一种新型单块双频带通介质滤波器

为了得到质量小、品质因数(Q)值高和低温漂系数低的小型双频带通滤波器,提出了一种基于单块小型介质滤波器的设计方案。该滤波器由介质腔体和矩形介质谐振器组合而成,谐振器和腔体由同种材料构成,腔体内部不需要其他固定谐振器的措施,腔体外表面镀上一层金属银。通过用限元模拟软件法对滤波器结构进行仿真优化,得到滤波器的两个中心频率分别为3.18GHz和3.78GHz,两个频带的3dB带宽分别为60 MHz和23 MHz,在中心频率处回波损耗均低于-30dB。     

双频带介质集成波导滤波器的设计

介绍了一种双频带带通滤波器,该滤波器源与负载之间的两条通路用来实现两个频带,且滤波器每条通路的阶数和带宽都可以灵活设计。为了实现小体积且方便与平面电路集成,滤波器用介质集成波导设计,采用折叠排列,用微带馈电。另外在公共端设计金属通孔使两条通路同时达到阻抗匹配,使两条通路互不影响。在X至Ku频段内设计了两个双频带带通滤波器,这两个滤波器的中心频率均为11和13 GHz。设计的带宽为200,380,400和200 MHz。实测结果与仿真曲线较为吻合。     

直线型交叉耦合介质窄带滤波器的设计与制作

为了减小滤波器的体积和提高阻带衰减,研究了直线型交叉耦合介质窄带滤波器。介质滤波器由三个TE_(01δ)介质谐振器和两根倾斜45°或135°的金属杆组成,中间谐振器与两端谐振器互相垂直,金属杆位于相邻谐振器之间。分析了两根平行金属杆和正交金属杆产生传输零点的工作原理,并用传输路途相位差的方法来判断零点产生的位置。用HFSS仿真软件详细讨论了谐振频率、耦合系数和外部Qe值与滤波器结构参数的关系,优化了滤波器的结构参数。采用相对介电常数为45的介质陶瓷制作了两个三级介质滤波器,滤波器的中心频率分别为3.76 GHz和3.74 GHz,3 d B带宽分别为50 MHz和64 MHz,插入衰耗分别为0.77 d B和0.51 d B,传输零点分别位于低端和高端,偏离中心频率大约100 MHz,其衰减大于63 d B,测试的各项性能均达到了设计要求。     

28GHz新型介质谐振器带通滤波器

本文介绍一种轴对称结构新型介质谐振器带通滤波器,其中心频率为28.72GHz,带内插入损耗0.74dB,带外衰减33dB,该滤波器体积仅为常用的平行结构滤波器的1/4。     

双传输零点LTCC带通滤波器的设计与仿真

提出了一种新型的基于LTCC技术的带通滤波器实现方法。带通滤波器采用两个谐振单元耦合,在输入输出端引入并联反馈电容在通带两边形成一对传输零点,提高了阻带的衰减性能。分别在HFSS和IE3D中构建物理模型,采用εr=2.2的介质材料,尺寸为5 mm×4 mm×2 mm,设计出中心频率f0=1.6 GHz,相对带宽约9%的滤波器,通带内插入损耗小于1 dB,在1.1 GHz和2.1 GHz处形成两个传输零点,两种软件的仿真结果很好地吻合。     

双阻带单负介质在带通滤波器中的应用

提出一种具有双阻带特性的单负介质并据此设计出小型化高性能的带通滤波器。首先对该单负介质单元进行等效电路分析并利用散射矩阵进行等效磁导率的提取,揭示了该异向介质单元的带阻工作原理和验证了其等效电路分析的合理性;然后在此基础上研究介质单元的结构参数对其传输性能的影响,据此设计出中心频率为10 GHz的带通滤波器具有非常紧凑的尺寸(25 mm×22.86 mm×10.16 mm)以及具有小于0.16 dB的通带损耗和良好的阻带抑制性能,这是常规介质滤波器所无法比拟的。     

介质谐振器型带通滤波器机助优化设计

本文根据平面电路理论,采用Green函数本征函数展开法与多模传输矩阵技术,对介质谐振器型带通滤波器进行了机助优化设计,并且试制了样品,其实验值与计算结果吻合良好。     

