随机波束研究超宽带室内多径信道特性

从随机桥过程出发引入随机波束概念,使用随机波束研究超宽带（UWB）室内多径信道的传播特性.将UWB信号多径传播轨迹视作随机过程的样本,得到建模多径信道传播特性的随机波束.使用随机波束构建UWB信道的多径传播模型,并给出使用随机波束方法分析UWB室内多径信道特性的算法.使用该信道模型对实际传播环境进行仿真分析,并与其它建模UWB多径信道的方法进行了比较.仿真得到的UWB信道的功率延迟分布特性与实验测量的结果非常一致,证明此方法的有效性.     

超宽带室内多径信道随机分析模型

使用随机分析方法研究超宽带(UWB)室内多径信道.从UWB信号的基本传播特性出发构建随机分析模型的物理基础.假设UWB信号的多径分量在信道中的传播轨迹是某个随机过程的样本,把UWB信号在信道中传播时发生的传播损耗,和与散射体发生碰撞产生的损耗分开,建立UWB室内多径信道的随机分析模型,包括完全随机的布朗桥模型和有约束的布朗桥模型.使用有约束的布朗桥模型对假设的有8个散射体的不完全随机分布室内环境,以及有金属网格玻璃门反射的走廊环境进行仿真,得到了具有明显成簇现象的UWB信道的功率延迟分布.仿真结果与已公布的UWB信道实测结果具有很好的相似性.     

超宽带室内多径信道特性的最优化分析

分析超宽带(UWB)信道特性并建立合适的信道模型是UWB无线通信研究的重要内容。采用最优化方法分析UWB室内多径信道的特性,并讨论构建UWB信道的数学模型。在此基础上通过引入随机桥过程假设和概率选择性假设,使用最优化方法建立UWB信道冲激响应的有约束布朗桥模型(BBBM);分析BBBM模型有效随机路径判据,给出在最优化框架基础上的建模算法;使用BBBM模型对UWB信道进行仿真分析,得到的UWB信道特性和用实验测量与UTD方法得到的信道特性非常相似,特征参量的取值与实际情况相符。     

超宽带室内多径信道成簇特性仿真与分析

超宽带（UWB）无线信道的成簇特性是UWB信号在室内多径信道中的重要传播特性。在对UWB室内多径信道成簇特性进行分析的基础上，介绍了UWB信道的成簇模型，对UWB信号的基本特征和成簇现象形成的原因及其影响进行分析；采用布朗桥方法对有金属网格玻璃门反射的走廊环境中UWB多径信道的成簇特性进行仿真和分析；将具有成簇现象的UWB信号功率时延谱仿真结果与已公布的测量数据结果进行了比较和验证。为UWB无线信道及其信号传播特性的研究打下较好的基础，具有重要参考价值。     

随机桥方法研究超宽带无线信道

该文使用随机桥方法研究超宽带室内多径信道。首先介绍随机桥理论,分析UWB室内多径信道的物理基础;然后对UWB脉冲信号失真问题和脉冲信号的相位问题进行深入分析。把UWB信号在信道中发生的传播损耗和与散射体发生碰撞产生的损耗分开,假设UWB多径信号的传播路径为布朗桥过程,同时采用双值相位假设,得到布朗桥模型信道冲激响应。对有金属网格玻璃门反射的走廊环境进行仿真,得到的UWB信道功率时延分布与公布的UWB信道测量结果一致。     

伪波束法研究超宽带室内信道的功率分布

针对超宽带(UWB)信号的传输特点,以及超宽带信道与窄带信道间的区别,基于传播环境的几何描述,使用伪波束法建立了UWB多径信道有约束的布朗桥模型(BBBM)。根据UWB室内多径信道接收功率的遍历性假设,利用得到的多径信道模型计算室内UWB通信系统的功率分布。对三个典型环境下不同路径的UWB室内信号功率分布进行了仿真分析,计算结果与理论分析一致,表明基于伪波束法的UWB室内信道BBBM模型是正确的,使用BBBM模型可以分析UWB通信系统在室内环境的功率覆盖。     

UWB的Scholtz信道和其它信道的比较

研究了UWB通信系统的Scholtz室内信道传播模型,进行了信道仿真,仿真结果具有明显成簇现象,与已公布的UWB信道实测结果具有很好的相似性。同时,研究了UWB通信系统的另3种信道传播模型,S—V信道模型、IEEE802．15．3a信道模型和AT＆T信道模型,进行了信道仿真,得到了特征参数。并将Scholtz信道在3种不同房间中的传播特性以及各信道模型在同样的环境中进行了比较。为UWB系统在不同的信道模型上得到的分析值之间的转化提供参考。     

基于UWB的矿井无线信道测量与建模

通过研究UWB技术的特点，分析UWB信道的传输特性，可以确定信号的发射和接收脉冲信号。文中从信道路径损耗和多径损耗方向进行公式推导和分析，明确了路径损耗和多径损耗在UWB信道中的传播特点，接着分析了Δ-k信道模型和修正后的Δ-k信道模型，并对S-V信道模型和修正后的S-V模型进行了分析，再针对传播特点建立了适合矿井巷道的经过修正的S-V信道模型，并对其进行了仿真实验。     

