缀长度小于信道最大多径延迟时难于估计信道参数的问题.根据均衡器输出序列估计出复合信道,通过反卷积解出原信道参数.计算仿真表明该算法具有良好性能.     

一种基于信道缩短的MB-OFDM UWB稀疏信道估计算法

在MB-OFDMUWB系统中,利用UWB信道的稀疏簇特性,提出一种基于信道缩短的MB-UWB稀疏信道估计算法。首先利用信道缩短滤波器来消除由于循环前缀长度不足造成信道间干扰和码间干扰,然后基于信道缩短后的接收信号,利用UWB信道的稀疏性,探测出非零值抽头的位置,避免了无谓的零值抽头估计,改善了算法的性能。仿真结果表明:当循环前缀CP长度小于信道长度时,LS算法和DFT算法逐渐失效,而新算法可以获得较好的估计性能。     

双循环相关复倒谱的多用户盲信道辨识方法

该文针对多用户系统提出了一种新颖的盲辨识方法.它利用了调制引入的循环平稳性,可以识别出不同的用户不同的传感器(天线)各自的传输信道.利用循环复倒谱的方法可以给出信道的估计,方法简单明了,与现有的方法相比有一定的优势,适合于多用户上行链路信道.文中还给出了信道可辨识性的条件和证明,提出了辨识算法,并对算法进行了模拟.     

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。     

利用补零信息的单载波块传输盲信道估计方法

该文提出了一种针对单载波块传输(SCBT)系统的信道估计方法.该方法利用单载波块传输系统中的补零(ZP)信息,在频域实现了频率选择性信道基于子空间的盲估计.文中同时给出了所提方法的辨识条件.该方法性能优于过采样信道估计方法,且对信道阶数过估计不敏感.计算机仿真和分析验证了所提方法的有效性.     

OFDM系统的两种频率跟踪算法的性能比较

本文分析了残余频偏对OFDM系统性能的影响,针对OFDM系统中常见的两种频率跟踪算法,比较了它们在加性高斯白噪声信道、SUI- 2和SUI- 5信道环境下的性能。仿真表明,采用计算相位旋转的频率跟踪算法比基于循环前缀的频率跟踪算法的估计精度高。在信道最大多径时延较循环前缀长度小时,两种算法对系统性能影响均较小;在信道最大多径时延接近循环前缀长度时,基于循环前缀的频率跟踪算法的估计误差的标准偏差通常超过子载波间隔的1 %,系统会有明显的信噪比损失     

基于DFT的OFDM系统信道估计改进算法

基于DFT的信道估计算法计算复杂度比MMSE算法低,性能比LS算法好.但是传统的基于DFT的信道估计只消除了信道冲击响应估计中循环前缀长度之外的噪声,循环前缀长度内的噪声并没有得到抑制,因此算法性能还有提高的空间.本文提出了一种改进的基于DFT的信道估计算法.算法首先估计出噪声方差,然后利用噪声方差设定一个门限,通过此门限对循环前缀内的信道时域冲击响应值进行阈值,进一步消除噪声的干扰.仿真证明,本文的改进信道估计算法性能优于原算法.     

(Semi-)blind channel estimation for space time block coded system with transmit diversity

This paper deals with a blind channel estimation method for space-time coded block transmission system. By concatenating the real part and imaginary part of the received signal to form an elongated vector, we derive an equivalent input–output system model. Then channel state information (CSI) is blindly estimated using subspace method, utilizing only the redundancy inherent in space-time block coding (STBC) and cyclic prefix (CP). The estimation ambiguity, which is common to all blind methods, is analyzed in detail and we prove that there only exist four scalar indeterminacies. Three effective methods to eliminate the ambiguities are also proposed. Compared with other blind channel estimation methods for space time systems, this method needs neither redundant precoding nor oversampling, and thus has higher data rate. Besides, this method is robust to channel order overestimation, which is effectively demonstrated by numerical simulations. This work was supported by NSFC (60496310, 60672093), NSFJS(BK2005061) and BK2005061.     

Iterative Estimation and Equalization for SCCP Over Doubly Selective Channels

In time varying channels, symbol recovery for single carrier cyclic prefix (SCCP) systems becomes complicated, because the orthogonality of channel frequency response (CFR) matrix is destroyed. In response, we propose a block turbo equalization algorithm in the time domain for SCCP to cope with channel time variations. In particular, the band structure of the channel time response (CTR) matrix is exploited to reduce the computational complexity of matrix inversion. In order to use this equalization scheme, accurate channel state information (CSI) must be available. Accordingly, we present a doubly selective channel estimation method for SCCP block transmissions with the aid of a Karhunen-Loeve basis expansion model (KL-BEM). In this method, the channel estimates are firstly obtained by using the cyclic prefix (CP) of each block, and then further refined by employing an expectation maximization (EM) based iterative algorithm. Combining the iterative estimator with the proposed equalizer naturally results in a doubly iterative receiver, the performance of which is shown to come close to the performance with perfect CSI.     

