二维内插的OFDM导频信道估计的研究

正交频分复用(OFDM)是一种多载波传输和调制技术,其主要特点是频带利用率高、抗多径干扰能力强,目前已成为无线通信高速数据传输的主要技术。介绍了OFDM系统的工作原理和二维信道估计技术,着重研究基于二维内插方式和二维变换域方式的PSAM信道估计技术,针对导频特点提出变换域插值一种改进的方法并与线性差值、样条差值进行对比。采用Simulink构建系统基带仿真并验证Rayleigh信道下各种二维插值方法的BER性能,结果表明该改进方法可行且具有良好的性能。     

基于信道特征和随机插值的物理层算法

分析无线通信系统当下的安全现状及保护物理层安全的必要性,结合无线信道的密钥生成方法,提出一种基于正交频分复用（OFDM）系统并行调制特点的随机插值的物理层安全算法。该算法的核心思想是在共享密钥的控制下,通过对快速傅里叶逆变换（IFFT）后输出的数据符号进行随机插值,将原OFDM符号重构,使得非法用户难以正确解调信号,达到保护传输信息安全的目的。该算法基于物理层加密,可更好地保护空中接口和无线链路,并行加密的过程也降低了通信系统实现的复杂度。通过理论分析及仿真实验表明,新算法可有效对抗各种非法攻击,同时对通信系统的固有性能影响较小,且能较好地适应多径信道,表现出不错的抗多径衰落能力。     

基于Radon变换的图像识别研究

基于Radon变换提出了一种新的图像识别方法，首先构造了二维图像在Radon变换空间的平移和比例不变量，然后根据变换空间数据的特性，利用奇异值分解得到了旋转不变量并将其用于三类飞机的识别，仿真结果表明该方法具有很好的性能和较高的实用价值。     

基于正交频分复用调制的物理层并行插值加密算法

针对传统链路层安全机制不能从根本上保护无线通信系统信息传输安全的问题,提出了一种基于正交频分复用（OFDM）系统并行调制特性和物理层安全的并行插值加密算法。首先,根据OFDM系统调制的子载波数目确定插入符号个数,并通过密钥控制生成插入符号位置;然后,取出对应插入位置前后的原OFDM符号,并计算其平均值作为插入符号;最后,在反快速傅里叶变换（IFFT）后完成伪随机插值。与传统链路层安全机制相比,所提算法能实现调制符号整体加密,保证了信令、标志及数据信息的安全,并有效降低了算法实现复杂度。仿真实验结果表明,该算法能有效抵抗各种窃听攻击,对通信系统固有性能影响小,能较好地适应高斯信道和多径信道,且表现出一定的抗多径衰落能力。     

The performance of multiwavelets based OFDM system under different channel conditions

In wireless communication reception, the reliability of orthogonal frequency division multiplexing (OFDM) is limited because of the time-varying nature of the channel. This causes inter-carrier interference (ICI) and increases inaccuracies in channel tracking. This can effectively be avoided at the cost of power loss and bandwidth expansion by inserting a cyclic prefix guard interval before each block of parallel data symbols. However, this guard interval decreases the spectral efficiency of the OFDM system as the corresponding amount. Recently, it was found that based on Haar-orthonormal wavelets, discrete wavelet-based OFDM (DWT-OFDM) is capable of reducing the inter symbol interference (ISI) and ICI, which are caused by the loss in orthogonality between the carriers. DWT-OFDM can also support much higher spectrum efficiency than discrete Fourier-based OFDM (DFT-OFDM). In this paper the DFT-OFDM is replaced by Multiwavelets OFDM (DMWT-OFDM) in order to further reduce the level of interference and increase spectral efficiency. It is found that proposed Multiwavelet design achieves much lower bit error rates, increases signal to noise power ratio (SNR), and can be used as an alternative to the conventional OFDM. The proposed OFDM system was modeled tested, and its performance was found under different channel conditions.     

