相关衰落信道Turbo乘积编码MDPSK的分集接收

由于无线衰落信道中差分检测Turbo乘积编码调制具有良好的性能,文中研究了相关平坦Rayleigh衰落信道中差分检测Turbo乘积编码MDPSK信号的等增益分集,这种等增益分集接收无需任何信道状态信息.研究结果表明,等增益合并可以改善快衰落信道中TPC-MDPSK的错误平底效应,等增益分集合并的Turbo乘积编码的MDPSK信号在相关系数为0.5的平坦Rayleigh衰落信道中的性能和独立衰落信道中的系统性能相差仅1 dB.     

两路接收分集Turbo乘积编码PSAM系统的研究

提出具有两路接收分集Turbo乘积编码引导符号辅助调制(TPC-PSAM）的16QAM系统的实现方法。该系统将Turbo乘积编码和分集接收用于改善16QAM系统在平坦衰落信道中的性能。通过对衰落信道中的数值仿真，结果表明具有接收分集的TPC-PSAM系统比TPC-PSAM系统明显的改善，同时可以减小接收机在不同衰落信道中的性能差异。     

一种改善Turbo乘积编码OFDM系统性能的新方法

本文提出一种利用对译码器软信息限幅来改善多径衰落信道中Turbo乘积编码OFDM(TPC-OFDM)系统性能的新方法。通过对不同多径衰落信道中QPSK映射和16QAM映射的TPC-OFDM系统性能的数值仿真，结果表明在10^-5误比特率下，这种新方法比传统的迭代译码大约有6～10dB的改进，对严重多径环境下TPC-OFDM系统的错误平底也有明显的改进。     

Turbo编码V-BLAST MIMO-OFDM系统中的联合迭代判决反馈信道估计与检测

针对Turbo编码V-BLAST MIMO—OFDM系统，提出了一种联合迭代判决反馈信道估计与检测方案，该方案将Turbo迭代译码与最小二乘（LS，least square）信道估计相结合，充分利用Turbo迭代译码后的信息位和校验位软值信息来改善信道估计性能。仿真结果表明，该方案不仅纠正了低信噪比时的差错传播问题，还使得整个系统的信道估计性能得到进一步提高，且适合于非常恶劣的信道环境。     

空时/频编码在OFDM系统中的应用

介绍了空时编码(STBC)和空频编码(SFBC)应用于OFDM系统,实现发射分集,并对基于梳状导频的LS(最小二乘)算法采用正交导频设计方案,把多天线信道估计转化为单天线信道估计,大大简化了运算。仿真结果表明,实现的空时和空频编码OFDM方案不仅误码性能良好,且具有系统实现复杂度低、接收机结构简单等优点。     

级联 Turbo-空时格码 OFDM 系统的性能分析

在研究传统的空时编码 OFDM 系统模型及误码率性能的基础上,提出了 Turbo 码级联空时格码的 OFDM 系统方案；并给出了该系统在无线瑞利衰落信道中的性能上界和误码率仿真结果,仿真结果表明：该系统能最大限度地利用所有的分集资源,获得相当大的分集增益和编码增益。     

在频率选择性信道中的差分空频编码

本文提出了频率选择性衰变信道中采用了差分空频编码的正交频分复用(OFDM)传输方法。根据信道长度,我们将每个天线OFDM帧中的输入数据分组,同一组中各天线上的数据编码组成为一个对角信号星座,沿频域方向独立的对每组信号实施差分编码。通过分析成对错误概率,我们证明了这种码潜在能提供的分集是发射天线数,接收天线数和信道长度的乘积,比差分空时码具有更大分集增益,因而具有更好的性能,这一分析结果也为我们的仿真实验证实了。     

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。     

发射分集OFDM系统中一种基于Turbo迭代的判决反馈信道估计

本文对频率选择性衰落信道条件下发射分集OFDM系统的信道估计进行了研究,提出了一种基于Turbo迭代的判决反馈信道估计方法.该方法充分利用Turbo迭代信息来改善信道估计性能,且因无需求逆运算,使得整个系统的复杂度增加不多.仿真结果表明,所提方法在较高信噪比条件下,明显提高了系统信道估计的性能,且适合于高速移动的信道环境.     

发射分集0FDM系统中基于离散导频的信道估计方法

OFDM技术、空时编码和分集技术的联合可以实现无线数据的高速可靠传输.传统的多天线系统中利用训练序列来实现信道估计.本文给出了一种采用空时编码的发射分集OFDM系统中基于离散导频的信道估计方法,它可以进一步提高系统效率.仿真结果证明该算法具有很好估计性能和鲁棒性.     

LOW COMPLEXITY LMMSE TURBO EQUALIZATION FOR COMBINED ERROR CONTROL CODED AND LINEARLY PRECODED OFDM

The turbo equalization approach is studied for Orthogonal Frequency Division Multiplexing （OFDM） system with combined error control coding and linear precoding. While previous literatures employed linear precodcr of small size for complexity reasons, this paper proposes to use a linear precoder of size larger than or equal to the maximum length of the equivalent discrete-time channel in order to achieve full frequency diversity and reduce complexities of the error control coder/decoder. Also a low complexity Linear Minimum Mean Square Error （LMMSE） turbo equalizer is derived for the receiver. Through simulation and performance analysis, it is shown that the performance of the proposed scheme over frequency selective fading channel reaches the matched filter bound; compared with the same coded OFDM without linear precoding, the proposed scheme shows an Signal-to-Noise Ratio （SNR） improvement of at least 6dB at a bit error rate of 10 6 over a multipath channel with exponential power delay profile. Convergence behavior of the proposed scheme with turbo equalization using various type of linear precoder/transformer, various interleaver size and error control coder of various constraint length is also investigated.     

