基于FCC室内辐射掩蔽的跳时脉冲位置调制UWB系统仿真

传统跳时脉冲位置调制(THPPM)系统未考虑系统在全频段的利用率,为此,提出了一种提高系统频谱利用率的方法.基于FCC室内辐射掩蔽,通过组合1～13阶高斯脉冲,设计了一种逼近规范的组合脉冲,建立了使用该组合脉冲的THPPM通信系统仿真模型,给出了接收信号与掩膜的仿真波形和模型内部结构图.与使用传统脉冲滤波器的系统频谱利用率进行了分析和比较,仿真结果表明,通过应用组合脉冲显著提高了系统在全频段的利用率.此外,对Simulink设计的模块进行封装,独立组建了超宽带模块库,简化了仿真过程,扩展了Simulink在超宽带方面的应用.     

基于切比雪夫函数逼近的超宽带脉冲设计方法

频谱共存与兼容问题是超宽带无线通信领域必须解决的一个关键问题.为了避免超宽带系统对现有窄带无线系统的干扰,一个有效的设计方法是设计适合传输的脉冲波形.将超宽带脉冲波形设计问题等效为切比雪夫函数逼近问题,利用数值分析中Remez算法,通过一次次迭代可以获得满足要求的超宽带脉冲.Matlab仿真结果表明,用这种方法设计的脉冲功率谱符合目标频谱掩模的约束要求,在二进制脉冲位置调制跳时超宽带系统中,这种脉冲在高斯信道下单链路误比特率和多用户等方面的性能要优于高斯二阶导数脉冲.     

TH-UWB系统抗干扰性能研究

从频域角度探讨TH-UWB系统对窄带干扰的抑制能力,采用信号功率谱分析方法,研究UWB系统的调制技术和脉冲成形技术,提出线性组合高斯单周脉冲设计陷波频谱.理论分析及计算机仿真结果表明,合理选择超宽带信号调制方式和脉冲,可在一定程度上提高超宽带系统抗干扰能力.应用提出的线性组合高期单周脉冲作为UWB发射信号,可以有效减小UWB信号对外界的干扰.     

超宽带信号功率谱的仿真分析

超宽带(UWB)信号及其功率谱分布是研究超宽带通信系统与其它通信系统频谱共存与兼容问题时,需要考虑的重要因素.根据超宽带信号功率谱的特点,从控制超宽带信号功率谱分布的角度,就高斯单周期脉冲及其各阶导函数、不同的信息调制方式和跳时码参数对超宽带信号功率谱的影响,进行了计算机仿真和分析,并总结出控制超宽带信号功率谱分布的方法,从而为解决超宽带通信系统与其他通信系统频谱共存问题,提供了有益的思想和方法.     

基于Parks-McClellan算法的超宽带脉冲设计

提出一种基于Parks-McClellan算法设计超宽带脉冲的方法,将脉冲设计等效为切比雪夫函数逼近问题。设计方法简单灵活,可满足各种幅频特性要求。Matlab仿真结果表明所设计脉冲的功率谱充分满足FCC频谱掩模要求并且频带利用率较高。     

基于有源频谱压缩结构码域发送参考的Chirp超宽带捕获算法研究*

根据Chirp超宽带系统原理和思想,给出了一种基于有源频谱压缩和FFT频域检测的新捕获算法。该算法通过有源频谱压缩将Chirp信号转换成差频信号,再通过FFT进行频偏估计,结合滑动相关判决实现捕获。该捕获方法具有实现结构简单、采样速率低、便于进行通信距离的扩展等优点。理论分析和仿真结果表明了该捕获方法具有很强的实用价值。     

超宽带传输参考接收机研究

针对超宽带传输参考接收机模板信号包含噪声的问题,引入了一种新型的超宽带传输参考接收机结构,重点分析了该接收机的原理及性能。通过仿真验证,该新型的超宽带传输参考接收机性能相比平均超宽带传输参考接收机有很大提升。     

采样率逼近信号带宽的采样方法研究

对采样率低于奈大斯特采样率时信号频谱混叠规律作了研究。基本这一规律，提出一种采样率逼近信号带宽的双采样方法，并给出了原始信号频谱的算法。该方法不仅发展了采样理论，而且对软件无线电的宽带高速采样有借鉴意义。通过对信号的仿真，证明了该方法（算法）的正确性和可行性。最后就如何实现提出了两种方案，具有参考     

周期信号加时窗后的频谱分析与仿真研究

研究工作中用EDA工具对周期性信号作频谱分析问题时,由此得到的频谱分析与周期性信号频谱的理论分析存在着一定的偏差.理论的信号幅度谱具有谐波性,是离散的谱线,而仿真环境下的谱线在频率点有畸变.通过信号谱分析的理论,结合EDA仿真工具分析的特点,将两种频谱分析的偏差来源归结于周期信号的时域加窗效应.分析r频谱产生偏差的原因,并对理论分析谱和仿真分析谱的特点给予归纳.最后的仿真分析也证实了给出的分析结果.     

