BPSK/QPSK调制方式下的STC-OFDM系统性能

对STC-OFDM系统模型进行了详细介绍,分析了系统在BPSK和QPSK调制方式下的误码率性能,并与OFDM系统进行比较。仿真结果表明,将空时编码技术和OFDM系统结合在一起,可以进一步提高系统性能。此外,对于OFDM系统,BPSK和QPSK调制的误码率性能是一样的,但在STC-OFDM系统中,BPSK调制的误码率性能明显优于QPSK。     

IEEE 802．16a协议物理层ST-OFDM的研究

介绍了IEEE 802．16a协议，并以802．16a协议中的3种物理层实现方式之一——wirelessMAN—OFDMPHY为例，对STC(空时编码)和0FDM(正交频分复用)的结合应用(STC-OFDM)进行了阐述．同时对其BER(误比特率)性能进行了仿真，对仿真结果进行了分析。     

STC-OFDM系统中基于扩展贝叶斯滤波的鲁棒共信道干扰抑制算法研究

空时编码正交频分复用(STC-OFDM)系统易受共信道干扰(CCI)影响,利用波束成形可以抑制共信道干扰的影响。然而,目前存在的一些方法都是基于期望信号波达方向(DOA)的精确估计的。实际上,当期望信号的波达方向存在误差时,这些波束成形器的性能将明显下降。为此,该文提出了基于扩展贝叶斯滤波的鲁棒波束成形算法来提高当期望信号的波达方向存在误差时的系统性能。在这一算法中,每一个期望信号的波达方向被看成一个由若干离散样点组成的随机变量。利用贝叶斯公式对这些样点的后验概率进行估计,当有样点的后验概率低于一定的门限值时,对这些样点进行重采样,使有效样点的数目保持恒定。最后,波束成形器的最优权值由这些样点的后验概率加权获取。仿真结果表明,该文算法对抑制多径信道中STC-OFDM系统的共信道干扰具有很强的鲁棒性。     

空时编码在OFDM系统中的应用

研究了空时分层码（LSTC）、空时分组码（STBC）和空时网格码（STTC）3种典型的空时编码技术。讨论了各自的编码原理和译码原理。以空时分组码为重点,介绍了OFDM系统的基本原理,将空时分组码和OFDM技术相结合,对STBC-OFDM系统的基本模型加以探讨,理论分析系统接收端的信噪比性能,通过M atlab仿真对收发...     

MIMO-OFDM系统中的空频编码技术的研究

基于多输入多输出（MIMO）的空时编码技术可以充分利用无线通信信道中的多径,从而降低误码率、提高系统的可靠性。本文在空时编码技术的基础上,基于OFDM（正交频分复用）系统提出了一种空频分组码的编码改进方案。经仿真证明：编码后的系统相对于STBC-OFDM（空时分组编码）系统的性能更优越,提高了系统的可靠性。     

基于有限字符特性的空时OFDM系统决策反馈信道估计

该文提出了一种适用于空时编码正交频分复用(STC-OFDM)系统盲信道估计算法,利用信号的字符有限特性获取粗信道估计,进而利用映射星座先验知识,采用决策反馈方法得到信道精估计。充分利用了信号的先验知识,以较高的计算复杂度为代价,提高了盲信道估计精度,因此能较好地适用于具有慢时变频率选择性较强的信道,且子载波数不大的系统。与基于子空间盲信道估计算法比较验证了该算法性能。     

基于MIMO系统的准正交空时分组码的容量分析

应用于MIMO系统的准正交空时分组码可以获得较大的容量,同时能够提供较低的误码率。文中比较了MIMO系统的准正交空时分组码的容量与SIMO系统的容量。结果显示,在低SNR和接收天线数少的情况下,应用于MIMO系统的准正交空时分组码会产生较大的容量增益,但随着SNR和天线数目的增加,容量增益越来越不明显。另外,文中比较了MIMO系统中准正交空时分组码和正交空时分组码的容量,仿真结果表明前者的容量明显高于后者。     

空时码概述

在第三代移动通信系统中,空时编码(space-time coding)技术是抗信道衰落和提高系统容量的一种新的编码方式.本文介绍了空时编码技术的由来和分类,并着重介绍了空时分组码的基本编解码算法.最后在SPW下对2发1收的正交空时分组码的编解码算法进行了仿真并给出了仿真结果.     

准正交空时编码的MMSE检测

多天线系统中发射端采用准正交空时编码(QOSTC)时,与正交空时编码(OSTC)相比,虽然前者可达到全速率传输,但接收端须采用比较复杂的最大似然(ML)检测.本文提出QOSTC的MMSE检测方法,不需要作矩阵求逆运算,因而比BLAST系统的MMSE检测简单,仿真结果表明该检测方法性能及复杂度介于ZF检测和ML检测之间.     

