异构网络中多无线电多信道环境下信道状态预测算法研究

该文针对异构网络环境未知性的特点,基于部分可测马尔科夫(POMDP)模型,结合认知无线电频谱侦测技术,提出了一种新的多无线电多信道环境下信道状态预测算法。该算法通过对信道状态历史信息的分析,推导出信道信念状态(belief state)的初始分布和转移概率,并以此选择出具有最佳回报的信道以供接入,从而达到提高信道利用率的目的。仿真结果表明算法性能要优于传统算法。     

扩频系统多通道相位差测量技术

论述了扩频无线电信号侦收和测向等应用领域中,在多通道天线和接收机后端采用数字处理手段,在低信噪比下实现多通道相位差精确提取的方法.阐述了多通道相位差提取的基本工程模型、中频信号采样处理方法、普通ASK调制信号的相位差提取方法,以及BPSK调制的扩频信号的相位差提取方法,给出了基于MATLAB7.0.1平台的仿真图形和结果.该技术已在工程中成功实现.     

投影图像光色特性的多通道快速测量

文章介绍了一种用于大屏幕投影机投影图像光色特性的多通道快速测量仪器,这种测量仪器可以测量投影图像的区域照度值、光通量、均匀性、对比度、关断比等投影机光色参数。     

高精度多波束激光雷达时间间隔并行测量技术研究

基于延迟线内插原理,设计了一种基于FPGA的多路时间间隔并行 测量方法。该方法可以解决多波束激光雷达的同时测量问题,其通道可达52波束。本文系统主要由 脉冲整形电路、测量电路以及数据处理模块等组成。实验结果表明,各通道的综合 测时均方差范围为59.55～70.06 ps,各通道平均值的均匀性为446.8 ps,一致性误 差较小。由于具有性能稳定、精度高、体积小以及使用方便等优点,该系统可以为高精度多通道信息获取技 术在多波束机载激光雷达中的广泛应用提供技术基础。     

Distributed Contention-Aware Call Admission Control for IEEE 802.11 Multi-Radio Multi-Rate Multi-Channel Wireless Mesh Networks

In this paper, we focus on call admission control (CAC) in IEEE 802.11 multi-radio multi-rate multi-channel (MR²-MC) wireless mesh networks (WMNs). CAC is the key component of QoS routing protocols. The goal of CAC is to protect existing flows from QoS violations and fully utilize available radio resource on channels. We propose a CAC mechanism, called Contention-Aware Multi-channel Call Admission Control (CMC), for MR²-MC WMNs based on IEEE 802.11 DCF. CMC is fully distributed, relies on local information to estimate the residual bandwidth of a path, and can be integrated into existing routing protocols for MR²-MC WMNs to provide QoS. We evaluate the performance of CMC via ns-2 simulations. The results show that CMC can precisely predict the end-to-end residual bandwidths of paths, successfully protects existing flows from QoS violations, and fully utilizes the bandwidths on channels.     

多通道阵列信号处理可重构异构SoC设计

设计实现了面向多通道阵列信号处理的可重构异构SoC。SoC集成了多通道阵列信号处理需要的多个硬件加速模块,有效提高了多通道阵列信号处理系统的计算能力。通过软件对各个算法模块的输入输出流向进行重构,达到了多通道阵列信号处理算法可重构的目的,扩展了SoC的适用范围。采用55 nm工艺进行设计,版图尺寸为6.2 mm×4.5 mm,规模约为1 000万门。流片后的测试结果验证了多通道阵列信号处理算法的有效性,证明了SoC设计的正确性。     

BFP改进型多柔传动装置齿轮啮合点位置的确定

通过分析BFP改进型多柔传动装置受力,确定齿轮啮合点的适当位置。     

燃料元件表面质量阵列涡流检测研究

介绍了阵列探头的原理及系统,研发出8通道品字形阵列探头,设计出标准试样,对阵列探头的覆盖能力、多通道信号统一评价方法、检出能力等开展了试验并进行分析。结果表明,阵列探头能够保证足够的覆盖率;采用多通道信号统一评价方法后,能够对不同通道的涡流信号进行有效的评价;能够检出燃料元件表面0.03mm深人工槽伤。验证试验表明,采用文中所述检测技术,能够有效发现不同深度的缺陷,检出误差0.01mm。     

Multi-channel charge readout ASIC for X-ray detection

To solve the problem of large area and high power consumption of the traditional multi-channel charge readout circuit for X-ray detection,a new multi-channel charge readout circuit structure is presented.The circuit integrates 32 charge acquisition channels,including an integrator,a differential output buffer,a digital control logic circuit and other functional modules.The proposed structure reduces the power consumption and area by integrating the sample and hold circuit and the correlated double sampling circuit into the output buffer.In order to reduce the offset and low-frequency noise,the correlated double sampling technology has been adopted.In addition,the way of overlapping the outputs between the even and odd channels is adopted to realize continuous transmission of the multi-channel signals.The chip has been fabricated using the CMOS 0.25 μm process with the chip size of 2.87 mm×2.68 mm.Measurement results show that the power consumption of each channel is 1.5 mW under the 5.0 V voltage supply and 2.5 V reference voltage.When the integrated capacitor is 7.8 pF,the integration non-linearity is less than 0.1% and the dynamic range reaches 13 100.     

利用卷积回声状态网络实现脑电情感识别

针对多通道脑电(EEG)的情感识别,提出了一种卷积回声状态网络(CESN)模型。首先构造EEG信号的特征矩阵序列;然后通过卷积操作提取各个样本的高层抽象特征,形成一维特征向量序列;利用具有自反馈功能的蓄水池结构,捕获向量序列的动态时序信息;最后用岭回归来实现情感识别。在情感分析专用生理信号数据集上进行实验的结果表明,EEG信号的动态时序性蕴含着与情感状态相关的区分性信息,所提的CESN模型能够有效地挖掘这种信息,并用于情感分类,解决了卷积神经网络中因使用反向传播算法而导致的局部最优和训练时间过长的问题。