多入多出超宽带信道建模与仿真

在IEEE802.15.3a超宽带(UWB)信道模型的基础上,利用平行波近似理论,根据天线阵列的结构和多径的传播方向,提出了一种新的多入多出(MIMO)超宽带统计信道模型。各个子信道的多径幅度、相位和波达时间被引入了信道模型。子信道的信道特征参数满足超宽带信道的特征。实际测量的统计结果表明,波离角(AOD)和波达角(AOA)服从拉普拉斯分布。空间相关性、信道容量和天线间距、角度扩展之间的关系表明,该信道模型满足实际的空间相关统计特性。该模型对MIMOUWB系统的研究具有重要意义。     

Deconvolution techniques for characterizing indoor UWB wireless channel

A deconvolution algorithm is proposed to account for the distortions of impulse shape introduced by propagation process.By finding the best correlation of the received waveform with the multiple templates,the number of multipath components is reduced as the result of eliminating the"phantom paths",and the captured energy increases.Moreover,it needs only a single reference measurement in real measurement environment(do not need the anechoic chamber),which by far simplifies the templates acquiring procedure.     

矿井巷道的MIMO无线信道建模与性能仿真

矿井巷道电波传播环境非常复杂,建立MIMO无线信道模型有助于将无线通信技术应用到煤矿井下。针对矿井巷道中MIMO无线传输环境,提出一种随机独立的MIMO信道,然后根据矿井巷道的富散射环境,对该信道矩阵进行修正,建立了两种空间相关的MIMO信道模型。文章对包含完全独立路径的瑞利信道模型的奇异值和信道容量进行了分析比较,并对不同信道模型下的系统性能进行了仿真。仿真结果与文献的实测结果对比说明建立的模型不失一般性。

Abstract：

The radio propagation situation is very complex in mine laneway,so it is important to establish an efficient MIMO channel model for applying wireless communication technology to coal underground.A stochastic MIMO channel model was proposed firstly based on wireless propagation environment in mine tunnel,and then two spatial correlative channel models were established through correcting channel matrices based on abundant scatter environment.The singular values and the channel capacity obtained with a Rayleigh channel model were compared,and system performance of different channel models were simulated.The simulation results indicate that the established channel models are feasible by comparing with measurements results.     

MIMO-OFDM/OQAM系统中基于导频的时域信道估计方法

针对基于交错正交幅度调制的多输入多输出正交频分复用(multiple input multiple output orthogonal frequency division multiplexing with offset quadrature amplitude modulation,MIMO-OFDM/OQAM)系统的信道估计问题,构造了基于导频的时域信道估计模型,利用导频符号估计信道的时域脉冲响应。与传统的频域信道估计方法相比,这种方法需要的导频数量较少,并且在存在严重频率选择性衰落的信道条件下也有较好的估计性能,理论分析和仿真结果表明了算法的有效性。     

VHF/UHF通信电台接收链路中的干扰抑制合并方法

考虑一发两收甚高频/特高频(very high frequency/ultra high frequency,VHF/UHF)通信电台接收链路存在的同频强干扰,针对传统抗干扰方法需精确估计信道参数的难题,提出一种基于决策的干扰抑制合并(decision-based interference rejection comb...     

OFDM技术在无人机通信中的仿真研究

描述了一种无人机通信信道模型。该模型由：视行分量;反射分量;散射分量三部分组成。根据已证实的测量结果和经验数据,给出了典型仿真值。对OFDM在无人机的3个主要状态下的误码率性能进行了仿真,并与OQPSK作了比较。仿真结果表明OFDM能有效克服由多径信道引起的码间干扰,比传统的单载波传输技术更适合无人机通信信道。     

一种基于导频的OFDM系统信道估计方法

提出一种使用矩形导频图案的OFDM信道估计方法。接收端首先在频率方向估计信道,然后在时间方向插值。该方法仅需累加和少量乘法运算就能估计出信道冲激响应,复杂度低,实时性高。在未编码16QAM-OFDM系统中,通过仿真将提出的方法与线性、cubic和MMSE插值法进行均方误差和误比特率的比较。结果表明该方法性能优于前两者,接近后者。     