Iterative Overlap QRM-ML Block Detection for Single-Carrier MIMO Transmission Without CP Insertion

QR decomposition and M-algorithm based near maximum likelihood block detection (QRM-MLBD) significantly improves the single-carrier (SC) multiple-input multiple-output (SC-MIMO) transmission performance in a frequency-selective fading channel. In the conventional QRM-MLBD, the cyclic prefix (CP) is inserted in order to avoid the inter-block interference (IBI). However, CP insertion reduces the transmission efficiency. In this paper, an iterative overlap QRM-MLBD is proposed for SC-MIMO transmission with no CP insertion. It is confirmed by computer simulation that the iterative overlap QRM-MLBD with no CP insertion provides improved throughput performance while reducing the computational complexity over the conventional QRM-MLBD with CP insertion.     

Receiver Design for Single-Carrier Block Transmission Over Doubly Selective Channels

Single-carrier block transmission is an alternative scheme to orthogonal frequency-division multiplexing (OFDM) for wireless broadband communications. In this paper, a receiver is designed for single-carrier block transmission with cyclic prefix for mobile broadband communications. As the wireless transmission is over doubly selective channels, a basis expansion model is used to capture both the time- and frequency-selectivity of the channel and is parameterized for the receiver design. The receiver estimates the channel model coefficients in the time domain and uses these coefficients for equalization in the frequency domain. The channel estimation is assisted by time-domain pilot insertion. The structure of the frequency-domain channel matrix is exploited and a linear minimum mean-square error equalizer is used for the equalization. When the basis expansion model well matches the physical channel, simulation results show superior receiving performance of the proposed system compared with the OFDM system with a similar complexity.     

Subspace-based blind channel estimation for OFDM by exploiting virtual carriers

Reliable channel estimation is indispensable for orthogonal frequency-division multiplexing (OFDM) systems employing coherent detection and adaptive loading in order to achieve high data rate communications. Several options exist in practical OFDM systems-including training symbols, cyclic prefix, virtual carriers, pilot tones, and receiver diversity-to facilitate channel estimation. In this paper, a subspace blind channel estimation method based on exploiting the presence of virtual carriers is proposed for OFDM systems over a time-dispersive channel. The method can be applied to conventional OFDM systems with cyclic prefix as well as OFDM systems with no cyclic prefix. The reduction/elimination of cyclic prefix thereby provides the OFDM systems the potential to achieve higher channel utilization than most previously reported cyclic prefix based estimators. Sufficient channel identifiability condition is developed as well. Comparison with two other recently reported subspace methods is presented via computer simulations to support the effectiveness of the proposed method.     

无保护间隔的OFDM信道自适应均衡的一种新算法

近年来作为一种特殊的多载波调制方式——正交频分复用(OFDM)已得到越来越多的人的关注.对于传统的OFDM系统来说,如果循环前缀的长度大于信道的时延扩散值,则可以通过简单的频域均衡来解调OFDM信号.可是循环前缀的使用却降低了系统的传输效率,如果能压缩甚至去掉循环前缀,而保持系统性能不变,则是很有意义的,为此本文给出了一种新的均衡结构,利用循环迭代手段以减少甚至去掉循环前缀,最后通过计算机模拟,证实了这种结构的有效性.     

FSO-WOFDM系统的实验研究

在无线光正交频分复用（FSO-OFDM）系统中,因需要加入循环前缀而消耗近20%的带宽,降低了数据传输效率。为了进一步减少带宽损耗,改善系统性能,采用小波包变换代替FSO-OFDM中的傅里叶变换,设计了一种基于小波变换的无线光正交频分复用（FSO-WOFDM）系统。该系统无需加入循环前缀,利用小波基函数的正交性来抑制子载波间的干扰。根据FSO-WOFDM系统原理,研究了信道估计方法、湍流强度、小波基对FSO-WOFDM系统误码率的影响,对比分析了FSO-WOFDM与FSO-OFDM的系统性能,并通过实验验证了FSO-WOFDM系统的可行性及其优良的抗混合噪声干扰能力。     

Optimal ISI-free DMT transceivers for distorted channels withcolored noise

The design of optimal DMT transceivers for distorted channel with colored noise has been of great interest. Of particular interest is the class of block based DMT, where the transmitter and the receiver consist of constant matrices. Two types of block- based DMT transceivers are considered: the DMT system with zero padding (ZP-DMT) and the DMT system with general prefix (GP-DMT). We derive the bit allocation formula. For a given channel and channel noise spectrum, we design the ISI-free optimal transceiver that minimizes the transmission power for a given transmission rate and probability of error. For both ZP-DMT and GP-DMT systems, the optimal ISI-free transceiver can be given in closed from. We will see that for both classes, the optimal transceiver has an orthogonal transmitter. Simulation shows that the optimal DMT system can achieve the same transmission rate and the same probability of error with a much lower transmission power compared with other existing DMT systems     

一种基于P2P协作的代理缓存流媒体调度算法

该文根据流媒体系统中缓存空间不足及服务延迟的问题,提出一种基于P2P协作的代理缓存流媒体调度算法PCSPC(Proxy-Caching Scheduler based on P2P Cooperation)。首先按照流行度高的数据占用较大存储空间的原则,利用媒体文件的存储效率为每个前缀分配相应的存储空间。然后按传输成本将前缀降序排列,代理服务器升序排列,将前缀依次分配到代理服务器上,并且通过理论证明该方法能够有效地减少传输成本。PCSPC算法能够兼顾存储效率与传输成本。仿真实例说明了算法的有效性。