多径瑞利衰落信道下OFDM系统仿真

正交频分复用(OFDM)技术是下一代移动通信的核心技术之一.重点研究了多径瑞利衰落信道下最大多径时延对基于OFDM技术的通信系统性能的影响.根据OFDM基本原理构建了一个OFDM无线通信基带系统仿真模型,信道带宽为15MHz.调制方式为16-QAM,编码方式采用码率为1/2的卷积,模型采用了60个子载波,并插入了循环前缀.分析了系统抗多径干扰的性能,比较了不同信道下系统的误码率,以及不同的保护间隔长度下系统的误码率.表明在瑞利衰落信道下OFDM技术具有良好的抗多径干扰的性能.     

OFDM水声通信信道估计技术研究

水声信道是一种极其复杂多变的时—空—频变信道,其信道窄、强多径干扰、信号起伏衰落严重,一直是水下信息可靠高速传输的主要障碍。正交频分复用(OFDM)是近年来数字通信中流行的一种并行传输新技术,其核心思想是将整个可用频带分割成多个正交子信道,将待传输的高速串行码流并行地调制在这些子信道载波上。主要研究利用三种不同的导频图案对OFDM水声通信信道进行估计,并通过仿真的方式来分析不同导频图案下信道估计的性能。     

基于OFDM的移动通信研究与应用

移动通信信道是现代通信系统中最为复杂的信道,OFDM（正交频分复用）作为一种有效对抗符号间干扰的高速传榆技术备受瞩目。OFDM技术是一种高效并行多栽波传输技术。它将所传送的高速率串行数据分解并调制到多个并行的正交子信道中,从而使每个子信道的码元宽度大于信道时延扩展,可以最大限度地利用频谱资源。OFDM目前的应用一般限于无线本地局域网（WLAN）和有线电话网上基于现有铜双绞线的非对称高比特率数字用户技术（如ADSL）,而要把它应用于4G移动通信的物理层,还存在许多挑战。     

自适应OFDM算法及其在煤矿井下无线通信系统中的应用

由于频率选择性衰落,OFDM的每个子信道的频率响应各不相同,为了保证系统的误码率性能,OFDM只能根据衰减最大的子信道来决定比特和功率的分配,造成很大的浪费。因此,文章提出了一种自适应OFDM(AOFDM)算法,该算法使得OFDM的每个子载波都能根据信道特性动态的变化选择调制方式和功率分配,最好地匹配信道容量。文章详细介绍了AOFDM的比特、功率算法,并详细分析了煤矿井下无线通信系统的特点,指出AOFDM算法非常适用于煤矿井下无线通信系统,并给出了基于AOFDM的矿井无线通信系统的组成框图,仿真结果表明使用效果良好。     

基于SystemC的MIMO OFDM系统的仿真实现

MIMO和OFDM是B3G和4G宽带无线通信的关键技术之一，能极大地提高信道的频谱利用率。传统的通信系统的设计都采用Matlab仿真，该文采用SystemC对4 ×4 MIMO OFDM无线通信系统进行了仿真实现。研究结果表明：MIMO OFDM系统能获得更高的数据率和更好的传输质量，使用SystemC仿真速度快，易于硬件实现，而且更节约系统资源。     

PSO-DBNet for Peak-to-Average Power Ratio Reduction Using Deep Belief Network

Data transmission through a wireless network has faced various signal problems in the past decades. The orthogonal frequency division multiplexing (OFDM) technique is widely accepted in multiple data transfer patterns at various frequency bands. A recent wireless communication network uses OFDM in long-term evolution (LTE) and 5G, among others. The main problem faced by 5G wireless OFDM is distortion of transmission signals in the network. This transmission loss is called peak-to-average power ratio (PAPR). This wireless signal distortion can be reduced using various techniques. This study uses machine learning-based algorithm to solve the problem of PAPR in 5G wireless communication. Partial transmit sequence (PTS) helps in the fast transfer of data in wireless LTE. PTS is merged with deep belief neural network (DBNet) for the efficient processing of signals in wireless 5G networks. Result indicates that the proposed system outperforms other existing techniques. Therefore, PAPR reduction in OFDM by DBNet is optimized with the help of an evolutionary algorithm called particle swarm optimization. Hence, the specified design supports in improving the proposed PAPR reduction architecture.     

