距离误差 meaning in Chinese
distance error
downrange error
error distance
error in range
range error
Examples
- User equivalent range error uere
用户等效距离误差 - We prove theoretically that under certain reasonable assumptions the formation is asymptotically stable even wills bounded disturbances ; that is , the proposed sliding mode controller can asymptotically stabilize the errors in relative distance , relative bearing and heading direction , respectively
在合理的假设下，从理论上证明了存在有界干扰情形下机器人编队的渐近稳定性，即所设计的滑模控制器使得相对距离误差、方位角误差及运动方向误差渐近稳定。 - Aiming at the enhanced positioning accuracy of wireless sensor network node location , an improved positioning algorithm which uses a differential error correction scheme that is designed to reduce cumulative distance error and node location error accumulated over the multiple hops is proposed in this paper , together with its basic principle and realization issues
摘要本文针对无线传感器网络节点的定位精度问题，提出了一种采用误差修正的方法来降低累积距离误差和定位误差的传感器网络节点定位改进算法，给出了该算法的基本原理与实现方法。 - Abstract : the attitude error performance of electrostatic gyro should be understood and the relevant error equations must be set up in order to ensure the navigation precision of esgm . the relation between the navigation errors and the attitude errors of gyro was derived by use of spherical triangle . the simulation results show that the temporal performances of the longitudinal and distance errors which come from the initial alignment errors are periodically variational . they also show that the longitudinal and distance errors resulted from gyro drifts are not convergent in time . thus , the effects of initial alignment errors and gyro drifts can not be neglected and must be estimated and compensated
文摘:为了保证静电监控器的导航定位精度，需要了解静电陀螺的姿态误差特性，建立相应的误差方程.本文采用球面三角形原理推导了导航定位误差与陀螺姿态误差的关系式.仿真结果表明，由初始定向误差引起的经度误差和距离误差的时间特性是周期变化的；由陀螺漂移引起的经度误差和距离误差是随时间发散的.因此，初始定向误差和陀螺漂移的影响不能忽略，必须对其进行估计和补偿 - After construction of the prior landmark models based on principal component analysis technique , structures of objects can be located by adjusting the model parameters in a learning way that it minimizes the distances of corresponding landmark points between model and object . a good overall match is obtained in a few iterations
它首先运用主分量分析方法( pca )建立目标轮廓的先验模型，而后通过学习的方法不断调整模型参数来减少模型与目标轮廓的距离误差，最终在多次迭代后达到模型与实际目标的匹配。