一种基于移动辅助节点的单兵导航系统协同初始化算法

惯性导航系统凭借其自主性强、隐蔽性好、可靠性高的优势,在单兵作战、反恐救援中发挥越来越重要的作用。针对单兵惯性导航系统精度较低,在长期工作后精度下降严重,需要重新初始化的问题,以单兵与无人平台的协同作业为背景,提出了一种基于移动式辅助节点的单兵导航系统协同快速初始化方法。该方法以目标节点的角增量、位移增量信息与测距信息作为输入,采用粒子滤波技术对单兵导航系统的位置和航向进行协同估计。试验表明,该算法最少仅需1个辅助节点即可实现较好的单兵惯导系统位置和航向初始化。

Locating microseismic sources based upon L-shaped single-component geophone array:A synthetic study

We have developed a type of L-shaped single-component geophone array as a single station(L-array station)for surface microseismic monitoring.The L-array station consists of two orthogonal sensor arrays,each being a linear array of single-component sensors.L-array stations can be used to accurately estimate the polarization of first arrivals without amplitude picking.In a synthetic example,we first use segmentally iterative ray tracing(SIRT)method and forward model to calculate the travel time and polarization of first arrivals at a set of L-array stations.Then,for each L-array station,the relative delay times of first arrivals along sensor arrays are used to estimate the polarization vector.The small errors in estimated polarization vectors show the reliability and robustness of polarization estimation based on L-array stations.We then use reverse-time ray-tracing(RTRT)method to locate the source position based on estimated polarizations at a set of L-array stations.Very small errors in inverted source location and origin time indicate the great potential of L-array stations for source localization applications in surface microseismic monitoring.

基于雨课堂的“数字信号处理”双语教学实践

为了提高“数字信号处理”课程的教学质量,在借鉴国内一流高校双语教学实践经验的基础上,将雨课堂信息化教学平台引入教学过程,开展了四轮双语教学实践。针对第一轮双语教学的实施过程中的问题,在第二轮至第四轮的双语教学中引入雨课堂智慧教学工具。教学实践表明,通过雨课堂教学平台可以有效提高课堂的师生互动,对双语教学效果的提升具有促进作用,为高校开展双语教学提供参考。