MIMO-OFDM系统中限幅噪声的降低

MIMO-OFDM技术已成目前第四代移动通信的核心技术,而当MIMO-OFDM系统应用于高速移动快衰落环境中时,由于限幅产生的限幅噪声将导致信道估计性能的严重下降,提出了在快速移动衰落环境下,减弱梳状导频位置处限幅噪声的一种新方法,其基本原理是插入导频前在频域内把导频位置的限幅噪声直接滤除。仿真结果表明这种新的方法能有效的改善信道估计和系统的性能。     

物联网中一种抗大规模天线阵列窃听者的噪声注入方案

物联网中无线传输的安全难题是制约其发展的重要瓶颈,物联网终端受限的计算能力与硬件配置以及配备大规模天线阵列的窃听者给物理层安全技术带来了新的挑战。针对该问题,该文提出一种可对抗大规模天线阵列窃听者的轻量级噪声注入策略。首先,对所提出的噪声注入策略进行介绍,并分析了该策略的安全性;然后,基于该策略得到了系统吞吐量的闭式表达式,并对时隙分配系数和功率分配系数进行优化设计。理论和仿真结果表明,通过对物联网系统参数进行设计,所提出的噪声注入策略能够实现私密信息的安全传输。

     

Analog Impairments in MIMO-OFDM Systems

MIMO-OFDM is being considered for communication systems where high throughput and spectral efficiency are important factors. Analog impairments like I/Q mismatch and phase noise significantly degrade and limit the performance of communication systems. In this paper, we analyze the impact of I/Q mismatch and phase noise in MIMO-OFDM systems as a function of the number of antennas. We show the improvement in performance that is possible when these impairments are cancelled. We also discuss the impact of correlated and uncorrelated phase noise in MIMO-OFDM systems. Finally, we show the results of I/Q mismatch and phase noise cancellation in wireless measurements performed using a 2times2 MIMO-OFDM testbed     

IRS-Aided SWIPT Systems with Power Splitting and Artificial Noise

Intelligent reflecting surface(IRS)is re-garded as a promising technology because it can achieve higher passive beamforming gain.In partic-ular,the IRS assisted...     

基于QR分解的MIMO-OFDM系统信道估计降噪方法

MIMO-OFDM传输系统的信道估计降噪算法多是基于DFT,如果系统中含有虚载波,该方法将严重影响系统的性能。为使信道估计性能不受系统虚载波影响,提出了基于QR分解的系统信道估计降噪方法,该方法将部分频域变换矩阵经过QR分解,得到酉矩阵,将其与LS频域信道估计矢量相乘后得出信道估计噪声。用Matlab对提出的算法进行了仿真,通过对仿真结果进行分析比较并得出结论,验证了改进算法的优越性。     

基于人工噪声预编码的多天线中继安全性能分析

为提升存在窃听者的中继网络的安全性能,在多天线放大转发中继端采用人工噪声预编码(ANP)和特征波束形成(EB)安全传输策略,推导了ANP和EB的可达安全速率(EASR)闭合表达式。在中继配置大规模天线时,推导了ANP的EASR下界,并在高信噪比和低信噪比情况下研究了渐近性能。分析和仿真结果显示,在中高信噪比区域,ANP相比于EB可获得显著的性能增益,而在低信噪比区域,EB优于ANP。当信噪比增加时,EB的EASR接近一个与第1跳无关的常数。在高信噪比区域,ANP的最优功率分配方案是将一半左右的功率分配给人工噪声。     

频率选择性快衰落信道中的MIMO—OFDM系统检测算法研究

当MIMO—OFDM（Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing）系统工作于频率选择性快衰落信道时，子载波正交性会受到破坏从而引入子载波间干扰（Inter-Cartier Interference：ICI）．ICI的存在将严重降低那些传统的用于检测准静止频率选择性衰落信道下MIMO—OFDM的检测算法的性能．本文将Schniter针对SISO（Sinsle Inputsingle Output）OFDM系统提出的最优线性预处理扩展到MIMO—OFDM系统，基于这个信号模型推广了基于最小均方误差滤波的迭代软判决干扰抵消（Minimum Mean Square Errorfiltering based Iterative Soft Decision Interference Cancellation：MMSE—ISDIC）逐符号检测算法，同时提出一种基于准最大后验概率准则的迭代软判决干扰抵消（quasi—maximum A postefiofi probability based ISDIC：quasi—MAP-ISDIC）联合检测算法．仿真结果表明在本文考虑的系统参数设定下这两种检测算法的性能均优于文献[8]中算法的性能，其中quasi．MAP-ISDIC检测算法能够获得接近基于理想ICI抵消的MAP检测算法的性能。     