基于压缩感知和递归最小二乘的IR-UWB信道估计算法

为了减轻脉冲无线超宽带(impulse radio ultra-wide band, IR-UWB)接收机高采样频率的负担,提出了基于压缩感知和递归最小二乘的低采样率信道估计算法。该算法先令接收到的训练符号通过随机滤波器,并对其欠采样,对采样到的信号进行递归最小二乘计算,最后利用压缩感知重构算法得到信道参数的估计值。提出的算法能够在低采样率的情况下对IR-UWB信道参数进行有效估计。该算法一方面降低了接收机对于模数转换器的要求;另一方面,低采样率产生较小的数据量,从而降低了估计算法的计算量。     

Bayesian sequential state estimation for MIMO-OFDM systems

For the estimation of MIMO frequency selective channel, to mitigate the curse of dimensionality, a novel particle filtering scheme combined with time delay domain processing is proposed. In order to extract the time delay domain channel impulse response from the observed signal, the least-squares (LS) and minimum mean squared error (MMSE) criteria are discussed and the comparable performance of LS with MMSE for samplespaced channel is revealed. Incorporated the dynamical channel model, gradient particle fil...     

注意力机制CNN的毫米波大规模MIMO系统信道估计算法

在室外光线追踪通信场景下,针对毫米波大规模多输入多输出(multiple input multiple output,MI-MO)信道具有稀疏特性、系统受噪声因素影响导致信道估计精度低的问题,提出一种基于图像去噪的注意力机制卷积神经网络信道估计方法.首先,设定参数产生模拟真实环境的数据集,将所产生的信道矩阵看作二维图像...     

脉冲信道下基于深度学习的BP译码方法

在脉冲信道下,针对置信传播(belief propagation, BP)算法对短码长的低密度奇偶校验(low-density parity-check, LDPC)码译码性能差的问题,提出了一种基于深度学习的BP译码方法。首先，根据Tanner图构建两种深度神经网络模型,通过对Tanner图中边的权重重新赋值来提升译码性能。然后，简化信道对数似然比(log-likelihood ratio, LLR)的计算方法,通过模型训练优化近似计算参数,得到对参数γ鲁棒的译码模型。最后，构造鲁棒训练集,训练得到对参数α和γ鲁棒的译码模型。仿真结果表明,在高码率时,该方法相对于传统BP译码算法性能显著提升,且在近似计算信道LLR值时,译码性能在不同参数的脉冲信道下均具有鲁棒性。     

脉冲信道下基于深度学习的BP译码方法

在脉冲信道下,针对置信传播(belief propagation, BP)算法对短码长的低密度奇偶校验(low-density parity-check, LDPC)码译码性能差的问题,提出了一种基于深度学习的BP译码方法。首先,根据Tanner图构建两种深度神经网络模型,通过对Tanner图中边的权重重新赋值来提升译码性能。然后,简化信道对数似然比(log-likelihood ratio, LLR)的计算方法,通过模型训练优化近似计算参数,得到对参数γ鲁棒的译码模型。最后,构造鲁棒训练集,训练得到对参数α和γ鲁棒的译码模型。仿真结果表明,在高码率时,该方法相对于传统BP译码算法性能显著提升,且在近似计算信道LLR值时,译码性能在不同参数的脉冲信道下均具有鲁棒性。     

接收分集OFDM通信系统的盲信道估计

提出一种新的利用接收分集技术的OFDM通信系统盲信道估计方法.所提出的算法根据单入多出系统模型,可直接在一个接收数据块内估计出各个接收分支所对应的多径信道,且不要求接收信号的二阶统计量等相关统计信息.由于采用频域相除抵消技术,各分支的信道参数可分离估计,因此降低了计算复杂度.仿真分析表明该算法的有效性.     

分布式交互仿真中的电波传播模型研究

针对分布式交互仿真中电波传播的建模与表现方法进行了研究.针对电波传播环境的复杂性,采用了一种将经验模型、半确定半经验模型和确定模型相结合的电波传播模型,并给出了复杂电波传播环境下相关环境信息数据的表达方法.在小区制非可视传播环境中,加速改进了基于SBR的射线跟踪算法,给出了相关的实验,并验证了其有效性.     

