Design of the low power wake-up receiver for internet of things communication

A wake-up receiver with high energy efficiency and low power consumption is proposed for solving the power consuming problems of wireless nodes communication in the Internet of Things. The proposed wake-up receiver based on the wake-up mechanism can effectively schedule the network nodes communication, and use the simple envelope detection structure to achieve frequency down-conversion, which can flexibly manage energy and reduce power consumption. Based on UMC 65nm CMOS process technology, the wake-up receiver is designed and simulated. The results show that it can achieve S₁₁ of -21dBm and a sensitivity of -75dBm at a data rate of 1Mb/s, when operating at the central frequency of 780MHz and input signal adopting an on-off keying (OOK) modulation, and the power consumption is 82μW at 1.2V voltage supply.     

Interface trap effect on the transient characteristics of a photovoltaic InSb infrared detector

The transient characteristics can be significantly affected by the interface trap. In order to reveal the intrinsic mechanism and provide some references for the design of detectors, the interface trap effect on the transient characteristics of a back-illuminated photovoltaic InSb infrared detector is studied with two-dimensional simulations. The relationships between interface traps and some key physical parameters, such as the hole concentration, the recombination rate and the electric field, are analyzed to reveal the intrinsic mechanisms of the influence of the interface traps on the transient characteristics. Studies show that with the increase of the interface trap density, the recombination rate and the electric field near the interface increase, the hole concentration decreases, and the “black holes” in current density distribution appear and move forward to the pn junction. And the transient photoresponse decreases with the increase of the interface trap density.     

面向车辆识别的样本自反馈式级联检测方法

以解决机器学习的样本提取问题、提高车辆识别的精度为目的,以Adaboost算法、级联检测方法、样本自反馈方法为基础,提出了一种面向车辆识别的样本自反馈式级联检测方法。方法兼具Adaboost级联检测器的架构优势和样本自反馈方法的样本扩充能力。通过前车图像的识别实例阐述了样本自反馈式级联检测方法的识别过程,进而使用常规Adaboost检测器和样本自反馈式级联检测方法对图像数据集进行了识别,将生产者精度、用户精度、总体识别精度、k值作为评价指标对识别效果进行了比较,证明了样本自反馈式级联检测方法具有较高的识别精度。分析了样本自反馈式级联检测方法个别评价指标较低的原因,提出了相应问题的解决思路。     

基于四象限探测器的红外导引头目标捕获和跟踪系统

设计的红外导引头主要为激光半主动制导半实物仿真系统的目标捕获装置,它的性能直接影响整个半实物仿真系统的定位精度。首先在详细分析了导引头的性能指标基础上设计一套红外导引头的光学系统,并用ZEMAX验证了光学系统设计的可行性;同时设计了四象限探测器的处理及采集电路,实现了目标方位信息的捕获;最后结合三轴运动转台的控制实现了目标的跟踪。本系统经实验验证能够在实验室环境下完成对激光目标模拟器的捕获和跟踪。     

航空维修用手持式智能超声探伤仪的研制

针对海军飞机原位探伤需要,应用超声检测和计算机技术,采用嵌入式系统,结合C语言编程,研制了手持式智能超声探伤仪,并对某型直升机尾桨叶大梁裂纹试件进行了探伤试验.结果表明仪器达到了设计要求,可用于海军各型飞机的超声探伤.     

Recent progress of CERN RD50 Collaboration

The objective of the CERN RD50 Collaboration is to develop radiation hard semiconductor detectors for very high luminosity colliders, in particular, for the upgrade of the large hadron collider （LHC） which itself is scheduled to be operational in 2007. The approach of the RD50 has two major research lines, material engineering and device engineering. These are further subdivided into projects covering defect characterization and engineering, new detector materials, detector characterization, new detector structures and full detector systems. Presently, 264 members from 53 institutes are actively participating in the RD50 Collaboration. Detectors made of defect engineered substrates, e.g. high resistivity magnetic Czochralski （MCz-Si）, epitaxial silicon （Epi-Si） on Czochralski silicon （Cz-Si） substrate, intentionally thermal donor （TD） compensated p-type MCz-Si and oxygen enriched （DOFZ） silicon, have been demonstrated by the RD50 Collaboration. An overview and highlights of the results of these defect engineering techniques were given in this report.     

研究Nd-Fe-B粉末材料中不同状态氧的新方法

基于不同氧化物与碳的结合能不同,与碳的还原反应在不同的分析条件下具有先后次序,用脉冲红外氧化物夹杂分析仪,对4μm的烧结Nd Fe B永磁材料粉末的氧化行为进行了方法研究。实验结果表明,通过合理设置参数,选用跟踪升温模式,可以快速分离Nd Fe B永磁材料粉末中的不同氧化物,并可以通过加权方法进行定性验证。     

Characterization of the microstructure and hardness of the HAZ in a 800 MPa grade RPC steel

The microstructure and hardness of the HAZ in a 800 MPa grade ultra-low-carbon microalloyed steel were studied.The results indicate that the heat affected zone (HAZ) of the RPC (Relaxation- Precipitation- Controlling) steel possesses a continuous gradient structure, and can be classified into three zones, i. e. CGHAZ ( coarse-grain HAZ ) , FGHAZ (fine-grain HAZ ) and ICHAZ ( intercritical temperature HAZ ). The microstructures in the HAZ are all composed of bainite-like structure.The microstructare in the CGHAZ mainly consists of lath-like bainite and granular bainite . The influences of heat input and t8/5 on the hardness in the HAZ of RPC steel are notable. With the increase of heat input and t8/5, the softening tendency of HAZ becomes obvious. The hardening phenomenon that normally occurs in the CGHAZ does not take place with this steel in the range of experimental conditions. The softening in the ICHAZ is bound to occur. Hence appropriate welding technologies need to be selected.     

一种高精度车载坡度检测仪的研制

针对现有车载坡度检测技术缺陷,提出了一种高精度车载道路坡度检测仪的设计及实现方案。该检测仪由主控节点和多个检测节点组成,检测节点通过三轴加速度传感器检测与地面倾角,并将其发送给主控节点;主控节点收集各检测节点数据,对其进行数据融合得到坡度的最优估计值。通过仿真和实验验证了方案的可行性,设计成果可广泛应用于车载导航系统中。