射频仿真系统中天线阵列在空间位置和布局设计

射频仿真系统的核心任务是通过控制天线阵列三元组模拟产生的目标信号为被试电子设备提供逼真的电磁环境,三元组是关键部分。论文从三元组的工作原理出发,分析研究了几种常用的天线布局方案,同时通过计算论证了天线阵列各三元组的几何位置关系,明确了球面三角形为近似球面等边三角形的概念,为三元组的设计提供理论依据。     

甚低频与超低频通信入水深度比较分析

甚低频和超低频是目前对水下潜艇通信的重要手段,论文对电磁波的入水传播做了理论分析,并对甚低频和超低频的入水深度进行了计算,给出了典型计算结果,并就如何提高甚低频、超低频的通信效果给出了建议.     

基于概率模型检验的CTCS-3级无线通信建模与分析

CTCS-3级列控系统的无线通信系统是一个复杂、随机的分布式系统,无线通信系统为列控系统车载和地面设备提供安全相关信息交互,因此采用正确有效的方法对其进行建模和可靠性分析具有重要意义.本文根据GSM-R网络的QoS要求,建立了无线通信系统的概率模型,采用概率模型检验工具PRISM对概率模型进行描述和可靠性分析,计算了无线通信系统的稳态概率,并分析了不同速度条件对无线通信的可靠性的影响.结果表明,当无线小区平均间距为3 km,列车运行速度为300 km/h时,无线通信系统处于已连接状态的概率为0.991;随着列车运行速度的增大,无线通信系统处于已连接状态的概率下降.     

旋转式惯导系统误差传播特性

旋转调制技术通过转位机构带动惯性测量单元按照设计好的转位方案旋转,将器件误差对导航精度的影响调制平均掉,从而提高系统长航时导航精度。该技术在国外船用领域被广泛应用,也是惯性技术领域的热点研究方向之一。本文研究旋转调制技术的本质,即旋转式惯导系统的误差传播特性,从理论上分析旋转式惯导系统单通道误差传播机理,研究器件误差经调制后的传播形式,阐释旋转调制技术提高系统精度的原因。通过仿真验证了惯性器件常值误差经旋转调制后消弱了对导航精度的影响程度。     

大型集装箱船高强度厚钢甲板安全寿命评估方法

疲劳是船舶与海洋工程结构破坏的主要模式之一.高强度钢的应用使得结构的疲劳问题更加突出.对于采用以高强度厚钢板为甲板的大型集装箱船来说,有必要进行高强度厚钢板的焊接缺陷部位安全寿命评估方法研究.以应力范围的长期分布服从两参数Weibull分布的随机载荷为疲劳载荷,裂纹扩展率采用单一曲线模型预报裂纹在任意时刻的尺寸,结合应力强度因子并参考应力计算方法和失效评估图技术提出一套计算集装箱船高强度钢厚钢板安全寿命评估的方法.通过编制计算程序,对某集装箱船甲板进行安全寿命计算.最后,分析疲劳载荷谱对安全寿命的影响.计算结果表明：载荷回复期的长短和Weibull分布的形状参数的取值都会极大影响结构疲劳安全寿命.     

高速列车电磁发射问题分析及解决措施

为了解决高速列车车辆在型式试验过程中在固定频段内出现的电磁发射问题,对车辆牵引传动系统电气原理系统进行分解,从变流器开关器件、线缆传输特性的原理入手分析150 kHz^1.15 MHz以及200 MHz^1GHz频段内发生的射频发射原理,提出发射问题解决方案并对车辆进行整改,实现射频发射满足标准要求。     

