基于可变抽头滤波器的信道估计的研究

文章在基于固定抽头横向滤波器的信道估计的基础上,对信道估计进行改进实现了基于可变抽头的信道估计。在这种信道估计中,运用Akaike information criterion（AIC准则）寻找与实际信道最相符的最佳信道结构模式,实现对滤波器的抽头数目的判定。采用找到的最佳信道模式可以减少均衡器的抽头数目,可以节约平均处理时间,并且在系统误码性能上也有提高。     

基于最大熵谱估计的舰船静电场实时检测方法

舰船静电场是海水中舰船产生的物理场之一,是很难被隐身的目标特征信号.以往对静电场的检测方法都是基于信号的时域特征,低信噪比情况下,检测效果差.通过对舰船静电场的频域特征分析发现,其能量主要集中在低频段,利用这个特点,提出了一种基于最大熵谱估计(MESE)的舰船静电场实时检测的方法.首先对舰船静电场信号进行最大熵谱估计,然后提取低频段功率谱值作为特征量,通过设定的浮动阈值进行分段功率谱滑动检测,用实船数据对该方法进行了验证,取得了较好的效果.     

空气净化器风道的计算机仿真

在进行空气净化器风道结构的设计中,风道的结构形式对风量起着重要的影响。本文利用ICEPAK计算机仿真软件在设计阶段对空气净化器的风道进行模拟仿真,建立了风道的仿真模型及建模过程,仿真出风道进口处与出口处的空气流速的变化值,进一步研究离心风机的风量与滤层阻力、流量、流速的影响关系。通过实验比较,在不同滤器种类的情况下,验证了风阻对风量的影响大小,证明了空气净化器风道计算机仿真的正确性。     

面向智能船舶的容错卡尔曼融合估计方法

针对智能船舶多传感器系统因未知海洋环境干扰和设备间干扰等因素导致的一个或数个传感器产生随机间歇性故障从而导致融合估计结果出现偏差甚至失真的问题,设计1种基于四分位滤波的容错方法,并针对该方法导致的观测时滞问题设计1种预报方法,提前预报观测值,进而抵消容错方法导致的时滞问题。此外,针对多传感器之间的互协方差难以准确估计的问题,采用CI融合估计方法进行融合估计。为验证算法的有效性和融合估计的精度,对带有间歇性故障的两传感器系统进行仿真试验,并与按矩阵、按对角阵和按标量3种分布式融合估计方法得到的结果进行对比。4种方法的均方误差系数大小对比结果显示,对于带间歇性故障的多传感器系统,设计的融合滤波不仅具有鲁棒性,而且具有较高的融合精度。     

某船用柴油机SCR尿素喷射系统结构参数仿真优化

在建立的SCR系统三维仿真模型基础上,首先通过仿真性能分析,初步确定了尿素喷嘴位置、喷孔直径、喷孔数目及喷射方向等尿素喷射结构参数范围,然后采用正交试验法确定尿素喷射结构参数仿真试验方案。以NO_X转化率为优化目标,通过极差分析和方差分析得到优化的尿素喷射结构参数方案为:喷嘴与催化剂入口距离为7倍管径,喷嘴孔数为6孔,喷嘴孔径为0.6 mm,喷射锥角为30°。     

基于CCP协议的大功率高压共轨柴油机安全控制系统设计

以某10000kW大功率高压共轨电控柴油机为研究对象,实现柴油机状态参数的在线控制、标定和实时循环采集,并阐述CCP通信应用层协议的应用技巧和开发过程。该系统功能完备且稳定性好,为整机综合电控系统的开发提供通信基础平台,能明显缩短较复杂的大系统研发周期,可广泛应用于工程项目中。     

几种典型的大型集装箱船导轨结构特性对比计算分析

本文以固定装载型式导轨和混合装载型式导轨为研究对象,基于有限元方法分析了不同集装箱装载工况对导轨强度、刚度的影响,同时在相同集装箱装载工况下,对不同导轨的强度、刚度进行了对比分析。结果可为集装箱导轨的设计优化提供了一定的参考。     

大深度浮力驱动式水下运载器的浮潜运动研究

基于模型试验,对大深度浮力驱动式水下运载器的上浮运动进行研究与分析,基于数值仿真,提出大深度浮力驱动式水下运载器浮潜运动的快速预报方法,并将预报结果与模型试验结果进行对比,证明快速预报方法的准确性。使用快速预报方法,针对水下运载器比重变化、流体密度变化、水下运载器初速度以及水流扰动4种因素对浮潜运动的影响进行研究.此外,对水下运载器作六自由度运动时所受的水动力进行计算,为后续的六自由度运动预报和研究提供基础。     

Emission rates of intermodal rail/road and road-only transportation in Europe: A comprehensive simulation study

Intermodal rail/road transportation combines advantages of both modes of transport and is often seen as an effective approach for reducing the environmental impact of freight transportation. This is because it is often expected that rail transportation emits less greenhouse gases than road transportation. However, the actual emissions of both modes of transport depend on various factors like vehicle type, traction type, fuel emission factors, payload utilization, slope profile or traffic conditions. Still, comprehensive experimental results for estimating emission rates from heavy and voluminous goods in large-scale transportation systems are hardly available so far. This study describes an intermodal rail/road network model that covers the majority of European countries. Using this network model, we estimate emission rates with a mesoscopic model within and between the considered countries by conducting a large-scale simulation of road-only transports and intermodal transports. We show that there are high variations of emission rates for both road-only transportation and intermodal rail/road transportation over the different transport relations in Europe. We found that intermodal routing is more eco-friendly than road-only routing for more than 90% of the simulated shipments. Again, this value varies strongly among country pairs.     

Estimation of origin-destination matrices from link counts and sporadic routing data

Estimation of origin-destination (OD) matrices from link count data is a challenging problem because of the highly indeterminate relationship between the observations and the latent route flows. Conversely, estimation is straightforward if we observe the path taken by each vehicle. We consider an intermediate problem of increasing practical importance, in which link count data is supplemented by routing information for a fraction of vehicles on the network. We develop a statistical model for these combined data sources and derive some tractable normal approximations thereof. We examine likelihood-based inference for these normal models under the assumption that the probability of vehicle tracking is known. We show that the likelihood theory can be non-standard because of boundary effects, and provide conditions under which such irregular behaviour will be observed in practice. For regular cases we outline connections with existing generalised least squares methods. We then consider estimation of OD matrices under estimated and/or misspecified models for the probability of vehicle tracking. Theoretical developments are complemented by simulation experiments and an illustrative example using a section of road network from the English city of Leicester.