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METHOD FOR APPLICATION OF IMPROVED UNSCENTED KALMAN FILTER ALGORITHM IN UNDERWATER INTEGRATED NAVIGATION

机译:改进的无味卡尔曼滤波算法在水下综合导航中的应用方法

摘要

A method for application of an improved unscented Kalman filter algorithm in underwater integrated navigation, the method comprising: defining a coordinate system to be used; establishing a state equation of an SINS/DVL subsystem in an underwater submarine stage; establishing a measurement equation of the SINS/DVL subsystem in the underwater submarine stage; establishing the state equation of the SINS/GPS subsystem in a water surface position correction stage; establishing a measurement equation of the SINS/GPS subsystem in the water surface position correction stage; and establishing a nonlinear filter equation in the underwater submarine stage. After a period of underwater submarine submersion, an AUV emerges from the water surface, and a non-linear filter equation is established in a water surface position correction stage, an improved unscented Kalman filter solution is conducted, thereby completing a time update, measurement update and filter update, and correcting timing position information. The method can improve the filtering solution efficiency and navigation accuracy of the underwater integrated navigation system, thereby reducing the calculation complexity of a filtering algorithm, and guaranteeing real-time performance and stability.
机译:一种改进的无味卡尔曼滤波算法在水下组合导航中的应用方法,包括:定义要使用的坐标系;建立水下潜艇阶段SINS / DVL子系统的状态方程;建立水下潜艇阶段SINS / DVL子系统的测量方程;在水面位置校正阶段建立SINS / GPS子系统的状态方程;在水面位置校正阶段建立SINS / GPS子系统的测量方程;在水下潜艇阶段建立非线性滤波方程。经过一段时间的水下潜水之后,AUV从水面浮出,并且在水面位置校正阶段建立了非线性滤波方程,进行了改进的无味卡尔曼滤波解,从而完成了时间更新,测量更新并更新过滤器,并更正定时位置信息。该方法可以提高水下组合导航系统的滤波解效率和导航精度,从而降低了滤波算法的计算复杂度,保证了实时性能和稳定性。

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