一种自适应跨层空间子信道分配算法——基于多用户MIMO／OFDM系统

MIMO／OFDM是未来宽带无线通信接口的有效架构。本文提出了一种自适应跨层空间子信道分配算法，在多用户MIMO／OFDM系统中，联合链路层截短ARQ（T-ARQ）技术，以获取物理层最大的系统吞吐量为目标，推导了子载波分配准则，并给出了相应的算法流程。仿真结果表明，该算法具有良好的性能，有效地提高了系统的传输速率。     

Doubly selective fading channel estimation in MIMO OFDM systems

Recent researches in the information theory have demonstrated that MIMO commu nication systems have the potential to provide the linear increase in the channel capacity and frequency spectral efficiencies compared with single-input single-output (SISO communication systems. MIMO is one of the major development aspects in the new generation mobile communication technology, in which plenty spatio-temporal signa processing problems need to be resolved. Especially when MIMO channels are time…     

基于Turbo码的OFDM-IDMA系统干扰消除算法

基于交织多址系统,通过分析串行干扰消除和并行干扰消除两种方式的结构特点和纠错性能,结合两者优势,给出适用于OFDM-IDMA技术的串并结合干扰消除方式。通过构建等效的信道传输模型,在Turbo编码和OFDM条件下,将串并结合干扰消除方式与传统串行干扰消除方式进行性能对比。仿真结果表明,采用串并结合干扰消除技术的OFDM-IDMA系统,能够以较少的纠错性能损失为代价实现低时延多用户通信的目的。     

Spectral efficiency enhancement using an antenna‐based orthogonal frequency division multiaccess technique

An approach to enhance antenna spectral efficiency is proposed based on combining spacetime electromagnetic (EM) models of Tx/Rx antennas with orthogonal frequency division multiaccess (OFDM), leading to the EM‐OFDM, a technology capable of removing intersymbol interference (ISI) in high‐data rate communication links caused by the EM‐induced distortion antenna effects. The proposed approach differs from traditional OFDM in wireless communication in several aspects. First, the technique suggests a new decoupling approach by treating each given antenna transreceive device pair as a “stand‐alone channel” with its own distortion mechanisms considered separately from the propagation channel. Moreover, the deterministic distortion caused by the nonflat pure antenna EM filtration effects is exploited to carefully design a specialized OFDM transmission techniques based on the antenna parameters, not the multipath fading channels often invoked in conventional uses of OFDM methods. (The EM‐OFDM, however, can be combined with a traditional OFDM later if fading channels are present.) In this manner, a more efficient implementation of the wireless link equalization strategy may be enacted since the EM antenna origin of ISI is very different from the traditional propagation channel one. As a proof of concept, the proposed EM‐OFDM method is implemented for a single‐input‐single‐output link comprised of half‐wavelength linear wire antennas. A careful use of finite difference time‐domain to provide EM data allowed the construction of 64 decoupled “pure antenna OFDM subchannels.” Simulation results suggests that the antenna‐based OFDM system is capable of completely neutralizing all ISI effects caused by the limited antenna matching bandwidth of the transreceive wires, therefore, supporting considerably higher data rates with low symbol error rate (SER). A concrete evaluation of the SER using quadrature phase‐shift keying (QPSK) digital carrier modulation resulted in an increase of the effective antenna digital communication spectral efficiency by ratios up to 300%. Moreover, the EM‐OFDM error rate was found to be close to the ideal QPSK level or the maximum possible theoretical limit. Thus, combining detailed EM knowledge with standard signal processing methods can lead to considerable improvement in system design without modifying the antenna physical layout. The proposed approach is expected to play a role in the forthcoming 5G/6G and millimetre wave technology systems currently under development where there is a trend toward integration of EM and digital signal processing at the physical layer level.     

面向天河2A系统的基于蒙特卡罗方法的粒子输运异构协同计算

Particle transport simulation plays an important role in the field of nuclear science and medical radiation therapy. Based on Monte Carlo method, this paper proposes a heterogeneous cooperative algorithm of particle transport on the Tianhe 2A system. Based on the asynchronous communication modes (BCL and ACL) of the Tianhe 2A system, a simple and efficient symmetric communication mode between the CPU and the Matrix2000 accelerator is proposed. On the Matrix2000 accelerator, the thread level parallelism of the program is developed through OpenMP instructions. The original serial data collection communication mode is optimized, and a new communication mode based on binary tree structure is proposed, which greatly reduces the communication time. On the Tianhe 2A system, the parallel program based on CPU/Matrix2000 heterogeneous collaborative computing can be scaled up to 450k cores, and the parallel efficiency compared to 50k cores is stabilized at 22.54%.     