空时Turbo网格码的MIMO-OFDM系统性能研究

分析了OFDM基本原理并构建了MIMO-OFDM系统的模型,接着阐述了空时编码技术在OFDM中的应用,提出了在OFDM系统中采用空时Turbo网格编码的方案,详细分析了ST Turbo TC编码器和译码器原理,最后对系统进行了仿真,并分析了仿真结果。系统仿真结果表明采用Turbo网格编码的系统性能优于采用一般空时编码的MIMO-OFDM系统。     

LDPC-based space-time coded OFDM systems over correlated fadingchannels: Performance analysis and receiver design

We consider a space-time coded (STC) orthogonal frequency-division multiplexing (OFDM) system with multiple transmitter and receiver antennas over correlated frequency- and time-selective fading channels. It is shown that the product of the time-selectivity order and the frequency-selectivity order is a key parameter to characterize the outage capacity of the correlated fading channel. It is also observed that STCs with large effective lengths and ideal built-in interleavers are more effective in exploiting the natural diversity in multiple-antenna correlated fading channels. We then propose a low-density parity-check (LDPC)-code-based STC-OFDM system. Compared with the conventional space-time trellis code (STTC), the LDPC-based STC can significantly improve the system performance by exploiting both the spatial diversity and the selective-fading diversity in wireless channels. Compared with the previously proposed turbo-code-based STC scheme, LDPC-based STC exhibits lower receiver complexity and more flexible scalability. We also consider receiver design for LDPC-based STC-OFDM systems in unknown fast fading channels and propose a novel turbo receiver employing a maximum a posteriori expectation-maximization (MAP-EM) demodulator and a soft LDPC decoder, which can significantly reduce the error floor in fast fading channels with a modest computational complexity. With such a turbo receiver, the proposed LDPC-based STC-OFDM system is a promising solution to highly efficient data transmission over selective-fading mobile wireless channels     

采用空时编码的OFDM系统性能分析

这里介绍了文献犤2犦中的系统模型,通过采用码字对错误率(PEP)进行性能分析,显示了该系统能充分利用分集资源,包括发射分集、接收分集和频选信道的阶数。与传统的OFDM系统相比,该系统能很大地改善性能。     

Simplified Semi-Blind Channel Estimation for Space–Time Coded MIMO-OFDM Systems

The combination of Space–Time Coded Multiple Input Multiple Output systems (STC-MIMO) with Orthogonal Frequency Division Multiplexing (OFDM) is recently being investigated as an effective means of providing high-speed data transmission over dispersive wireless channels. The strengths of the two techniques coalesce and render MIMO-OFDM systems robust to ISI and IBI. However, the decoding and demodulation of STC-OFDM needs reliable channel knowledge at the receiver, unless differential modulation techniques are used. Semi-blind methods for channel estimation are seen to provide the best trade-off in terms of bandwidth overhead, computational complexity and latency. The conventional Expectation-Maximization (EM) algorithm for semi-blind channel estimation improves a pilot-based estimate with a two step process; however, it is computationally complex to implement. In this paper, we propose a variant of the EM method, referred to as ML-EM, for semi-blind estimation of doubly dispersive channels in space–time coded MIMO-OFDM systems. Here, the conventional EM algorithm is coupled with the ML decoder for space time block codes (STBCs). The technique shows good performance, even in highly correlated antenna arrays, and is computationally simpler than conventional EM. The method incurs a training overhead of less than 1%, and performs close to exact CSI through iterative processing at the receiver.     

Semiblind channel estimation and equalization for MIMO space-time coded OFDM

Based on the special features of space-time coding (STC) and orthogonal frequency-division multiplexing (OFDM), it is mathematically proved that all channel responses of a multiple-input-multiple-output STC-OFDM system can be identified blindly subject to two ambiguity matrices with a subspace-based method. A method is then presented to resolve the two ambiguity matrices by using few pilot symbols. With the estimated channels, a frequency domain approach is presented to recover the transmitted symbols. The presented semiblind algorithms are valid even if the channel transfer functions are not coprime and do not require precise channel order information (only an upper bound for the orders is required).     

新型IP网络存储器性能比较

用实验方法比较NFS、iSCSI(存储设备)、基于iSCSI协议的OSD网络(OSDN)和CAS网络(CASN)的性能,并分析它们的性能瓶颈和优化方向.实验表明,它们的性能是接近的,不同存储操作的性能是不同的:iSCSI的读操作和CASN的写操作性能显著优于其他系统;CASN相对于OSDN的读写操作性能优势随数据传送长度增加而减小.     

ATR系统性能评估问题的分析

目标自动识别(ATR)系统和算法的评估工作是ATR系统发展过程中最重要也是最基础的阶段之一.为此,提出了从代价、操作条件、性能这3个方面分析ATR系统性能评估问题,并详细介绍了这3个方面的相互关系、含义及主要内容,对于ATR系统的评估方法的研究有一定的指导意义.