WLAN广域覆盖技术及应用策略研究

目前,WLAN的主要建设模式以室内独立放装和室分系统合路方式为主,室外广域覆盖模式应用策略不明确,规划建设不是很成熟。对WLAN广域覆盖存在的问题和解决思路进行了研究,并进行了大量的测试工作,对测试结果进行了深入分析,最终给出了WLAN广域覆盖的应用建议。     

ARM多维天线阵控制系统的设计

介绍基于ARM和CPLD的多维天线阵控制系统的设计。系统采用串行通信方式,用ARM嵌入式系统与CPLD相连接取代传统上采用的计算机连接CPLD方式的控制,由于ARM的运用使系统控制阵列天线更具智能化、应用程序更简化,CPLD的使用大大增加了与外设相连接的引脚数,满足了项目中对多条控制线的需求。作为主控制器的ARM取代了PC机,ARM具有体积小、集成度高、运算速度快、存储器容量大、功耗低等特点,节约了项目成本,缩小了整机体积,增强了系统的稳定性和灵活性,在实际应用中取得了理想的效果。     

Face recognition using adaptively weighted patch PZM array from a single exemplar image per person

Though numerous approaches have been proposed for face recognition, little attention is given to the moment-based face recognition techniques. In this paper we propose a novel face recognition approach based on adaptively weighted patch pseudo Zernike moment array (AWPPZMA) when only one exemplar image per person is available. In this approach, a face image is represented as an array of patch pseudo Zernike moments (PPZM) extracted from a partitioned face image containing moment information of local areas instead of global information of a face. An adaptively weighting scheme is used to assign proper weights to each PPZM to adjust the contribution of each local area of a face in terms of the quantity of identity information that a patch contains and the likelihood of a patch is occluded. An extensive experimental investigation is conducted using AR and Yale face databases covering face recognition under controlled/ideal conditions, different illumination conditions, different facial expressions and partial occlusion. The system performance is compared with the performance of four benchmark approaches. The encouraging experimental results demonstrate that moments can be used for face recognition and patch-based moment array provides a novel way for face representation and recognition in single model databases.     

Real-Time GPU Silhouette Refinement using Adaptively Blended Bézier Patches

We present an algorithm for detecting and extracting the silhouette edges of a triangle mesh in real time using Graphical Processing Units (GPUs). We also propose a tessellation strategy for visualizing the mesh with smooth silhouettes through a continuous blend between Bézier patches with varying level of detail. Furthermore, we show how our techniques can be integrated with displacement and normal mapping. We give details on our GPU implementation and provide a performance analysis with respect to mesh size.     

无线Mesh网络技术及其应用

作为一种新型无线技术,Mesh网络技术的拓扑结构、关键技术及应用领域一直以来备受关注。通过分析它的多级跳点系统拓扑结构,可以总结出它比传统无线网络具有更大的容量、速率和覆盖范围;它涉及了智能天线、MAC层多址访问等一系列关键技术,应用领域十分广泛。     

MIMO-CDMA子选择系统设计及性能分析

多用户MIMO-CDMA是MIMO技术领域研究的最新成果,MIMO-CDMA系统可以显著地提高系统的容量和BER性能。但系统复杂度高,而天线选择技术可以大大降低MIMO-CDMA系统实现复杂度。设计了一种基于帧结构的MIMO-CDMA接收端子选择系统仿真平台,分析和比较了在MBER、MMI和MNP等不同选择准则条件下的系统性能,并对仿真结果进行了评价。     

校园多媒体课堂门禁设计

采用MIFARE完成IC读卡器射频天线相关的设计,提出具体射频天线和对应匹配电路的设计要求,以达到无接触式读卡通信的最佳性能.对射频卡的数据结构,数据传输的方式,相关的时序,典型电路的设计参数,匹配电路,电磁兼容性电路,数据安全性与完整性,门禁控制方式等进行了详尽地探讨,并给出了一个根据射频天线接口电路理论和无接触读卡通信协议设计出校园多媒体课堂的门禁系统.非接触式高频射频卡用于门禁系统,克服了传统门禁功能单一,升级困难,保密性差的缺点,是各类门禁系统的发展方向.     

黄金分割法结合UTD计算机载天线方向图

机载天线辐射特性的研究,对机载天线的一体化设计、布局以及机载电子系统的电磁兼容性(EMC)具有非常重要的意义.应用一致性几何绕射理论(UTD)分析机载天线的辐射特性,利用黄金分割法(0.618法)优化二阶射线寻迹,并考虑了遮挡的判断问题,提高了运算的速度和精度.以机载单极子天线为例.给出了机载天线远场方向图的仿真结果.结果比较令人满意,证明了方法是正确的,并对机载天线耦合分析有一定参考意义.     

一种新型套筒天线宽频特性的HFSS仿真分析

针对传统套简单极子天线结构变量复杂、要做到3:1的频带宽度难的问题,利用电抗补偿方法设计了一款位于特殊接地铜管上的双层套筒偶极子天线,并利用HFSS软件对结构进行仿真分析,找到影响频带及反射特性的结构参数,通过软件自带的优化功能,对各个参数进行仿真优化,得到工作在800-960MHz,1710-1920MHz,2400-2483MHz频带范围内驻波系数低于1.5的实用套筒天线结构,包含目前移动通信所用频带:2G、3G和WLAN.天线在同一个结构上实现多频工作,且在各个频段内反射很小,节省了天线资源,利于系统集成.     

Robust DOA estimation and target docking for mobile robots

Direction of arrival (DOA) guided automated target acquisition and docking system is proposed for mobile robots employing the dual-directional antenna system. The dual-directional antenna estimates the DOA of the signal of interest using the ratio of the signal strengths between two adjacent antennas. In practice, DOA estimation poses a significant technical challenge, since the RF signal is easily distorted by the environmental conditions. Therefore, the robot often loses its way in an electromagnetically disturbed environment. To cope with this problem, a robust DOA estimation algorithm is developed based on Kalman filtering. This algorithm allows the robot to reduce the potential error in the estimated DOA, and adjust the robot’s heading to the target transponder without needing to know the positions of current and previous measurements in a global coordinate system. The simulation and experiment results clearly demonstrate that the mobile robot equipped with the developed system is able to dock to a target transponder in an indoor environment partially occupied by obstacles.