MIMO-OFDM系统中自适应比特交织HARQ方案

基于多天线正交频分复用(MIMO- OFDM)系统提出了一种根据信道状态信息进行自适应比特交织的混合自动重传请求(HARQ)方案,它充分利用信道的状态信息对每次重传的比特进行交织来获得频率分集增益和平均各个比特间的可靠性.仿真结果表明,在Type III HARQ类型(包括Chase合并和部分冗余递增)下,该方案可以有效降低系统的误码率性能.     

MIMO-OFDM系统中跨层媒体接入控制

针对MIMO-OFDM系统,提出了一种基于时隙ALOHA协议的随机接入方案,该方案利用一个简单的中心控制器和物理层的自适应调制技术以及MIMO迫零信号检测算法,在媒体接入控制层提供多包接收能力,解决包冲突问题。在满足用户BER要求的前提下,研究了系统最大化吞吐量时,接入同一子载波的最优用户数,并为此设计最佳的接入请求概率。仿真结果表明,最优接入天线数大约为接收天线数的四分之三,此时可以获取最大的吞吐量。     

MIMO-OFDM系统中降低峰均功率比技术研究

多输入多输出正交频分复用(M IMO-OFDM)系统已成为新一代高速通信系统研究中的热点,而系统所产生的高峰均功率比(PAPR)信号是限制M IMO-OFDM技术实用化的主要障碍。本文在分类的基础上,对目前主要采用的降低M IMO-OFDM系统PAPR的方法进行介绍,描述了其优缺点及部分改进方案。     

MIMO-OFDM系统载波间干扰的时域消除

由于载波间干扰（ICI）是影响正交频分复用（OFDM）系统性能的重要因素,一般消除ICI时作信道估计都采用辅助导频的方法,需要使用大量的离散导频,为此提出了一种对MIMO信道中ICI消除的时域均衡方法。该方法利用MIMO空时检测后的数据信息迭代回去,当作导频符号估计出时变信道的冲激响应,然后通过时域均衡消除ICI,而无需额外的导频,在改善系统误误码率的同时,提高了频谱的利用率。     

基于MMSE算法的MIMO-OFDM系统频率同步

MIMO-OFDM技术将成为4G的核心技术,但其频率同步问题是必须要解决的问题之一。传统的盲同步算法中,大多在精确度和复杂度之间很难取舍。针对LS(最小二乘)算法精确度不高的问题,提出了一种新的基于MMSE(最小均方误差)算法的频率同步方法,并与LS算法的性能进行了比较。仿真结果表明,在同样的信噪比下,MMSE算法能得到比LS算法更低的误码率和均方误差。     

Multiuser MIMO-OFDM for Next-Generation Wireless Systems

This overview portrays the evolution of orthogonal frequency division multiplexing (OFDM) research. The amelioration of powerful multicarrier OFDM arrangements with multiple-input multiple-output (MIMO) systems has numerous benefits, which are detailed in this treatise. We continue by highlighting the limitations of conventional detection and channel estimation techniques designed for multiuser MIMO OFDM systems in the so-called rank-deficient scenarios, where the number of users supported or the number of transmit antennas employed exceeds the number of receiver antennas. This is often encountered in practice, unless we limit the number of users granted access in the base station's or radio port's coverage area. Following a historical perspective on the associated design problems and their state-of-the-art solutions, the second half of this treatise details a range of classic multiuser detectors (MUDs) designed for MIMO-OFDM systems and characterizes their achievable performance. A further section aims for identifying novel cutting-edge genetic algorithm (GA)-aided detector solutions, which have found numerous applications in wireless communications in recent years. In an effort to stimulate the cross pollination of ideas across the machine learning, optimization, signal processing, and wireless communications research communities, we will review the broadly applicable principles of various GA-assisted optimization techniques, which were recently proposed also for employment in multiuser MIMO OFDM. In order to stimulate new research, we demonstrate that the family of GA-aided MUDs is capable of achieving a near-optimum performance at the cost of a significantly lower computational complexity than that imposed by their optimum maximum-likelihood (ML) MUD aided counterparts. The paper is concluded by outlining a range of future research options that may find their way into next-generation wireless systems.     

