A least squares approach to size effect in inertial navigation

Sharon Eilon
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引用次数: 4

Abstract

This paper deals with the size effect problem in high-end Inertial Navigation Systems (INS). A focus is given to velocity errors in the geographical frame, which endure even after dynamic angular conditions are terminated. A least squares (LS) approach is taken to derive an algorithm for size effect compensation. The suggested algorithm implementation is based on low computation rate and does not involve highsampled increments. A performance analysis of the algorithm is presented, both in simulation and in real-life systems' tests.
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惯性导航中尺寸效应的最小二乘方法
研究了高端惯性导航系统中的尺寸效应问题。重点是地理框架中的速度误差,即使在动态角度条件终止后,速度误差仍然存在。采用最小二乘方法推导了尺寸效应补偿算法。建议的算法实现基于低计算率,不涉及高采样增量。给出了该算法在仿真和实际系统测试中的性能分析。
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