短程脉冲无线信道特性仿真与分析

利用仿真语言对短程脉冲无线信道进行仿真研究。考虑短程脉冲无线传播环境为具有某一密度的随机分布的散射体,在一种理想情况下,信道传播环境表现为一个渗透网格。利用仿真语言仿真短程脉冲无线信道中多径分量的传播轨迹,通过脉冲无线信道的随机模型对短程脉冲无线信道特性进行仿真分析,仿真结果表明：利用该模型对短程脉冲无线信道仿真是有效的。     

概率方法预测特定环境超宽带信号功率分布

针对超宽带(UWB)信号在无线信道的传播特点,使用随机桥过程产生建模UWB信号多径分量传播轨迹的随机射线,构造出可以描述UWB信道特性的基本随机变量,由此得到预测信道中某个场点接收到的信号功率的概率方法.对一个典型室内传播环境中沿着任意路径接收的UWB信号功率进行仿真计算,结果表明预测功率分布概率方法的算法稳定.对传播环境中某个区域的功率分布进行计算,同时研究了不同分集接收方式对功率预测的影响.仿真结果表明,全Rake分集接收方式并不占优势;在分集接收的抽头数较少时,部分Rake分集接收和选择性Rake分集接收方式具有相似的分集接收效果.最后对接收点信号功率的分布进行统计分析,并对概率方法与射线追踪法进行了比较.     

超宽带室内参考信道模型的研究

通用且随机的超宽带室内信道模型对物理层标准评价、系统设计和性能分析起重要作用。本文首先介绍了超宽带室内信道的典型特征,然后在信道探测的基础上详细描述了超宽带室内参考信道模型,并结合具体超宽带室内环境对信道模型参数进行仿真,将仿真结果与探测信道统计特性进行比较,分析了信道模型结构对系统设计和性能分析的影响,指出超宽带室内参考信道模型的局限性,最后得出进一步研究超宽带室内信道模型的必要性。     

On the performance of using multiple transmit and receive antennas in pulse-based ultrawideband systems

This paper presents an analytical expression for the signal-to-noise ratio (SNR) of the pulse position modulated (PPM) signal in an ultrawideband (UWB) channel with multiple transmit and receive antennas. A generalized fading channel model that can capture the cluster property and the highly dense multipath effect of the UWB channel is considered. Through simulations, it is demonstrated that the derived analytical model can accurately estimate the mean and variance properties of the pulse-based UWB signals in a frequency-selective fading channel. Furthermore, the authors investigate to what extent the performance of the PPM-based UWB system can be further enhanced by exploiting the advantage of multiple transmit antennas or receive antennas. Numerical results show that using multiple transmit antennas in the UWB channel can improve the system performance in the manner of reducing signal variations. However, because of already possessing rich diversity inherently in the UWB channel, using multiple transmit antennas does not provide diversity gain in the strict sense [i.e., improving the slope of bit error rate (BER) versus SNR] but can possibly reduce the required fingers of the RAKE receiver for the UWB channel. Furthermore, because multiple receive antennas can provide higher antenna array combining gain, the multiple receive antennas technique can be used to improve the coverage performance for the UWB system, which is crucial for a UWB system due to the low transmission power operation.     

A new stochastic spatio-temporal propagation model (SSTPM) formobile communications with antenna arrays

In order to evaluate the performance of third-generation mobile communication systems, radio channel models are required. The models should be capable of handling nonstationary scenarios with dynamic evolution of multipath. In this context and due to the introduction of advanced antenna systems to exploit the spatial domain, a further expansion is needed in order to include the nonstationary characteristics of the channel. In an attempt to solve these problems, this paper presents a new stochastic spatio-temporal propagation model. The model is a combination of the geometrically-based single reflection and the Gaussian wide-sense stationary uncorrelated scattering models, and is further enhanced in order to be able to handle nonstationary scenarios. The probability density functions of the number of multipath components, the scatterers' lifetime, and the angle of arrival are calculated to support these features. The input parameters of the model are based on results from measurement campaigns published in the open literature     

Statistical Analysis of UWB Channel Correlation Functions

Various performance metrics of impulse-radio (IR) ultrawideband (UWB) receivers are closely connected to the correlation functions of the multipath channel responses to UWB pulses. Interpulse interference is related to the autocorrelation function (ACF) of the received pulse (RP), the RP energy and its fading correspond to the ACF at zero lag, and multiple access interference is connected to the cross-correlation function (CCF) between two channel pulse responses. Each realization of the multipath channel shows different correlation functions due to the ldquorandomnessrdquo of the UWB propagation environment. This paper derives the first- and second-order statistics of the ACF and CCF, capturing this randomness. Such results are useful for incorporating the multipath channel into the performance and design optimization studies of UWB systems. The analysis is based on a model of the received UWB pulse. The model describes the random channel response by two continuous functions of the excess delay time-one expresses the power, the other expresses power variations-and by a prototype pulse shape representing all linear system components including the band limitation of the RP and antenna effects. The analytical results are validated through the analysis of simulated and measured channel responses.