周期介质结构传输特性的严格模匹配分析

用严格模匹配与多模网络理论相结合的方法,对几种周期介质结构的传输特性进行了深入的分析．包括两种有限长周期介质镜像波导滤波器;一种有限长变周期无辐射介质波导滤波器;一种无限长周期部分介质填充的矩形波导．实验结果表明该方法是精确有效的．     

LCP柔性HMSAFSIW带通滤波器设计与实现

基片集成波导(SIW)滤波器因具有高品质因数(Q值)、便于平面集成的优点,受到研究人员的青睐.但是,随着频率的不断提高,SIW基板的介质损耗会不断升高.为了克服以上难题,并且进一步缩小滤波器体积,基于柔性LCP基板,设计并实现了一款半模空气隙填充的基片集成波导(HMSAFSIW)带通滤波器.由于HMSAFSIW传输结构...     

厘米波段介质带通滤波器的设计与制作

为了提高基站的通信质量,研制了高性能的窄带介质带通滤波器。选择切比雪夫低通原型设计线路,采用6个环形介质谐振器直接耦合实现滤波器,输入输出采用探针耦合。用HFSS软件对滤波器的结构进行了仿真。用εr=38的高Q值介质陶瓷材料制作了环形谐振器,分析了衬垫材料的高度对环形谐振器性能的影响,测试了级间耦合系数。最后制作出中心频率为6GHz的介质带通滤波器,滤波器的带宽窄（0.5%）,插入损耗较小,阻带衰减很高,达到了国内先进水平。     

平坦响应空域滤波器和在DOA估计中的应用

本文依据半无穷维二次优化技术提出了一个设计平坦响应空域滤波器（ＳＦ）的新方法，基本思想是使用线性泛函不等式约束夺感兴趣的空域范围内保证ＳＦ响应的平坦性，同时使输出噪声功率最小化，由于使用了硬的线性泛函约束，ＳＦ响应总可以控制在充许的误差范围之内，最后研究了基于平坦响应的信号到达方向（ＤＯＡ）估计问题，计算机模拟结果和分析表明本文提出的基于平坦响应ＳＦ的ＤＯＡ估计性能优于其它有关方法的估计性能。     

基于张量滤波器的多波段红外目标辨识

红外多光谱成像在面对红外干扰和红外隐身时具有全色红外成像手段无法比拟的优势,通过目标在不同波段响应的差异,能有效地克服干扰和检测隐身目标.但传统基于向量的方法在处理多波段图像时没有有效地利用光谱和空间之间的相关性,通过在张量框架下设计辨识方法时,可以综合利用多光谱图像的光谱和空间特性.在设计张量辨识方法时,多光谱图像被...     

空间色噪声环境下双基地MIMO雷达角度和多普勒频率联合估计方法

该文提出了一种空间色噪声环境下双基地MIMO雷达角度和多普勒频率的联合估计方法。该方法利用相邻时刻匹配滤波器输出的互相关矩阵构造新矩阵,消除了空间色噪声的影响,通过对其进行奇异值分解(SVD)获得信号子空间,然后将相邻时刻匹配滤波器输出的时间相位差作为时间旋转因子,采用ESPRIT方法获得目标多普勒频率、波离方向(DOD)和波达方向(DOA)的联合估计。该方法没有阵列孔径损失,且所估计参数能够实现自动配对。计算机仿     

Application of the micro-genetic algorithm to the design of spatialfilters with frequency-selective surfaces embedded in dielectric media

We present an efficient method of optimizing spatial filters comprising of single and multiple frequency-selective surface (FSS) screens embedded in multilayered dielectric media. Two such filter designs are optimized via the micro-genetic algorithm (MGA) and their frequency responses are validated by alternate methods     

Estimation of motor unit conduction velocity from surface EMG recordings by signal-based selection of the spatial filters

Muscle fiber conduction velocity (CV) can be estimated by the application of a pair of spatial filters to surface electromagnetic (EMG) signals and compensation of the spatial filter transfer function with equivalent temporal filters. This method integrates the selection of the spatial filters for signal detection to the estimation of CV. Using this approach, in this paper, we propose a novel technique for signal-based selection of the spatial filter pair that minimizes the effect of nonpropagating signal components (end-of-fiber effects) on CV estimates (optimal filters). The technique is applicable to signals with one propagating and one nonpropagating component, such as single motor unit action potentials. It is shown that the determination of the optimal filters also allows the identification of the propagating and nonpropagating signal components. The new method was applied to simulated and experimental EMG signals. Simulated signals were generated by a cylindrical, layered volume conductor model. Experimental signals were recorded from the abductor pollicis brevis with a linear array of 16 electrodes. In the simulations, the proposed approach provided CV estimates with lower bias due to nonpropagating signal components than previously proposed methods based on the entire signal waveform. In the experimental signals, the technique separated propagating and nonpropagating signal components with an average reconstruction error of 2.9 +/- 0.9% of the signal energy. The technique may find application in single motor unit studies for decreasing the variability and bias of CV estimates due to the presence and different weights of the nonpropagating components.     

