基于卷积神经网络自编码器结构的空时分组传输方案

为提高现有端到端通信系统的泛化能力和可靠性,提出了一种基于卷积神经网络的空时分组码（Space-Time Block Coding,STBC）多输入多输出通信系统物理层方案。该方案将通信系统物理层表述、调制和解调过程联合起来形成端到端自编码器系统,引入多层一维卷积层,分别构建发射机和接收机,并扩展为多天线模式。为进一步提高系统可靠性,合理规划网络结构和参数,联合信号的调制和编码方案,优化了系统模型。仿真实验表明,针对瑞利相关衰落下多输入多输出（Multiple-Input Multiple-Output,MIMO）信道应用场景,训练模型可以实现传统STBC系统的误码性能,两发两收系统在发送端相关系数为0和0.9时分别优于传统系统0.5 dB和1 dB。此外,经过优化后的系统可获得采用卷积编码的性能改善效果,其两发两收不同工作方式优于传统1/2码率卷积编码STBC系统1~3 dB。     

一种改进的CNN端到端自编码器通信系统

针对现有端到端神经网络通信系统的泛化能力改进及自编码器优化等问题,提出了一种基于卷积神经网络(Convolutional Neural Network,CNN)的端到端通信系统改进方案。该方案在自编码器结构中引入一维卷积层(Conv1D),通过对参数的重新设计,优化了网络性能。发送端采用多层Conv1D对输入序列进行特征提取,通过训练获得发送信号的最佳调制和编码方案;接收端同样采用多层Conv1D,来恢复受到噪声污染的符号。仿真实验表明,在不同输入比特长度及编码速率条件下,所提系统表现出了良好的泛化能力。并且,在加性高斯白噪声信道和瑞利衰落信道下,训练模型的误码性能与传统的调制方式性能相吻合,验证了系统方案的可行性和有效性。此外,对于数字传输常见的突发信道,所提方案具有良好的适应性,可获得1 dB左右误码性能的改善。     

基于复杂系统自组织MIMO无线传输分集和编码技术研究现状及其技术路线

空间分集与编码调制技术相结合的空时编码技术,可以获得分集和编码增益,具有优异的抗衰落性能。传统空时编码和多输入多输出(MIMO)技术是通过多天线来实现空间分集的,但是由于移动台的尺寸和载频的限制,使多天线技术很难实现。基于复杂系统自组织MIMO无线传输分集和编码技术成为解决这一问题的可选方案,并且无需通过信道反馈信息,动态分配资源,提高了端到端的通信服务质量(QoS)和信道容量。     

基于独立AOA和AOD的宽带MIMO信道建模及仿真

基于发射端离开角(AOD)与接收端到达角(AOA)相互独立下,提出了一种宽带MIMO信道参考模型,并分析了该模型的空-时-频相关特性。在参考模型的基础上,利用确定性仿真方法结合P阶范数参数计算方法获得确定性仿真模型及其框图实现。结果表明:参考模型与仿真模型具有十分接近的空-时-频相关特性。形成的信道仿真器不仅可用于研究宽带MIMO系统的空时编码方案以及空时接收机的设计,也可用于分析MIMO信道的容量。     

一种基于平衡性空时增益的空时编码方案在盲多用户检测中的应用

在MIMO系统的盲多用户检测技术中,信道估计是一个非常重要的步骤.现有的信道估计算法大多需要非常复杂的实现方式和巨大的计算量.本文在一篇已有文献的基础上给出了一种广义的空时编码设计方案,该方案除了拥有实现简单、计算量小等优点之外,还具有统计意义上的平衡性空时增益,这是原文献的算法所不具备的.除此之外,本文还从理论上给出了广义空时编码方案的最优化设计准则.在信道估计完成之后,再继续进行盲多用户检测.仿真结果显示,本文提出的最优化设计编码方案比起原先的方案具有更低的信号检测误码率和性能相当的信道估计误差,而算法复杂度则不变.     

MIMO系统中的分组全分集全码率空时编码

针对未编码的多输入多输出（MIMO，Multi—Input Multi—Output）系统，提出一种复杂度适中的分组全分集全码率（GFDFR，Group—wise Full Diversity Full Rate）空时编码方案。该方案通过在发送端进行天线分组，各组独立编码，减小全分集全码率（FDFR，Full Diversity Full Rate）编码块的大小从而降低系统编解码复杂度；在频率选择性信道中，进一步对子载波分组进行独立编码，获得频率分集（或多径分集），以适中的复杂度在不降低系统分集度的情况下保证了信息的全码率传输，是一种在MIMO信道中极具实用价值的空时编码方案。     

