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An Improved Inertial Frame Alignment Algorithm Based on Horizontal Alignment Information for Marine SINS

机译:一种基于水平对准信息的改进型惯性惯性系对准算法

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In this paper, an improved inertial frame alignment algorithm for a marine SINS under mooring conditions is proposed, which significantly improves accuracy. Since the horizontal alignment is easy to complete, and a characteristic of gravity is that its component in the horizontal plane is zero, we use a clever method to improve the conventional inertial alignment algorithm. Firstly, a large misalignment angle model and a dimensionality reduction Gauss-Hermite filter are employed to establish the fine horizontal reference frame. Based on this, the projection of the gravity in the body inertial coordinate frame can be calculated easily. Then, the initial alignment algorithm is accomplished through an inertial frame alignment algorithm. The simulation and experiment results show that the improved initial alignment algorithm performs better than the conventional inertial alignment algorithm, and meets the accuracy requirements of a medium-accuracy marine SINS.
机译:提出了一种改进的船舶惯性系泊条件下惯性坐标系对准算法,大大提高了精度。由于水平对准很容易完成,并且重力的特征是其在水平面中的分量为零,因此我们使用一种巧妙的方法来改进常规惯性对准算法。首先,采用大偏心角模型和降维高斯-赫尔米特滤波器建立精细的水平参考系。基于此,可以容易地计算出重力在车身惯性坐标系中的投影。然后,通过惯性帧对准算法完成初始对准算法。仿真和实验结果表明,改进后的初始对准算法的性能优于常规惯性对准算法,能够满足中等精度海事捷联惯导系统的精度要求。

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