基于交互式马尔可夫链的CTCS无线通信可靠性分析

CTCS无线通信的可靠性与整个系统的稳定性和安全性紧密相关,对其进行建模与分析具有重要意义。利用交互式马尔可夫链对CTCS无线通信的可靠性进行了建模与分析,主要解决了CTCS无线通信中存在的信道延时、通信故障、网络故障等随机事件与确定动作的分隔问题,以及带有同步的并发操作的实现问题。定义了交互式马尔可夫链的相关语义和逻辑刻画,给出了基于交互式马尔可夫链的模型检验算法。分析结果表明:在具有修复机制和双网冗余结构的条件下,系统在规定时间内完成数据传输的概率大于99%,24 h内连续正常工作的概率大于95%,满足系统要求。     

Analytical model for information flow propagation wave under an information relay control strategy in a congested vehicle-to-vehicle communication environment

Vehicular traffic congestion in a vehicle-to-vehicle (V2V) communication environment can lead to congestion effects for information flow propagation. Such congestion effects can impact whether a specific information packet of interest can reach a desired location, and if so, in a timely manner to influence the traffic system performance. Motivated by the usefulness and timeliness of information propagation, this paper aims to characterize the information flow propagation wave (IFPW) for an information packet in a congested V2V communication environment under an information relay control strategy. This strategy seeks to exclude information that is dated in the communication buffer under a first-in, first-out queue discipline, from being relayed if the information flow regime is congested. It trades off the need to enable the dissemination of every information packet as far as possible, against the congestion effects that accrue because of the presence of multiple information packets. A macroscopic two-layer model is proposed to characterize the IFPW. The upper layer is formulated as integro-differential equations to characterize the information dissemination in space and time under this control strategy. The lower layer adopts the Lighthill-Whitham-Richards model to capture the traffic flow dynamics. Based on the upper layer model, a necessary condition is derived which quantifies the expected time length that needs to be reserved for broadcasting the information packet of interest so as to ensure the formation of an IFPW under a given density of V2V-equipped vehicles. When the necessary condition is satisfied under homogeneous conditions, it is shown that the information packet can be propagated at an asymptotic speed whose value can be derived analytically. Besides, under the proposed control strategy, only a proportion of vehicles (labeled asymptotic density of informed vehicles) can receive the specific information packet, which can be estimated by solving a nonlinear equation. The asymptotic IFPW speed, the asymptotic density of informed vehicles, and the necessary condition for the IFPW, help in evaluating the timeliness of information propagation and the influence of traffic dynamics on information propagation. In addition, the proposed model can be used to numerically estimate the IFPW speed for heterogeneous conditions, which can aid in the design of traffic management strategies built upon the timely propagation of information through V2V communication.     

Hierarchical travel demand estimation using multiple data sources: A forward and backward propagation algorithmic framework on a layered computational graph

Aiming to develop a theoretically consistent framework to estimate travel demand using multiple data sources, this paper first proposes a multi-layered Hierarchical Flow Network (HFN) representation to structurally model different levels of travel demand variables including trip generation, origin/destination matrices, path/link flows, and individual behavior parameters. Different data channels from household travel surveys, smartphone type devices, global position systems, and sensors can be mapped to different layers of the proposed network structure. We introduce Big data-driven Transportation Computational Graph (BTCG), alternatively Beijing Transportation Computational Graph, as the underlying mathematical modeling tool to perform automatic differentiation on layers of composition functions. A feedforward passing on the HFN sequentially implements 3 steps of the traditional 4-step process: trip generation, spatial distribution estimation, and path flow-based traffic assignment, respectively. BTCG can aggregate different layers of partial first-order gradients and use the back-propagation of “loss errors” to update estimated demand variables. A comparative analysis indicates that the proposed methods can effectively integrate different data sources and offer a consistent representation of demand. The proposed methodology is also evaluated under a demonstration network in a Beijing subnetwork.     

对利用AP数据库排除车载无线电台干扰的研究

介绍CBTC系统的数据通信网,根据CBTC系统骨干网的双网特性,为轨旁AP建立2个AP数据库,与列车车头和车尾的2套车载无线电台相对应.车载设备中设计一个车载无线电台管理模块,利用轨旁AP数据库排除非法的无线干扰,实现无线覆盖区域间的越区切换,保证切换的安全性和稳定性.