This work deals with error models for trident quaternion framework proposed in the companion paper (Part I) and further uses them to investigate the odometer-aided static/in-motion inertial navigation attitude alignment for land vehicles. By linearizing the trident quaternion kinematic equation, the left and right trident quaternion error models are obtained, which are found to be equivalent to those derived from profound group affine. The two error models are used to design their corresponding extended Kalman filters (EKF), namely, the left-quaternion EKF (LQEKF) and the right-quaternion EKF (RQEKF). Simulations and field tests are conducted to evaluate their actual performances. Owing to the high estimation consistency, the L/RQEKF converge much faster in the static alignment than the traditional error model-based EKF, even under arbitrary large heading initialization. For the in-motion alignment, the L/RQEKF possess much larger convergence region than the traditional EKF does, although they still require the aid of attitude initialization so as to avoid large initial attitude errors.
翻译:这项工作涉及随附文件(第一部分)中提议的三叉戟框架的错误模型,并进一步利用这些模型调查陆地车辆的高计辅助静/内惯性惯性导航姿态对齐。通过对三叉戟动动动方程式进行线性处理,获得了左和右三叉四向误差模型,发现这些模型与深层群体产生的模型相当。这两个错误模型用于设计相应的卡尔曼延伸过滤器(KEF),即左方和右方的EKF(RQEKF),同时进行模拟和实地测试,以评估其实际性能。由于估算的一致性很高,L/RQEKF在静态对齐方面比传统的以错误模型为基础的KEF趋同速度要快得多,即使是在任意的大标题初始化之下。对于职位调整而言,L/RQEKF拥有比传统的EKF要大得多的聚合区域,尽管它们仍然需要姿态初始状态的帮助,以避免大的最初态度错误。