一种空间相关MIMO信道下的空时预编码方案

在实际的多输入多输出（MIMO：Muhiple Input Multiple Output）移动通信系统中，信道的空间相关性通常会使得现有的空时编码方案难以获得最佳的误码性能。为了解决该问题，本文提出了一种适用于MIMO空间相关信道的空时预编码方案。该方案在完成对发射信号的空时编码后，针对发射天线的空间相关矩阵设计了合理的预编码矩阵，进而能够在保证分集增益的前提下克服相关信道的不利影响。仿真结果证实，该方案能够在一定程度上有效提高整个系统的误码性能。     

基于IEEE802．16a MIMO-OFDM系统的信道估计方法研究

多天线运用到802．16a系统中可以提高系统的性能。首先给出MIMO-OFDM(Multi-input and Multi-output-Orthogonal Frequency Division Multiplexing)系统的基本构成，然后对协议中的空时编码方案进行改进，提出将协议中所提出的单接收机两天线发送分集的情况扩展到多发多收的情况，最后介绍了适合MIMO—OFDM系统LS信道估计的帧头结构和导频结构，在一个OFDM符号时间内即可估计出MIMO各个子信道参数；对SUI-3信道下的误比特率(BER)及均方误差(MSE)性能分别进行了仿真，比较分析了结果，并得出结论。     

MIMO系统中一种子空间追踪的盲空时多用户检测方法

文章提出在空时分组编码的MIMO系统中利用OPAST这种子空问追踪算法进行盲空时多用户检测.仿真结果表明,这种子空间追踪算法可以联合实现平坦瑞利衰落信道估计和空时多用户检测.针对不同的空时分组编码的MIMO通信系统模型,这种盲自适应空时多用户检测方法可以抵抗严重的远近效应和抑制多址干扰,并具有很好的动态跟踪能力.     

MIMO高速数据传输技术及其与OFDM技术的结合

MIMO(Multiple-input multiple-output)多输入多输出技术是新一代移动通信系统的关键技术。而MIMO与OFDM技术的结合是其中研究的热点。本文首先讨论了MIMO通信系统的结构和基本工作原理，同时还介绍了MIMO空时编码方案的三种方式。然后给出了应用于无线局域网中的MIMO OFDM传输系统的实现方案，并分析了其工作机理。     

MIMO iterative receiver SNR estimation strategies for link to system interfacing

This paper presents link to system (L2S) interfacing technique for multiple input and multiple output (MIMO) iterative receivers. In L2S interfacing, usually the post detection signal to noise ratio (SNR)‐based frame error rate lookup tables (LUT) are used to predict the link level performance of receivers. While L2S interfacing for linear MIMO receivers can be conveniently implemented, it is more challenging for MIMO iterative receivers due to unavailability of the closed form SNR expressions. In this paper, we propose three methods for post detection SNR estimation for MIMO iterative receivers. The first is based on the QR decomposition of the channel matrix, the second relies on the residual noise calculation based on the soft symbols, and the third exploits the closed form SNR expressions for linear receivers. A link to system interface model for iterative receivers is developed for evaluating the reference curves for different modulation and coding schemes, and results are validated by comparing the simulated and predicted frame error rates. It is shown that linear and residual noise‐based SNR approximations result in a very good prediction performance whereas the performance of QR decomposition‐based method degrades for higher order modulations and coding schemes. This paper presents link to system interfacing technique for MIMO iterative receivers. A link to system interface model for iterative receivers is developed for evaluating the reference curves for different modulation and coding schemes, and results are validated by comparing the simulated and predicted frame error rates. Three post detection SNR evaluation schemes have been proposed for link to system interfacing all of which give good prediction performance especially at lower order modulation.     

Progressive image transmission over space-time coded OFDM-based MIMO systems with adaptive modulation

This paper considers a progressive image transmission system over wireless channels by combining joint source-channel coding (JSCC), space-time coding, and orthogonal frequency division multiplexing (OFDM). The BER performance of the space-time coded OFDM-based MIMO system based on a newly built broadband MIMO fading model is first evaluated by assuming perfect channel state information at the receiver for coherent detection. Then, for a given average SNR (hence, BER), a fast local search algorithm is applied to optimize the unequal error protection design in JSCC, subjected to fixed total transmitted energy for various constellation sizes. This design allows the measurement of the expected reconstructed image quality. With this end-to-end system performance evaluation, an adaptive modulation scheme is proposed to pick the constellation size that offers the best reconstructed image quality for each average SNR. Simulation results of practical image transmissions confirm the effectiveness of our proposed adaptive modulation scheme.     