超宽带无线电UWB无线技术频谱管理及应用

从无线电频谱管理及频谱有效利用的角度描述了世界主要发达国家对超宽带无线电 UWB 无线技术的应用现状,提出了我国制定 UWB 技术频谱模板的基本出发点与考虑因素,以促进超宽带无线电 UWB 在我国的发展与应用。     

一种新的UWB脉冲设计方法与性能分析

提出了一种新的超宽带脉冲的设计方法。采用不同幅度和延迟的高斯脉冲的组合来拟合抽样函数脉冲,实现了超宽带辐射掩蔽的高效逼近。该方法产生的脉冲波形具有实现简单、持续时间短、容易进行时域或频域调节等特点。在介绍设计原理的基础上,给出了设计时域波形的具体实现及波形所对应的功率谱密度图,使其满足辐射掩蔽的要求。最后,分析了TH-PPM UWB系统的传输性能,并和最佳单周期高斯波形进行了详细的比较,结果表明其误码性能远远优于最佳单周期高斯波形。     

基于修正Hermite函数的UWB最优脉冲设计

首先对修正Hermite函数n阶导数的能量归一化与脉冲形状参数α、n的关系进行了研究,根据美国联邦通信委员会（FCC）对超宽带（UWB）脉冲的有关辐射掩蔽的标准提出了设计UWB脉冲的新方法,通过N个修正Hermite函数的线性组合来得到最优波形。仿真结果表明优化脉冲能够接近于辐射掩蔽,使得传输功率在低于FCC限定的条件下取得更大值。     

Pulse shaping method to compensate for antenna distortion in ultra-wideband communications

In the ultra-wideband (UWB) communication systems, a critical spectral mask is released to restrict the allowable interference to other wireless devices by the Federal Communications Commission (FCC), and then some pulse shaping methods have been presented to fulfil the mask. However, most pulse shaping methods do not consider the antenna distortion which cannot be neglected in the UWB communication systems compared with the conventional systems. To this end, an orthogonal wavelet based pulse shaping method is proposed in this paper to integrate compensation of antenna distortion into pulse shaping. Simulation results show that the novel pulse shaping method can be used to achieve compensation for antenna distortion, optimization of transmission power spectrum, and simplification of the algorithm, as well as simple implementation of the pulse generator.     

Analysis and design of echo state networks

The design of echo state network (ESN) parameters relies on the selection of the maximum eigenvalue of the linearized system around zero (spectral radius). However, this procedure does not quantify in a systematic manner the performance of the ESN in terms of approximation error. This article presents a functional space approximation framework to better understand the operation of ESNs and proposes an information-theoretic metric, the average entropy of echo states, to assess the richness of the ESN dynamics. Furthermore, it provides an interpretation of the ESN dynamics rooted in system theory as families of coupled linearized systems whose poles move according to the input signal dynamics. With this interpretation, a design methodology for functional approximation is put forward where ESNs are designed with uniform pole distributions covering the frequency spectrum to abide by the richness metric, irrespective of the spectral radius. A single bias parameter at the ESN input, adapted with the modeling error, configures the ESN spectral radius to the input-output joint space. Function approximation examples compare the proposed design methodology versus the conventional design.     

基于等效面积法的UWB天线设计

探讨了应用于单极子天线设计的圆柱体近似方法。主要阐述了1种用等效面积法设计超宽带（UWB）天线的方法,并仿真设计了一款抛物闭合面曲面的UWB天线。与传统方法相比,大大降低设计费用和计算量,且易于工程实现。通过仿真的阻抗带宽和辐射方向图,发现该方法设计的天线在整个带宽内辐射方向图比较一致,且有较好的全向辐射特性。     

Approximation of an arbitrary filter and its recursive implementation

Filtering is one of the important techniques in computer vision. It has been widely used in edge detection, image restoration, range image segmentation, etc. However, the efficient implementation of an arbitrary filter has been a challenging problem until now. In this paper, a novel method is proposed to implement an arbitrary filter. Firstly, an efficient recursive structure is proposed to implement any (polynomial) × (exponential)-type (PET) filter. The computational complexity and structure are independent of its filter mask size or its bandwidth. Secondly, a new method is proposed—Lagurre spectrum decomposition method—to obtain the PET approximation of any filters. As an example, the above method is applied to the approximation and implementation of Gaussian filters and experiments have shown that a perfect approximation can be obtained with only third-order Lagurre bases, and therefore only a fourth-order recursive filter is needed to implement Gaussian filters. Finally, the comparison of the present method with the known ones shows that (1) Lagurre polynomial bases are orthogonal with each other, so the filter approximation is simple, (2) the bases are complete and the completeness guarantees the approximation error can be reduced to zero, (3) the method can be used to design both Gaussian and any other filters.     

Second moment approximation in structural design using a programmable calculator

A second moment point approximation for any well behaved function of a random vector was programmed in a pocket calculator and with it the stiffness matrix of a beam element and the optimum spectral acceleration for a structure design are computed taking into account parameter uncertainty. The usefullness of pocket programable calculators in engineering design is demonstrated.     

语音噪声压缩新算法

本文提出了一种基于VAD的语音噪声抑制方法。这种新算法源于VAD技术及谱减法,它先对含噪声信号进行VAD处理,而后是基于感知掩蔽阈值的谱减法运算,降低噪声,获得清晰的增强信号。与其它算法相比,其效果更好,语音听测试证明了这一点。     

Single-Channel Speech Separation Using Soft Mask Filtering

We present an approach for separating two speech signals when only one single recording of their linear mixture is available. For this purpose, we derive a filter, which we call the soft mask filter, using minimum mean square error (MMSE) estimation of the log spectral vectors of sources given the mixture's log spectral vectors. The soft mask filter's parameters are estimated using the mean and variance of the underlying sources which are modeled using the Gaussian composite source modeling (CSM) approach. It is also shown that the binary mask filter which has been empirically and extensively used in single-channel speech separation techniques is, in fact, a simplified form of the soft mask filter. The soft mask filtering technique is compared with the binary mask and Wiener filtering approaches when the input consists of male+male, female+female, and male+female mixtures. The experimental results in terms of signal-to-noise ratio (SNR) and segmental SNR show that soft mask filtering outperforms binary mask and Wiener filtering.