UFMC‑MIMO波束成形传输方案设计

为了适应未来无线通信系统中的设备多样性、高速率、低时延和低功率消耗的需要,新型波形研究成为第5代无线通信系统的关键技术之一。通用滤波多载波（Universal?filtered multicarrier, UFMC）是一种广泛研究的5G侯选波形。然而现有的UFMC研究只涉及UFMC-SISO的场景,UFMC-MIMO的可行性和性能分析仍然空缺,而MIMO波束成形必然是5G通信系统的重要场景,因此对UFMC-MIMO进行评估和研究具有重要价值。本文提出了一个UFMC-MIMO系统可行方案,包括发射机、接收机和波束成形实现算法。通过数学推导证明该方案能正确恢复发送端数据并通过仿真验证其性能。仿真结果表明,不论在加性高斯白噪声（Additive white Gaussian noise,AWGN)信道还是在多径信道下,UFMC-MIMO都具有比OFDM-MIMO更优越的性能,尤其在抗频偏鲁棒性上表现出很大的优越性,进而验证了UFMC-MIMO传输方案具备应用5G通信的能力。     

基于SimpliciTI网络协议的无线串口桥技术研究

提出了一种基于SimpliciTI网络协议的真正透明传输的无线串口桥技术,设计采用数据帧自适应接收技术、自动跳频技术解决了无线通信的可靠性差、实时性弱等问题。节点设计以CC1110微处理器＋SimpliciTI协议栈为核心,给出了硬件原理图、软件流程图以及通信帧格式。结果表明,该系统硬件结构简单、数据传输可靠,具有扩展性强、实时性强等特点,可广泛应用于远程控制、数据采集等领域。     

Loss probability estimation and control for OFDM/TDMA wireless systems considering multifractal traffic characteristics

In this paper, we analyze the queueing performance in terms of loss rate of an OFDM (orthogonal frequency-division multiplexing)/TDMA (time division multiplexing access) based wireless system taking into account the multifractal behavior of the wireless traffic flows. To this end, first, we show evidences of multifractal characteristics on wireless traffic traces. These findings motivated us to propose a traffic policing and control scheme based on a multifractal envelope process in order to maintain the traffic flows well-behaved, i.e., in accordance to the desired QoS parameters. Furthermore, by assuming a multifractal traffic model, we derive a data loss probability equation for wireless traffic flows that was applied to the OFDM/TDMA based wireless system. Simulations and comparisons to other methods were carried out in order to verify the efficiency of the proposed traffic policing scheme as well as of the loss probability estimation approach.     

A decomposition method with minimum communication amount for parallelization of multi-dimensional FFTs

The fast Fourier transform (FFT) is undoubtedly an essential primitive that has been applied in various fields of science and engineering. In this paper, we present a decomposition method for the parallelization of multi-dimensional FFTs with the smallest communication amounts for all ranges of the number of processes compared to previously proposed methods. This is achieved by two distinguishing features: adaptive decomposition and transpose order awareness. In the proposed method, the FFT data is decomposed based on a row-wise basis that maps the multi-dimensional data into one-dimensional data, and translates the corresponding coordinates from multi-dimensions into one dimension so that the one-dimensional data can be divided and allocated equally to the processes using a block distribution. As a result and different from previous works that have the dimensions of decomposition pre-defined, our method can adaptively decompose the FFT data on the lowest possible dimensions depending on the number of processes. In addition, this row-wise decomposition provides plenty of alternatives in data transpose, and different transpose order results in different amounts of communication. We identify the best transpose orders with the smallest communication amounts for the 3-D, 4-D, and 5-D FFTs by analyzing all possible cases. We also develop a general parallel software package for the most popular 3-D FFT based on our method using the 2-D domain decomposition. Numerical results show good performance and scaling properties of our implementation in comparison with other parallel packages. Given both communication efficiency and scalability, our method is promising in the development of highly efficient parallel packages for the FFT.