Design of 1-D and 2-D IIR eigenfilters

An effective method is proposed for the design of recursive digital filters in the time/spatial domain. The method is based on the computation of an eigenvalue and its corresponding eigenvector of an appropriate real symmetric and positive-definite matrix derived from the objective error function of the impulse response in the least-squares sense. The method can be used to design 1D IIR digital filters as well as 2D IIR digital filters. The method is easy and the performance is comparable to those of the existing methods. One of the main advantages of the proposed method is that the solution is obtained directly without the need for iteration     

高光谱图像光谱域噪声检测与去除的DSGF方法

高光谱遥感图像中不仅存在空间域噪声而且存在光谱域噪声.传统的图像滤波仅对图像空间域噪声进行处理,而不能去除光谱域噪声,为改进这种状况,提出了DSGF(Derivative based Savitzky-Golay F ilter)方法.首先,基于反射率光谱的二阶导数对反射率光谱各波段噪声大小进行判定,然后用不同大小平滑窗的Savitzky-Golay滤波器对反射率光谱作两步滤波.对高光谱图像进行的逐像元DSGF滤波,在去除光谱域中噪声的同时,保留了图像反射率光谱的大部分细微特征.     

基于Gabor小波和神经网的人脸检测

论文提出了一种基于Gabor滤波特征和的正面人脸检测方法。算法首先利用了Gabor滤波器的良好的空间位置与方向的选择特性,采用了四种方向的Gabor滤波器提取人脸样本图像特征并送入神经网路进行训练。实验结果证明该方法行是十分有效的。     

基于空间直方图的海杂波背景下红外目标跟踪

空间直方图融合了目标的灰度分布信息和灰度的空间分布信息,比传统的灰度直方图更具有目标鉴别能力。为实现海杂波背景下稳健跟踪红外目标,本文在基于粒子滤波算法的红外目标跟踪系统框架中,将加权样本集表示红外目标的状态后验概率分布;采用简单的随机漂移模型表示系统状态模型;利用目标区域的空间直方图描述红外目标,其中通过核概率密度估计建立红外目标的灰度分布,然后统计灰度分布的空间信息建立空间直方图;通过空间直方图的相似度定义来建立系统观测概率模型,最终提出一种在海杂波背景下的基于空间直方图的粒子滤波红外目标跟踪算法。实     

A novel approach for estimating muscle fiber conduction velocity by spatial and temporal filtering of surface EMG signals

We describe a new method for the estimation of muscle fiber conduction velocity (CV) from surface electromyography (EMG) signals. The method is based on the detection of two surface EMG signals with different spatial filters and on the compensation of the spatial filtering operations by two temporal filters (with CV as unknown parameter) applied to the signals. The transfer functions of the two spatial filters may have different magnitudes and phases, thus the detected signals have not necessarily the same shape. The two signals are first spatially and then temporally filtered and are ideally equal when the CV value selected as a parameter in the temporal filters corresponds to the velocity of propagation of the detected action potentials. This approach is the generalization of the classic spectral matching technique. A theoretical derivation of the method is provided together with its fast implementation by an iterative method based on the Newton's method. Moreover, the lowest CV estimate among those obtained by a number of filter pairs is selected to reduce the CV bias due to nonpropagating signal components. Simulation results indicate that the method described is less sensitive than the classic spectral matching approach to the presence of nonpropagating signals and that the two methods have similar standard deviation of estimation in the presence of additive, white, Gaussian noise. Finally, experimental signals have been collected from the biceps brachii muscle of ten healthy male subjects with an adhesive linear array of eight electrodes. The CV estimates depended on the electrode location with positive bias for the estimates from electrodes close to the innervation or tendon regions, as expected. The proposed method led to significantly lower bias than the spectral matching method in the experimental conditions, confirming the simulation results.