ID | 原文 | 译文 |
8974 | 采用四元数法更新航姿参数再转换成欧拉角输出。 | Using the quaternion method is more sia pose parameters into euler Angle output again. |
8975 | 由于小型尾坐式飞行器姿态变化范围大,针对传统四元数到欧拉角的转换算法在扰动下航向和姿态角易发生振荡的问题,提出了一种改进的全姿态四元数转换到欧拉角的转换算法。 | Due to large range of small tail seated spacecraft attitude change, in view of the traditional quaternion to euler Angle conversion algorithm under disturbance heading and attitude Angle oscillation problems, puts forward an improved whole attitude quaternion to euler Angle conversion algorithm. |
8976 | 通过分析姿态矩阵中元素的符号,由四元数得到两组欧拉角,以姿态控制利益为牵引,选择正确的一组。 | By analyzing the attitude matrix of element symbols, two groups of euler angles are obtained by quaternions, in the interests of the attitude control for traction, choosing the right group. |
8977 | 针对无迹卡尔曼滤波(unscented Kalman filter,UKF)算法在外界噪声干扰下测量精度降低的问题,引入自适应算法,使量测噪声统计特性随噪声的变化而自适应的调整,提高系统的抗干扰能力。 | For no trace Kalman filtering (unscented Kalman filter, UKF) algorithm to reduce the measurement accuracy of problems under the outside noise interference, the introduction of the adaptive algorithm, the statistical feature of measurement noise and adaptive adjustment along with the change of noise, improve the anti-interference ability of the system. |
8978 | 针对小型尾坐式飞行器姿态易突变的问题,设计了强跟踪滤波器,利用多个渐消因子减小历史数据在测姿中的作用,提高当前信息的比重,提高系统对突变姿态的跟踪精度。 | For small tail sitting spacecraft attitude easy mutation problem of strong tracking filter was designed, using multiple fading factor to reduce the role of historical data in measuring appearance, increase the share of current information, improve the system tracking precision of mutation posture. |
8979 | 最后,通过实验验证了全姿态解算算法、自适应UKF滤波算法和强跟踪算法的可行性,实验结果表明了设计的航姿测量系统对小型尾坐式飞行器的适用性。 | Finally, the attitude algorithm is verified by experiment algorithm, adaptive UKF filter and strong tracking algorithm, the feasibility of the experimental results show that the design of navigation pose measurement system for small tail seated the applicability of the aircraft. |
8980 | 针对极化敏感阵列信号波达方向(direction of arrival,DOA)估计问题,提出了一种基于塔克张量域序贯截断高阶奇异值分解的正则极化旋转不变参数估计(Tucker tensor based regularized polarimetric estimation of signal parameters via rotational invariance technique,trpESPRIT)方法。 | In view of the polarization sensitive array signal DOA (direction of concatenated, DOA) estimation problem, put forward a kind of based on sequential Tucker tensor domain truncation of higher order singular value decomposition of regular polarization rotation invariant parameter estimation (Tucker tensor -based regularized polarimetric estimation of signal parameters via rotational invariance technique, trpESPRIT) method. |
8981 | 首先对阵列接收信号进行塔克张量建模,之后通过序贯截断高阶奇异值分解获得塔克张量域信号子空间,最后利用多旋转不变子空间幅相关系获得信号DOA估计。 | First array receiving signals for tucker tensor model, through the sequential truncation of higher order singular value decomposition to obtain tucker tensor domain signal subspace, and finally use the rotational invariant subspace of the relationship getting signal DOA estimation. |
8982 | 相比于传统矩阵建模方法,塔克张量建模更便于组织多维数据结构,实现高维的数据匹配操作,而序贯截断高阶奇异值分解则可以获得更高的信号子空间估计精度以及后续的DOA估计。 | Compared to traditional matrix method tucker tensor modeling multidimensional data structure, easier to organize implementation of high-dimensional data matching operation, while sequential truncation of higher order singular value decomposition can achieve higher signal subspace estimation precision and subsequent DOA estimation. |
8983 | 仿真结果表明,trpESPRIT方法较之常规矩阵方法和矢量方法可以更好地抑制噪声,具有更高的信号DOA估计精度,在低信噪比和低快拍条件下仍然具有良好的分辨能力。 | TrpESPRIT simulation results indicate that the method is compared with the conventional method of matrix and vector method can suppress the noise better, have a higher signal DOA estimation precision, in under the condition of low SNR and low fast, still has a good resolving power. |