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.     

利用限幅器改善Rayleigh衰落信道中Turbo乘积编码PSAM系统的性能

该文研究了 Rayleigh衰落信道中 Turbo乘积编码辅助符号调制(TPC-PSAM)系统的性能并提出一种利用软信息限幅来改善的 TPC-PSAM性能的新方法,通过对不同的 Rayleigh衰落信道中 TPC-PSAM系统的性能仿真,结果表明在 10-4误比特率下,这种新方法对 TPC-PSAM的性能有5～8dB的改善。     

基于LS信道估计和分集接收的Turbo乘积编码OFDM系统的性能研究

该文研究OFDM系统中低复杂性最小二乘方(LS)信道估计技术,为了改善LS估计的OFDM在严重多径信道中错误平底效应,分集接收和Turbo乘积编码用于系统设计。数值仿真结果表明,Turbo乘积编码和分集接收可以减小LS估计的OFDM系统的错误平底效应,其性能比已知信道参数系统的性能只恶化4dB。     

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。     

基于空时Turbo网格码的MIMO-OFDM系统

提出了使用空时Turbo网格编码的MIMO-OFDM系统,分析了系统的性能,给出了衰落信道中的性能上界以及编码和分集增益表达式。通过仿真评估了空时Turbo网格码在慢衰落信道中的性能,与传统的STTC方法相比,该系统可以获得更好的分集增益和编码增益。     

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。     

无线衰落信道下的分集接收技术

在分析无线信道衰落特性的基础上,介绍了抵抗衰落的分集接收技术.空时编码技术有效地结合了发送分集、编码和调制技术,提高了衰落信道的传输性能.     

平坦Rayleigh衰落信道中基于多项式预测Turbo乘积编码MDPSK的研究

本文提出一种基于多项式预测的判决反馈差分检测(PP—DFDD)来改善平坦Rayleigh衰落信道中Turbo乘积编码多元DPSK系统(TPC—MDPSK)性能的新方法。相对于传统的判决反馈差分解调而言，该新方法无需任何先验的信道信息，而且计算量较小。数值仿真结果表明该新方法可以改善衰落信道中TPC—MDPSK系统的错误平底。     

基于Turbo协同分集的通信方案的性能仿真

本文基于Turbo码和协同通信的相关理论,提出一种新的基于Turbo协同分集的协同通信方案。在加性高斯白噪声和瑞利快衰落的两种信道条件下的仿真结果表明,基于Turbo协同分集的协同通信方案比现有的基于Turbo编码的协同通信方案具有更优的误比特率性能。     

高阶相位调制的调制分集

研究了高阶相位调制的调制分集,分析了调制分集对比特交织空时编码调制迭代译码(BI-STCM-ID)系统性能的影响,得到了引入调制分集后系统的解码比特度量的解析表达式。理论分析和仿真结果表明,调制分集改善了BI-STCM-ID系统在Rayleigh信道下的性能,同时,空时分集与调制分集的结合,对改善快衰落信道和慢衰落信道的性能具有相互补充的效果。     

码率自适应的多维Turbo乘积码系统设计

对多维Turbo乘积码在码率、码型、维数各不相同的情况下的性能进行了仿真研究,得出结论:在相同码率的前提下,选择性能优良的码型,增加码的维数,都可以提高码的性能;并在此基础上提出了一种新型的针对无线信道的码率自适应系统;仿真结果显示,在误码率为10-5时,该系统与固定码率系统相比,在信息传输速率上有明显的优势。     

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     

Combined turbo coding and unitary space-time modulation

Space-time coding is well understood for high data rate communications over wireless channels with perfect channel state information. On the other hand, channel coding for multiple transmit antennas when channel state information is unknown has only received limited attention. A new signaling scheme, named unitary space-time modulation, has been proposed for the latter case. In this paper, we consider the use of turbo coding together with unitary space-time modulation. We demonstrate that turbo coded space-time modulation systems are well suited to wireless communication systems when there is no channel state information, in the sense that the turbo coding improves the bit error rate (BER) performance of the system considerably. In particular, we observe that the turbo-coded system provides 10-15 dB coding gain at a BER of 10/sup -5/ compared to the unitary space-time modulation for various transmit and receive antenna diversity cases.     

Doubly iterative decoding of space-time turbo codes with a large number of antennas

We examine the performance of a reduced-complexity doubly iterative decoder for space-time turbo codes on a quasi-static fading channel. The decoder works by using preliminary soft values of the coded symbols, obtained after a limited number of turbo iterations, to reduce the spatial interference from the received signal. Then, new turbo iterations are performed to improve on the quality of the soft values, and so on. Using a number of approximations, we obtain a receiver interface that achieves a good tradeoff between performance and complexity, and allows the use of turbo space-time codes for a large number of transmit and receive antennas.     

协同通信系统中基于EM算法的半盲信道估计与迭代检测

研究协同通信系统的信道估计和符号检测技术,提出一种基于EM（Expectation Maximum）算法的半盲信道估计和迭代检测接收方案。它有利于减少协同通信系统的额外系统开销,并能有效提高协同通信的信道估计精度和系统误码性能。     

A Decoding Algorithm for Turbo Product Codes Using Optimality Test and Amplitude Clipping

This paper presents an iterative soft-input/soft-output (SISO) decoderfor product code using optimality test and amplitude clipping. A modifiedexpression for computing the soft-output of SISO decoder is proposed.The correlation discrepancy is employed to provide an optimality teston the decision codeword. The optimality test is performed in rowand column decoding to evaluate the reliability of row and columndecision codewords. Based on the optimality test, the variable reliabilityfactor is introduced for optimization of turbo decoding. A stoppingcriterion with very little performance degradation is also designedfor turbo decoding of product codes by using the optimality test.Besides, the amplitude clipping is employed to improve the performanceof turbo product code. Simulation results on the performance of theintroduced SISO decoder are presented.     

Application of Rate Compatible Punctured Turbo Coded Hybrid ARQ to MC‐CDMA Mobile Radio

MC‐CDMA, a multicarrier (MC) modulation scheme based on code division multiple access (CDMA), is the most likely candidate for the next generation of mobile radio communications. The rate compatible punctured turbo (RCPT) coded hybrid automatic repeat request (HARQ) has been found to give improved throughput performance in a direct sequence (DS) CDMA system. However, the extent to which the RCPT HARQ improves the throughput performance of an MC‐CDMA system has not been fully understood. In this paper, we apply the RCPT HARQ to MC‐CDMA and evaluate by computer simulations its performance in a frequency selective Rayleigh fading channel. We found that the performance of RCPT HARQ MC‐CDMA is almost insensitive to channel characteristics. The performance can be drastically improved with receive diversity combined with space‐time transmit diversity. In addition, the comparison of RCPT HARQ MC‐CDMA, orthogonal frequency division multiplexing, and DS‐CDMA shows that under similar conditions the throughput of MC‐CDMA is the best in a frequency selective fading channel.     

Application of neural network inverse control system in turbo decoding

Adaptive inverse control system can improve the performance of turbo decoding, and modeling turbo decoder is one of the most important technologies. A neural network model for the inverse model of turbo decoding is proposed in this paper. Compared with linear filter with its revision, the general relationship between the input and output of the inverse model of turbo decoding system can be established exactly by Nonlinear Auto-Regressive eXogeneous input （NARX） filter. Combined with linear inverse system, it has simpler structure and costs less computation, thus can satisfy the demand of real-time turbo decoding. Simulation results show that neural network inverse control system can improve the performance of turbo decoding further than other linear control system.