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     

Performance Analysis of Tikhonov Regularized LS Channel Estimation for MIMO OFDM Systems with Virtual Carriers

In this paper the effect of virtual carriers (VCs) on channel estimation performance is considered for multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. The link between the number of VCs and the inverse problem in a conventional LS channel estimation is identified. It is observed that a linear increase in VCs contributes to an exponential increase of the system inverse problem as the condition number of the inverse matrix is exponentially increased. A solution is proposed using a low complexity modified LS channel estimation. The performance analysis of the modified LS channel estimation, regarding the effect of VCs, show gains in both the mean square error (MSE) performance of channel estimation as well as bit error rate (BER) system performance compared to conventional LS. The performance is improved irrespective of the increasing number of VCs as the estimator is shown to be insensitive to the increase of VCs in the OFDM system. The complexity reduction is also considered and an approach is proposed showing a similar complexity as LS.     

Simplified channel estimation for OFDM systems with multipletransmit antennas

Multiple transmit-and-receive antennas can be used in orthogonal frequency division multiplexing (OFDM) systems to improve communication quality and capacity. In this paper, we present two techniques to improve the performance and reduce the complexity of channel parameter estimation: optimum training-sequence design and simplified channel estimation. The optimal training sequences not only simplify the initial channel estimation, but also attain the best estimation performance. The simplified channel estimation significantly reduces the complexity of the channel estimation at the expense of a negligible performance degradation. The effectiveness of the new techniques is demonstrated through the simulation of an OFDM system with two-transmit and two-receive antennas. The space-time coding with 240 information bits per codeword is used for transmit diversity. From the simulation, the required signal-to-noise ratio is only about 9 dB for a 10% word error rate for a channel with the typical urban- or hilly-terrain delay profile and a 40-Hz Doppler frequency     

Turbo-Coded OFDM Transmission Over a Nonlinear Channel

In this paper, deliberate level clipping and turbo coding are combined to achieve an orthogonal frequency division multiplexing (OFDM) transmission system with a low peak-to-average power ratio (PAR) and a good performance. Using the linear approximation technique based on the minimum mean square error (MMSE) criterion, we first modify the metric computation for the turbo decoding in order to consider the distortion effects of the nonlinearity, caused by the Cartesian clipper. Also, this paper introduces a modified turbo decoder which simultaneously performs the data estimation and signal reconstruction. In other words, the turbo decoder iteratively recovers the clipped signal by using the estimated data, and then improves the data estimation by using the newly recovered signal. Numerical results are presented showing an improvement in the performance of the OFDM transmission system over the nonlinear channel, an increase in the efficiency of the high power amplifier (HPA), and/or an expansion of the transmitter coverage area.     

无人机高速遥测信道中OFDM峰均比抑制性能研究

OFDM是无人机高速遥测信道中的主要传输技术之一,但是OFDM系统的主要缺陷之一是具有较高的峰均比。文中研究了一种信道纠错编码与迭代限幅滤波算法（Repeated Clipping and Filtering,RCF）相结合的峰均比抑制方案。仿真结果表明,RCF算法能够实现峰均比的有效抑制,卷积编码和Turbo编码能够有效抑制RCF算法产生的限幅噪声,降低系统误码率。     

OFDM系统中低复杂度联合译码和信道估计方法研究

本文针对OFDM(Orthogonal Frequency Division Multiplexing)系统提出了一种低复杂度联合译码和信道估计算法的接收机。接收机首先通过导频对信道进行估计，然后使用Turbo码译码输出判决信息对信道参数进行稳健的估计。仿真结果表明，即使系统误码率大于10^-2，经过3次迭代估计，系统性能提高仍有0．5-1dB；在高信噪比下，可显著地降低系统的误码底限。本文同时还给出了译码迭代次数对系统性能的影响。     

OFDM-MIMO系统中发射分集和信道估计技术研究

文章研究了OFDM-MIMO系统中的循环延迟分集（CDD）,以及基于Alamouti的空时分组编码（STBC）与空频分组编码（SFBC）,针对发射分集方案所必须知道的信道信息,对两种信道估计方法,即最小二乘（LS）＋线性插值与最小均方误差（MMSE）插值进行了研究。通过链路仿真还给出了以上分集方案在不同信道条件下的性能曲线,此外,对两种信道估计方法的误帧率做了统计。结果表明,CDD结合信道编译码可获得分集增益,有效对抗无线信道的衰落性。STBC,SFBC在不需要外码的情况下便可获得较大分集增益,且分别适用于频率选择性衰落与时间选择性衰落信道。而MMSE估计可以获得较为理想的误帧率,为分集方案提供较准确的信道参数以提高系统的可靠性。     

基于差分编码的OFDM系统ICI消除方法的研究

在高速移动通信环境下,OFDM 系统在传输过程中出现的多普勒频移和收发两端本地振荡器之间的频率偏差,形成子载波间干扰(ICI)并造成系统性能降低。该文在分析子载波间干扰机制的基础上,从信道估计的角度提出了一种高效的ICI自消除差分编码方案。该方案提高了传统ICI自消除方案频谱利用率。仿真表明,在系统归一化频率偏差大于0.1时,该方案具有4 的信道估计增益,消除了因ICI带来的地板效应。