Matrix Coded Modulation: A New Non-coherent MIMO Scheme

This paper describes a new space-time coding scheme for non-coherent multi-antenna multi-input multi-output (MIMO) systems. This new MIMO scheme merges error-correcting and space-time coding functions by transmitting invertible matrices, so this scheme has been called “Matrix Coded Modulation” or “MCM”. Coherent systems require channel state information (CSI) at the transmitters and/or at the receivers, and their performances strongly depend on the channel estimation. For example, in systems using Orthogonal frequency division multiplexing, the channel estimation requires the insertion of pilot-symbols in the transmitted frame which implies a spectral efficiency loss of the global system that increase with the number of transmit antennas. The existing non-coherent schemes such as the differential space-time modulation leads to performance degradation compared to coherent systems in which perfect CSI is assumed. Decoding in the MCM scheme is performed iteratively, based on a specified detection criteria. In the proposed MCM scheme, decoding can be achieved with or without CSI at the receiving antennas. As the space-time coding function is merged with the error-correcting code, the euclidean distances distribution between modulated signals based on the detection criteria is strongly linked to the Hamming weights distribution of the channel error-correcting code used in the MCM scheme. Moreover, a low-complexity decoding algorithm is described and compared to the existing differential schemes.     

MIMO系统中一种改进的盲MMSE空时多用户检测算法

针对MIMO系统,提出了一种改进的基于子空间的盲MMSE空时多用户检测算法。该算法结合MIMO系统的空间分集技术与Alamouti空时分组码方案,预估计MIMO信道信息并对信号子空间进行预处理,使用正交性能和稳态性能较好的NOOja算法跟踪信号子空间,在自适应过程中对特征值矩阵进行优化,去除迭代带来的噪声,解决了跟踪过程中信号特征值矩阵的近似估计会带来检测器性能恶化的问题。仿真结果表明这种算法,能有效地抑制多址干扰,抗远近效应能力强,尤其在低信噪比、远近效应明显的恶劣环境下,有稳定良好的性能表现。      

On maximum-likelihood detection and decoding for space-time codingsystems

Space-time coding (STC) schemes for communication systems employing multiple transmit and receive antennas have been attracting increased attention. In this paper, we address two interrelated problems: detection of space-time codes under various interference conditions and information transfer from the STC detector to an error-correcting channel decoder. By taking a systematic maximum-likelihood (ML) approach to the joint detection and decoding problem, we show how to design optimal detectors and how to integrate them with a channel decoder. We also discuss various aspects of channel modeling for STC communication receivers. In particular, while many previous works on space-time coding assume that the channel is a stochastic quantity, we find that a deterministic channel model can have some advantages for the receiver design. Finally, we illustrate our results by numerical examples. Index Terms-Interference suppression, maximum-likelihood estimation, maximum-likelihood sequence detection, MIMO systems, space-time coding, soft information     

Matrix Coded Modulation: A New Non-coherent MIMO Scheme

This paper describes a new space-time coding scheme for non-coherent multi-antenna Multi-Input Multi-Output (MIMO) systems. This new MIMO scheme merges error-correcting and space-time coding functions by transmitting invertible matrices, so this scheme has been called “Matrix Coded Modulation” or “MCM”. Coherent systems require Channel State Information (CSI) at the transmitters and/or at the receivers, and their performances strongly depend on the channel estimation. For example, in systems using Orthogonal Frequency Division Multiplexing, the channel estimation requires the insertion of pilot-symbols in the transmitted frame which implies a spectral efficiency loss of the global system that increase with the number of transmit antennas. The existing non-coherent schemes such as the Differential Space-Time Modulation leads to performance degradation compared to coherent systems in which perfect CSI is assumed. Decoding in the MCM scheme is performed iteratively, based on a specified detection criteria. In the proposed MCM scheme, decoding can be achieved with or without CSI at the receiving antennas. As the space-time coding function is merged with the error-correcting code, the euclidean distances distribution between modulated signals based on the detection criteria is strongly linked to the Hamming weights distribution of the channel error-correcting code used in the MCM scheme. Moreover, a low-complexity decoding algorithm is described and compared to the existing differential schemes.     

波束空时分组编码的ICA盲检测方案

理论研究已经证明,结合波束形成和空时分组编码的混合系统与传统的单纯使用波束发射或空时编码的方案相比具有很大的性能提高;传统的译码方案是借助接收端的信道估计来实现的,它需要知道准确的信道状态信息(CSI)。但如果信道估计不易实现,则系统性能将受很大影响。独立分量分析(ICA)作为一种经典的盲信号分离技术可以在不进行信道估计的情况下对发射信号实现有效检测。本文针对接收端的信号结构提出了一种基于ICA的正交检测方案;并通过仿真将新方案与传统方案进行了性能比较。仿真结果表明,新方案具有较好的系统适应性和误码率特性。     

基于DMT/QAM和STBC的室内MIMO光无线通信

针对室内漫射光无线通信问题,提出一种采用离散多音/正交幅度调制和空时块编码的多输入多输出(MIMO)光无线通信技术.基于离散多音/正交幅度调制技术,并通过考虑室内全光无线信道的脉冲响应和其噪声特性,建立起室内红外光无线链路的信道模型;再采用空时块编码技术,提出一种实现室内漫射光无线通信的MIMO无线通信系统,并通过分析...