宽带干扰下GPS接收机捕获性能的分析

在GPS接收机捕获原理的基础上，分析了GPS接收机的平均捕获时间和捕获时间方差，推导出宽带干扰与噪声的功率谱密度，从而得到检测概率和虚警概率的表达式，最后给出不同中频信噪比以及不同积分时间下的平均捕获时间和平均捕获时间方差与干扰噪声功率比的关系曲线。仿真结果表明宽带干扰功率达到一定值时，对GPS接收机具有较好的干扰效果。     

On the variance of recurrent traffic flow for statistical traffic assignment

This paper generalizes and extends classical traffic assignment models to characterize the statistical features of Origin-Destination (O-D) demands, link/path flow and link/path costs, all of which vary from day to day. The generalized statistical traffic assignment (GESTA) model has a clear multi-level variance structure. Flow variance is analytically decomposed into three sources, O-D demands, route choices and measurement errors. Consequently, optimal decisions on roadway design, maintenance, operations and planning can be made using estimated probability distributions of link/path flow and system performance. The statistical equilibrium in GESTA is mathematically defined. Its multi-level statistical structure well fits large-scale data mining techniques. The embedded route choice model is consistent with the settings of O-D demands considering link costs that vary from day to day. We propose a Method of Successive Averages (MSA) based solution algorithm to solve for GESTA. Its convergence and computational complexity are analyzed. Three example networks including a large-scale network are solved to provide insights for decision making and to demonstrate computational efficiency.     

基于数理统计方法的铁路隧道衬砌质量缺陷分析

目前,利用地质雷达法检测隧道衬砌质量时,通常仅对隧道衬砌缺陷进行描述,较少深入分析这些缺陷的内在分布规律.采用数理统计的方法,对某在建铁路工程14座隧道共285个衬砌质量缺陷样本的分布规律进行分析.研究表明,(1)在不同测线部位,其缺陷率、不同缺陷类型占该测线缺陷比例、缺陷径向尺寸的最大值、平均值及样本标准差均不同;(...     

Predicting queue variability to enable analysis of overload risk

ABSTRACT

Predicting the risk of traffic demands and delays exceeding critical limits at road junctions, airports, hospitals, etc., requires knowing how both mean and variance of queue size vary over time. Microscopic simulation can explore variability but is computationally demanding and gives only sample results. A computationally efficient approximation to the mean is used in many modelling tools, but only empirical extensions for variance in particular situations have been available. The paper derives theoretical formulae for time-dependent and equilibrium variance, believed to be novel and to apply generally to queues covered by the Pollaczek–Khinchin mean formula, and offering possible structural insights. These are applied in an extended approximation giving mutually consistent mean and variance estimates with improved accuracy. Tests on oversaturated peak demand cases are compared with Markov probabilistic simulation, demonstrating accuracy (R^2?>?0.99) for typical random, priority-like (M/M/1) and traffic-signal-like (M/D/1) queues. Implications for risk analysis, planning and policy are considered.     

Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures

Due to the difficulty of obtaining accurate real-time visibility and vehicle based traffic data at the same time, there are only few research studies that addressed the impact of reduced visibility on traffic crash risk. This research was conducted based on a new visibility detection system by mounting visibility sensor arrays combined with adaptive learning modules to provide more accurate visibility detections. The vehicle-based detector, Wavetronix SmartSensor HD, was installed at the same place to collect traffic data. Reduced visibility due to fog were selected and analyzed by comparing them with clear cases to identify the differences based on several surrogate measures of safety under different visibility classes. Moreover, vehicles were divided into different types and the vehicles in different lanes were compared in order to identify whether the impact of reduced visibility due to fog on traffic crash risk varies depending on vehicle types and lanes. Log-Inverse Gaussian regression modeling was then applied to explore the relationship between time to collision and visibility together with other traffic parameters. Based on the accurate visibility and traffic data collected by the new visibility and traffic detection system, it was concluded that reduced visibility would significantly increase the traffic crash risk especially rear-end crashes and the impact on crash risk was different for different vehicle types and for different lanes. The results would be helpful to understand the change in traffic crash risk and crash contributing factors under fog conditions. We suggest implementing the algorithms in real-time and augmenting it with ITS measures such as VSL and DMS to reduce crash risk.     

水下机器人姿态角LQR-鲁棒方差控制实验研究

采用自动平衡控制系统作为物理仿真系统对水下机器人姿态角控制进行实验研究.结合具体系统设计了鲁棒方差控制器,分析了设计参数和系统参数变化对系统性能的影响.针对系统对大偏差和小偏差不同的要求,采用了LQR控制和鲁棒方差控制复合控制器;结合实际参数不确定范围确定了合理的设计参数范围;进一步结合实际调试中的具体问题确定了适当的系统参数.研究表明,LQR-鲁棒方差控制策略可以保证系统在较大范围的参数变化时保持稳定,有适当的带宽,并对随机干扰实现了合理的抑制.研究结果可供研制水下机器人控制系统参考.     

船用光纤陀螺随机漂移分析与研究

随机漂移是影响船用光纤陀螺精度的主要因素。对随机漂移进行建模并在系统中加以补偿是提高船用光纤陀螺及其导航系统精度的关键。本文对可用于精密仪器随机漂移研究的Allan方差法加以改进,将数字信号处理中加窗函数的方法应用于计算Allan方差,解决了某些频段内由于频混造成的随机漂移表征不唯一的问题。通过对光纤陀螺实测数据进行计算,得出各种随机漂移的系数,实验证明这是对光纤陀螺随机漂移进行研究的有效方法。     

Suspension system state estimation using adaptive Kalman filtering based on road classification

This paper provides a new method to solve the problem of suspension system state estimation using a Kalman Filter (KF) under various road conditions. Due to the fact that practical road conditions are complex and uncertain, the influence of the system process noise variance and measurement noise covariance on the estimation accuracy of the KF is first analysed. To accurately estimate the road condition, a new road classification method through the vertical acceleration of sprung mass is proposed, and different road process variances are obtained to tune the system’s variance for the application of the KF. Then, road classification and KF are combined to form an Adaptive Kalman Filter (AKF) that takes into account the relationship of different road process noise variances and measurement noise covariances under various road conditions. Simulation results show that the proposed AKF algorithm can obtain a high accuracy of state estimation for a suspension system under varying International Standards Organisation road excitation levels.     

资源均衡优化的原理

本文应用网络计划技术,论述了资源均衡优化的原理,并给出了优化的具体方法和步骤.文中引用方差σ~2来度量资源均衡的程度,把网络图的优化转换为求σ~2,并使其逐渐变小来获得最优方案.     

测量噪声相关情况下的航迹融合和测量融合

研究了测量噪声相关情况下的航迹融合和测量融合问题,根据线性无偏最小方差估计理论,推导了噪声相关情况下的多传感器跟踪系统的航迹融合和测量融合算法.经Monte Carlo仿真表明,文中给出的考虑噪声相关的航迹融合和测量融合算法的跟踪精度均高于相应的不考虑噪声相关的传统算法,且附加的计算量很小.