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The Initial Alignment of SINS Based on Neural Network

机译:基于神经网络的捷联惯导系统的初始对准

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Strap-down Inertial Navigation System (SINS) is the development direction of the inertial navigation technology. Its working precision based not only on the inertial measurement units, but also on the initial alignment. This paper uses the N-Tupple neural network in their research, gives principal algorithm and the training algorithm of N-Tupple, and the computer simulation is done. The simulation shows that, the alignment precision of the neural network method is higher than the normal methods, and the greatly reduced alignment time shows the advantage of the new method.
机译:捷联惯性导航系统(SINS)是惯性导航技术的发展方向。它的工作精度不仅取决于惯性测量单位,而且还取决于初始对准。本文利用N-Tupple神经网络进行研究,给出了N-Tupple的主要算法和训练算法,并进行了计算机仿真。仿真结果表明,神经网络方法的对准精度高于常规方法,大大减少了对准时间,显示了新方法的优势。

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