室内定位技术及应用综述

室内定位技术作为当前的研究热点,对军事、经济以及人们的日常生活产生了深远的影响。文中首先介绍了室内定位技术的应用背景以及发展方向,以及室内环境进行定位面临的主要难点。然后介绍了目前主要的定位算法,包括邻近信息、场景分析和几何定位算法,以及各种算法衍生出来的各种定位技术。最后指出了室内定位技术亟待解决的问题,以及下一步进行相关研究的突破口。     

考虑链路负载均衡和容量限制的WDM光传送网保护设计

网络的生存性是WDM光传送网设计时必须考虑的问题.在叠加(Overlay)模式的网络构架中,由于光路之间存在的依赖性,物理网络的单链路失效可能会造成虚拓扑不连通而使上层网络(SDH、ATM或IP)无法使用自身的恢复机制来恢复受影响的业务,因此虚拓扑在嵌入物理拓扑时必须避免发生这种情况.本文提出的VTMPD算法就是针对这一问题的保护设计算法.此算法同时考虑了物理链路的负载均衡和容量限制.我们还给出了VTMPD算法和已有的DAP算法的性能对比,测试数据表明VTMPD算法优于已有的DAP算法.     

9.7 GHz small-signal bandwidth of three-quantum well GaInNAs/GaAs laser diodes operating at 1.35 /spl mu/m

High frequency characterisation of three-quantum well GaInNAs/GaAs lasers operating at 1.35 /spl mu/m is reported. A relaxation frequency as high as 7.4 GHz and a 9.7 GHz small-signal bandwidth are demonstrated, indicating the potential for high bit rate (10 Gbit/s) direct modulation of these dilute nitrides on GaAs devices.     

一种改进的基于Radon变换的运动模糊图像参数估计方法

运动模糊是导致图像降质的最常见因素之一.此类图像的复原很大程度上取决于对点扩散函数的准确估计.对于匀速直线运动的模糊图像,运动方向和模糊尺度是确定点扩散函数的两个关键参数.介绍了Radon变换的数学原理及用其估计运动模糊方向的思路、步骤;针对实际拍摄的模糊图像频谱中严重影响原算法的十字亮线现象,分析了其成因,并提出了一种改进算法.算法根据十字亮线的特性,采用频谱分块的思想以消除检测干扰.实验结果验证了算法的正确性和有效性.     

非局部联合稀疏近似的超分辨率重建算法

该文结合联合稀疏近似和非局部自相似的概念,提出非局部联合稀疏近似的超分辨率重建方法。该方法将输入图像的跨尺度高、低分辨率图像块统一进行联合稀疏编码,建立它们之间的稀疏关联,并将这种关联作为先验知识来指导图像的超分辨率重建。该文方法保证跨尺度自相似集具有相同的稀疏性模式,能更有效地利用图像的自相似性先验信息,提高算法的自适应性。通过自然图像实验,与其它几种基于学习的超分辨率算法对比,超分辨率效果有较好改善。     

多用户OFDM系统中高效的资源分配算法

在多用户正交频分复用（MU-OFDM）系统中，为了降低系统性能损失和最小化总发射功率，文中提出了一种改进的、具有自适应能力的高效子载波分配和功率分配算法。该算法具有更好的性能和近似于已有算法的计算复杂度，而且通过仿真结果得到了证明。     

Frequency Sensitivity and Electromechanical Propagation Simulation Study in Large Power Systems

A global view of power system's frequency behavior opens up a new window for analyzing system's dynamics. With the aid of global positioning system, measurements from different locations would have synchronous time; therefore a system-wide observation and analysis would be possible. As part of the US-wide power frequency monitoring network project this paper focus on simulation study results of power frequency dynamics of the Eastern U.S. system. The study assesses the frequency measurement accuracy needed to observe frequency dynamics from events such as remote generation drops. Electromechanical-wave propagation phenomena during system disturbances have been observed. The speeds of electromechanical-wave propagation in different areas of the U.S. systems were estimated and their characteristics were discussed.     

Relating forest biomass to SAR data

The authors present the results of an experiment defined to demonstrate the use of radar to retrieve forest biomass. The SAR data were acquired by the NASA/JPL SAR over the Landes pine forest during the 1989 MAESTRO-1 campaign. The SAR data, after calibration, were analyzed together with ground data collected on forest stands from a young stage (eight years) to a mature stage (46 years). The dynamic range of the radar backscatter intensity from forest was found to be greatest at P-band and decreased with increasing frequencies. Cross-polarized backscatter intensity yielded the best sensitivities to variations of forest biomass. L-band data confirmed past results on good correlation with forest parameters. The most striking observation was the strong correlation of P-band backscatter intensity to forest biomass     

Synchronization controller for a 3-R planar parallel pneumatic artificial muscle (PAM) robot using modified ANFIS algorithm

Parallel manipulator is a closed-kinematic chain mechanism in which performance of its end effector – moving platform is contributed by its independent actuators. In traditional designs, each elemental actuator has its own controller as well as reference input, and it works independently without gathering information from its neighbors. Consequently, as one of the actuators cannot keep up with the others, the platform performance is easily deteriorated due to the lack of coherence between these actuators. Therefore, the aim of this paper is to design a 3-R planar parallel robot and develop a proper synchronization controller for its tracking control task. Adaptive Network Based Fuzzy Inference System (ANFIS) algorithm was modified and applied as the main strategy of this synchronization controller. The controller is then able to compensate errors between the actuators and enforce them to cooperate harmonically with each other regardless external disturbances caused by the outside environment or geometrical constraints of the closed-loop structure. Simulations and practical experiments on a scaled parallel robot were carried out to evaluate the designed controller. The results showed that by applying the proposed control technique, the working errors of the component actuators converged quickly to zero almost at the same time. As a result, the tracking performance of the common platform was significantly improved in comparison with the performance when applying a non-synchronization controller. The proposed method is effective in controlling systems which require collaborations between the sub-agents.     

Epitaxial liftoff microcavities for 1.55-μm quantum-well spatiallight modulators

Microcavities operating at 1.55 μm have been realized according to the epitaxial liftoff (ELO) technique. The process is described and characterized. No significant variation of the optical properties of the grafted devices has been found. The technique is then applied to a spatial light modulator made by inserting a 3-μm multiple-quantum-well device in a short asymmetric Fabry-Perot microcavity. An enhancement by a factor 1000 of the performances of the switching component is obtained. The input diffraction efficiency reaches 2% in a degenerated four wave mixing configuration with a pulse energy of 1 μJ/cm² and without any applied electric field