The TR-UWB receiver based on spatial diversity

This paper presents a new Transmitted Reference (TR) Ultra-WideBand (UWB) receiver based on Spatial Diversity (SD), which employs Multi-Antenna Technology (MAT) to improve the performance of TR-UWB receiver. According to the amplitude of correlator output of every antenna branch, this paper analyzed the performances of the proposed TR-UWB receiver employing three different kinds of combina-tion strategies, i.e., Maximum Ratio Combination (MRC), Equal Gain Combination (EGC), and Selective Combination (SC), which are different from conventional ones, and theoretically proved that the performance of EGC is better than MRC. Simulation results verify that when EGC is adopted and BER=10–3, increasing three antennas provides Signal to Noise Ratio (SNR) gain of about 3 dB in CM4 channel and SNR gain of about 2 dB in CM2 channel.     

Aggregate volumetric estimation based on PCA and momentum-enhanced BP neural network

This paper proposes a Back Propagation (BP) neural network with momentum enhance-ment aiming to achieving the smooth convergence for aggregate volumetric estimation purpose. Net-work inputs are first selected by optically measuring the eight geometry-related parameters from the given particle image. To simplify the network structure, principal component analysis technique is applied to reduce the input dimension. The specific network structure is finalized based on both em-pirical expertise and analysis on selecting the appropriate number of neurons in hidden layer. The network is trained using the finite number of randomly-picked particles. The training and test results suggest that, compared to the generic BP network, the training duration of the proposed neural network is greatly attenuated, the complexity of the network structure is largely reduced, and the es-timation precision is within 2%, being sufficiently up to technical satisfaction.     

基于人工鱼群优化的光网络攻击感知路由算法

针对光网络中的安全路由问题,通过采用 MaxLAR(最大光路攻击半径)准则,运用人工鱼群算法的快速搜索和全局寻优能力,提出了一种新的基于人工鱼群优化的光网络攻击感知路由算法。该算法可找出在给定条件下光路中最小的 Ma x-LAR,可增强光网络的攻击预防能力,减少潜在物理层攻击对光路造成的可能损伤。算法分析及 Benchmark测试函数实验表明,该算法是可行的,且取得了较好的性能。     

基于DSP的空时编码盲识别设计和实现

提出了一种基于TigerSHARC TS201S实现的MIMO系统空时编码盲识别方法的设计与实现,该设计能够在非合作条件下,利用空时编码在时间分集和空间分集下,所表现出的不同时滞相关性,实现盲识别空时编码方式。天线接收信号经过预白化,时滞相关度计算,最终利用码字表判决输出。经验证,该系统性能稳定,易于实现,且对空时编码方式具有较高的盲识别精度。     

电子倍增CCD噪声参数的估计方法

为定量评价电子倍增CCD(EMCCD)图像噪声的大小,实现对EMCCD 图像噪声参数的准确估计,研究了EMCCD 的噪声分布模型及其参数估计方法。首先,讨论了EMCCD 图像的噪声来源及其统计特性,由此建立了适于EMCCD 的噪声分布模型。然后,提出了两种EMCCD 噪声参数估计方法矩估计法和高斯-牛顿法,采用Monte Carlo 仿真验证其性能。仿真结果表明,矩估计法和高斯-牛顿法的平均相对误差和相对标准偏差均为10-2 量级,估计精度较高,且高斯-牛顿法的估计精度要高于矩估计法。采集一系列无增益时积分时间为50 s的暗场图片和增益为50 的本底图片,利用矩估计法和高斯-牛顿法分别估计出EMCCD 的暗电流噪声、时钟感生电荷噪声和读出噪声,实验结果表明,估计值与EMCCD 指标值一致,证明矩估计法和高斯-牛顿法能有效估计噪声参数且具有较高的精度。     

中小型酒店客房管理信息系统设计

酒店客房管理信息系统能够使中小型酒店更好地适应网络信息化的发展,提高现代化管理水平,因此针对中小型酒店开发一套简单实用的客房管理信息系统十分必要。本文首先介绍了系统开发的背景和开发环境,然后在对系统进行需求分析、可行性分析、流程分析的基础上展开了系统的设计,进行了功能模块的划分以及数据库设计。     

基于陷阱检测的咬尾卷积码译码算法

该文分析了循环维特比算法(CVA)中存在的循环陷阱问题,并证明了传统基于CVA的咬尾卷积码译码算法中存在的不足,提出了一种高效率的咬尾卷积码译码算法。该算法通过检测两次不同迭代中获得的两条最大似然路径是否相同来判断是否有循环陷阱产生,并及时终止循环,减少冗余迭代;在没有循环陷阱产生的情况下,新算法比较当前迭代中最大似然路径和已经发现的最优咬尾路径是否相同来自适应终止迭代。文中对循环陷阱检测方案和自适应终止方案做了进一步优化,即利用路径的净增量而非路径本身作为检测量。实验结果表明新算法提高了译码效率,降低了译码复杂度。     

Analog Circuit Fault Detection Using Location of Poles

A method for detection of parametric faults occurring in linear analog circuits based on location of poles of the Circuit Under Test (CUT) is proposed. In the proposed method, the value of each component of the CUT is varied within its tolerance limit using monte carlo simulation. The upper and lower bounds of magnitude, phase angle, real part and imaginary part of all poles of the CUT are obtained. While testing, the locations of poles are obtained. If any one or more of the poles lies outside the tolerance limit then the CUT is declared faulty. The effectiveness of the proposed method is validated through two benchmark circuits like second order sallenkey band pass filter and fourth order leapfrog low pass filter.     

Dual-Color InAs/GaSb Superlattice Focal-Plane Array Technology

Within a very few years, InAs/GaSb superlattice technology has proven its suitability for high-performance infrared imaging detector arrays. At the Fraunhofer Institute for Applied Solid State Physics (IAF) and AIM Infrarot-Module GmbH, efforts have been focused on developing mature fabrication technology for dual-color InAs/GaSb superlattice focal-plane arrays for simultaneous, colocated detection at 3 μm to 4 μm and 4 μm to 5 μm in the mid-wavelength infrared atmospheric transmission window. Integrated into a wide-field-of-view missile approach warning system for an airborne platform, a very low number of pixel outages and cluster defects is mandatory for bispectral detector arrays. Process refinements, intense root-cause analysis, and specific test methodologies employed at various stages during the process have proven to be the key for yield enhancements.     

Characterization of Micro-Powders for the Fabrication of Compression Molded THz Lenses

We investigate different micro-powders that can be used as base materials for THz lenses fabricated by compression molding. For this application materials with a very weak THz absorbance and low dispersion are required. By measuring the THz absorption coefficient and refractive index of pellets pressed from the different micro-powders, we identify several materials that are well suited for the fabrication of compression molded THz lenses (CMLs). In addition, a considerable range of the refractive index is covered by the samples, which will allow for the fabrication of CMLs with different focal lengths for one and the same lens design.