超宽带无线通信技术的新进展

首先简要介绍了超宽带(UWB)的系统性能特点及UWB的调制与多址接入技术,然后着重讨论了UWB的最新进展,包括:IEEE802.15.3aUWB多径信道模型,UWB的多入多出(MIMO)系统,UWB的正交频分复用(OFDM)系统以及定位于低速无线个域网(LR-WPANs)的802.15.4a标准。最后提出几个值得探索的研究方向,如:寻求一种新的适合分析非正弦窄脉冲的UWB系统的无线通信理论等。     

基于IEEE 802.15.4a信道的超宽带脉冲信号仿真研究

针对超宽带通信技术在远距离、低速率、精确定位方面的应用,对超宽带脉冲信号波形设计和特性进行了研究。采用了优化组合的方法进行了超宽带脉冲信号设计并对其性能进行了研究。通过仿真计算,分析了超宽带脉冲信号在IEEE 802.15.4a信道中的传播特性,得出了信道对脉冲信号影响的相关结论。结果表明,采用优化组合方法设计的超宽带脉冲信号能满足FCC辐射掩蔽标准要求,IEEE802.15.4a信道模型能较好的反映信号传播的基本规律,多路径信道对超宽带信号功率谱影响不大,超宽脉冲带信号具有抗多径干扰能力强的特点,适合低速率无线个域网、精确定位等领域的应用。     

基扩展模型下基于LSTM神经网络的时变信道预测方法

针对高速移动正交频分复用系统, 提出了一种基扩展模型(basis expansion model, BEM)下基于长短期记忆(long short-term memory, LSTM)神经网络的时变信道预测方法。为了降低传统BEM的建模误差, 根据高速移动环境中不同列车在相同位置处的无线信道具有强相关性的特点, 首先基于历史时刻的信道状态信息获取最优的基函数, 并利用该基函数对信道进行建模。然后, 通过LSTM神经网络对信道基系数进行线下训练与线上预测来获取未来时刻信道信息, 大大降低了计算复杂度。在线下训练中, 将网络的逼近目标设置为信道估计值, 而不是理想的信道信息, 以增强预测模型的实用性。仿真结果表明, 相比现有方法, 新方法的计算复杂度较低, 且预测精度较高。     

Deconvolution techniques for characterizing indoor UWB wireless channel

A deconvolution algorithm is proposed to account for the distortions of impulse shape introduced by propagation process. By finding the best correlation of the received waveform with the multiple templates, the number of multipath components is reduced as the result of eliminating the ＂phantom paths＂, and the captured energy increases. Moreover, it needs only a single reference measurement in real measurement environment （do not need the anechoic chamber）, which by far simplifies the templates acquiring procedure.     

Simplified calculation of UWB signal transmitting through a finitely conducting slab

A simplified closed-form analytic solution for UWB impulse signal transmitting through a finitely conducting slab is proposed. The approach first requires evaluating the impulse response of the slab and then convolving it with the specified incident field waveform. To obtain the impulsive transmitting field, either for vertical or horizontal polarization, approximations to the refraction coefficients and propagation loss are made, which can be proved to be accurate enough, comparing with their frequency domain solutions. Thereby, it permits simplified closed-form expressions in the time domain for both terms. The resulting transient response for the transmitting impulse field is then given by convolution of the time domMn refraction coefficients and time domain propagation loss. A numerical example of an incident monocyele transmitting through a slab using this technique, is presented, to illustrate the effective use of the method.     

Equivalent Time-Domain Representation and Uplink Channel Estimator for Multicarrier CDMA Systems

Many blind channel estimation methods have been proposed for direct sequence (DS) code-division multiple access (CDMA) systems, so we can certainly use them to estimate the finite impulse response (FIR) channel for the multi-carrier (MC-) CDMA system. In this paper, the MC-CDMA system is interpreted as an equivalent time-domain DS-CD-MA system with specific spreading codes. Then, an equivalently time-domain blind channel estimator is derived for the