基于云重心理论的炮兵群（团）生存能力评估

利用云重心理论构建炮兵群（团）生存能力评估模型步骤为：确定评估对象指标体系、计算指标权重、列出指标的状态值、确定云的重心向量及确定加权偏离度,并通过实例验证了该模型的可行性。此方法简单易行,可操作性强,为炮兵群（团）生存能力评估提供了有效的方法。     

脉冲气缸润滑油系统的技术特点

介绍并分析了在RTA和RT-flex柴油机上采用的一种全新的电子控制的脉冲气缸润滑油系统（PLS）。它通过对气缸壁润滑油分布的改进和充分灵活、精确定时的润滑油喷射，较原有的气缸润滑油蓄压器系统可减少气缸润滑油消耗37％，同时保持了活塞运转的可靠性。     

GPS航海定位精度评估与分析

文章论述了GPs发展概况,包括SA取消后的美国GPS现代化对GPS应用界的影响.简述了GPS的工作原理,以及影响GPS定位精度的各种误差因素.采用OFFICE软件中的EXCEL,处理大量的实测数据,比较SA取消前后GPS定位精度,重点分析影响GPS精度的各种误差因素,对GPS民用精度进行了分析与评估.同时针对SA取消后航海应用中的定位精度,在评估GPS定位精度(2DRMS)基础上,分别采用不同版海图,实测GPS船位与在大比例尺港泊图上,通过多次陆标定位所得的平均值作为标准船位比较其偏差,分析在不同坐标系下,对船舶定位精度的影响,得出采用不同坐标系的定位误差及海图的误差.     

优化GM（1,1）模型在连续刚构桥施工监控中的应用

文章结合优化GM（1,1）模型用于罗天乐大桥施工监控的工程实例,介绍了优化GM（1,1）模型的原理、计算方法及计算过程,并根据实际监控经验提出了建议。罗天乐大桥的具体施工监控实践表明,优化GM（1,1）模有着较高的预测精度,能较好地应用于大跨度连续刚构桥的施工监控。     

6×6无人地面车辆差速转向分析与优化

差速转向越来越多的被应用于无人地面车辆，介绍了差速转向相比于传统转向轮转向的一些优势，并对差速转向进行了简单的运动学分析。差速转向消耗的功率大，提出通过调整悬架装置改善转向效率，并对车辆悬架调整前后的模型进行静力学分析。     

GPS干扰与抗干扰能力分析

分析了GPS干扰与抗干扰能力。讨论了压制式干扰和干扰组阵对C／A码接收机的影响，并分析了自适应调零天线对抗干扰的有效性。     

基于Delphi环境的GPS数据监测与采集

文章介绍了在Delphi环境下实现GPS数据监测采集的关键技术。GPS接收机通过串口与计算机进行通信,其数据格式为NMEA0183,程序利用MSComm控件实现数据接收,对数据进行处理后实时显示给用户,并将用户位置、时间、速度和航向等信息保存到数据库中,为监测开发GPS数据处理软件和其它导航系统定位信息输入提供依据和数据来源。     

新型水下储油技术

针对南海百米左右水深边际油田的开发，提出了一种新型的适用于可移动生产储油平台的水下储油方式。介绍了方案的基本配置、工作流程及维温方式。通过设置不同功能的舱室和布置监测仪器，保留了油水置换低投资的主要优点，避免了环境污染。各种设备位于水面以上，维护方便。基本解决了制约工程应用的技术问题。     

Virtual 3D city model as a priori information source for vehicle localization system

This paper aims at demonstrating the usefulness of integrating virtual 3D models in vehicle localization systems. Usually, vehicle localization algorithms are based on multi-sensor data fusion. Global Navigation Satellite Systems GNSS, as Global Positioning System GPS, are used to provide measurements of the geographic location. Nevertheless, GNSS solutions suffer from signal attenuation and masking, multipath phenomena and lack of visibility, especially in urban areas. That leads to degradation or even a total loss of the positioning information and then unsatisfactory performances. Dead-reckoning and inertial sensors are then often added to back up GPS in case of inaccurate or unavailable measurements or if high frequency location estimation is required. However, the dead-reckoning localization may drift in the long term due to error accumulation. To back up GPS and compensate the drift of the dead reckoning sensors based localization, two approaches integrating a virtual 3D model are proposed in registered with respect to the scene perceived by an on-board sensor. From the real/virtual scenes matching, the transformation (rotation and translation) between the real sensor and the virtual sensor (whose position and orientation are known) can be computed. These two approaches lead to determine the pose of the real sensor embedded on the vehicle. In the first approach, the considered perception sensor is a camera and in the second approach, it is a laser scanner. The first approach is based on image matching between the virtual image extracted from the 3D city model and the real image acquired by the camera. The two major parts are: 1. Detection and matching of feature points in real and virtual images (three features points are compared: Harris corner detector, SIFT and SURF). 2. Pose computation using POSIT algorithm. The second approach is based on the on–board horizontal laser scanner that provides a set of distances between it and the environment. This set of distances is matched with depth information (virtual laser scan data), provided by the virtual 3D city model. The pose estimation provided by these two approaches can be integrated in data fusion formalism. In this paper the result of the first approach is integrated in IMM UKF data fusion formalism. Experimental results obtained using real data illustrate the feasibility and the performances of the proposed approaches.     

模糊自适应滤波在车载组合导航系统中的应用

文章针对车载GPS/DR组合导航系统工作环境复杂,其观测噪声相应复杂多变的特点,引入了一种基于模糊自适应控制的卡尔曼滤波算法。这一方法基于方差匹配的思想,通过模糊控制器在线调整观测噪声方差,以改变滤波器的自适应性,从而提高导航精度。文章最后对GPS/DR系统进行了仿真,结果表明采用此方法后的滤波精度优于常规Kal-man滤波的结果。