Channel Estimation for MIMO-OFDM Systems by Modal Analysis/Filtering

In this paper, we investigate the benefits of exploiting the a priori information about the structure of the multipath channel on the performance of channel estimation for multiple-input multiple-output (MIMO)-orthogonal frequency-division multiplexing (OFDM) systems. We first approach this problem from the point of view of estimation theory by computing a lower bound on the estimation error and studying its properties. Then, based on the insight obtained from the analysis, efficient channel estimators are designed that perform close to the derived limit. The proposed channel estimators compute the long-term features of the multipath channel model through a subspace tracking algorithm by identifying the invariant (over multiple OFDM symbols) space/time modes of the channel (modal analysis). On the other hand, the fast-varying fading amplitudes are tracked by using least-squares techniques that exploit temporal correlation of the fading process (modal filtering). The analytic treatment is complemented by thorough numerical investigation in order to validate the performance of the proposed techniques. MIMO-OFDM with bit-interleaved coded modulation and MIMO-turbo equalization is selected as a benchmark for performance evaluation in terms of bit-error rate.     

MIMO-OFDM系统中的信道盲估计技术

MIMO-OFDM能极大提高系统的容量,同时能克服频率选择信道对于信号的影响.文中讨论了MIMO-OFDM信道估计中能解决带宽有效利用率的信道盲估计技术.在虚载波可用的情况下,信道盲估计可以不用循环前缀来提高信道利用率,避免由于插入导频符号而带来的资源浪费.通过对一个二传送、三接收天线系统的仿真结果表明,文中提出的噪声子空间方法,能有效地减少信道估计错误,使系统容量达到更高信道利用率.     

MIMO-OFDM系统中的信道估计算法

本文对MIMO—OFDM系统中的信道估计技术进行了介绍,根据是否使用训练序列,信道估计可以分为导频辅助信道估计、盲信道估计及半盲信道估计,本文分别对已有的信道估计算法进行了综述,并对一种已有的基于m序列的时域信道估计方法进行了改进。     

Semi-Blind Time-Domain Equalization for MIMO-OFDM Systems

In this paper, a semi-blind time-domain equalization technique is proposed for general multiple-input-multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. The received OFDM symbols are shifted by more than or equal to the cyclic prefix (CP) length, and a blind equalizer is designed to completely suppress both intercarrier interference (ICI) and intersymbol interference (ISI) using second-order statistics of the shifted received OFDM symbols. Only a one-tap equalizer is needed to detect the time-domain signals from the blind equalizer output, and one pilot OFDM symbol is utilized to estimate the required channel state information for the design of the one-tap equalizer. The technique is applicable irrespective of whether the CP length is longer than, equal to, or shorter than the channel length. Computer simulations show that the proposed technique outperforms the existing techniques, and it is robust against the number of shifts in excess of the CP length.     

OFDM与MIMO-OFDM系统中PAPR问题研究

正交频分复用(OFDM)和MIMO-OFDM技术都存在高峰均比的问题,大多数方法都是把降低OFDM峰均比的方法直接使用MIMO-OFDM系统,但在与MIMO-OFDM系统的匹配上存在较大问题。分析了OFDM和MIMO-OFDM的系统模型及PAPR,从理论上分析了OFDM和MIMO-OFDM两系统的关系,给出了在MIMO-OFDM系统中降低PAPR需要注意的问题,为OFDM和MIMO-OFDM系统的技术实用化做好理论基础。     

MIMO异构网络中一种基于人工噪声的抗主动窃听者的鲁棒安全传输方案

为保证MIMO异构网络面临多天线主动窃听时的安全性,该文提出一种基于人工噪声的抗主动窃听者的鲁棒安全传输方案。首先,考虑窃听者发送上行导频干扰的情形,研究了其发送的上行导频干扰对合法用户信道估计的影响。随后,基于信道估计结果对宏基站、微基站的下行数据与噪声信号的预编码矩阵进行设计,并推导了此种情形下系统安全速率的表达式。然后,以系统安全速率最大化为目标对基站的下行数据与噪声信号的发送功率进行优化设计,并提出一种基于1维线性搜索的求解方法。进一步地,考虑窃听者在发送上行导频干扰后,继而发送噪声干扰用户下行通信的情形,提出一种基于离散零和博弈方法来获取最优的发送功率设计。仿真结果验证了所提方案的安全性和鲁棒性。