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姿态估计的英文

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"姿态估计"怎么读用"姿态估计"造句

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  • attitude estimation

例句与用法

  • Finally , for comparison , ekf , ukf and central difference kalman filter ( cdkf ) estimators are used to gauge the performance of sukf estimator
    与ekf 、 ukf和cdkf滤波方法的仿真比较表明, sukf姿态估计器在保证精度的同时,减少了计算量。
  • On other hand , an sukf attitude estimator is extended to the case of the gyroless satellite with greater accuracy than attainable with an extended kalman filter
    在无陀螺模式,基于mrps的姿态表示和卫星刚体动力学方程,实现了sukf姿态估计算法。
  • The calculated simulation results , as shown in figures . 6 . 5 through 6 . 8 and table 6 . 1 show that the more attitude sensors are used , the more accurate the estimation can be achieved
    的仿真结果表明:利用的姿态敏感器越多,姿态估计糟度越高,进一步证明了信息融合估计理论的正确性。
  • In addition , with the gyro and the help of the modified rodrigues parameters ( mrps ) , the proposed method can make the unit norm constraint on quaternion be satisfied
    在有陀螺模式下,设计了基于误差修正罗德里格参数( mrps )的sukf姿态估计算法,在计算过程中同时能够保证四元数始终归一化。
  • The main contents of this dissertation consist of the following parts : an improved unscented kalman filter using spherical simplex unscented transformation ( sukf ) is derived in an attempt to solve the attitude estimation problem with the biased gyro or not from the vector observations
    主要完成了以下几方面的工作:针对有陀螺和无陀螺两种模式,提出了一种基于简化球形分布sigma点ut变换的改进型ukf滤波( sukf )的卫星姿态估计算法。
  • Images containing faces are essential to intelligent vision - based human computer interaction , and research efforts in face processing include face recognition , face tracking , pose estimation , and expression recognition . however , all of these researching directions involve in one problem - face detection and location , in other words , before this face processing , we must know faces " locations and scales
    在目前的人脸图象信息处理领域中,包含有人脸识别、人脸跟踪、姿态估计、表情识别等多个研究方向,然而,所有这些研究方向都涉及到一个人脸标识和定位的问题,即必须知道人脸在图象中的位置以及尺寸? ?人脸检测。
  • As compared with ekf , no jacobian matrix is required to calculate in ukf and better estimates of the mean and covariance of the states can be generated , which leads to better performance , but the computational costs of ukf is directly proportional to the number of sigma points which are used
    Ukf姿态估计算法与ekf相比,无需计算jacobian矩阵,仅需代数运算且运算较简单。通过ut变换, ukf具有处理非线性系统的估计问题的能力。但是, ukf滤波算法的计算量与ut变换中包含的采样点( sigma点)的数量成正比。
  • In order to improve the performance of ekf and ukf , the square soot unscented kalman filter ( sr - ukf ) with multiplicative noise is firstly investigated . considering the satellite nonlinear model , the sr - ukf attitude estimator is derived for gyroless satellite attitude estimation to render the state covariance with positive semi - definiteness and exceptional estimation accuracy
    对于姿态估计,采用了rao - blackwellization技术将卫星模型状态向量中的线性状态部分(陀螺偏差)和非线性状态部分(卫星姿态)分开处理,线性部分状态可以由卡尔曼滤波( kf )估计得到,非线性部
  • Simulation result indicated that predictive filter of the dynamics model may be followed the attitude movement , if disturbance moment is time variable and large relative to gradient moment of gravity , and predictive filter based kinematics is suitable if there is no information about dynamics
    在有较大时变干扰力矩情况下基于动力学模型的预测滤波算法能够很好地跟踪姿态变化,而在对系统模型一无所知,系统动态不高的条件下利用基于运动学的预测滤波算法可以得到较好的姿态估计
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