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首页> 外文会议>International Conference on Advanced Composite Materials and Manufacturing Engineering >Prediction of SINS/GPS Navigation Information by ELM Algorithm during GPS outages
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Prediction of SINS/GPS Navigation Information by ELM Algorithm during GPS outages

机译：在GPS中断期间，ELM算法预测SINS / GPS导航信息

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SINS/GPS integrated navigation has received great attention recently due to its impressive navigation accuracy on missile-borne platforms.However,it remains an ongoing challenge to address the problem of GPS signal loss.Furthermore,the limited space and power consumption of a projectile have made it challenging to carry out time-consuming iterative calculations.In this paper,ELM is proposed for the first time to predict the navigation information on the missile-borne platform for its simpler neural network structure and no iterative calculation.Comparing it with the algorithms of BP and GABP,the simulation results reveal that the ELM algorithm is more time-saving with higher prediction accuracy than the others.More importantly,the number of parameters needed to be set is much less than those of the other two algorithms,which is beneficial for its practical application.
机译：由于其导弹平台上令人印象深刻的导航准确性，SINS / GPS综合导航最近受到了极大的关注。然而，解决GPS信号损失问题仍然是一个持续的挑战。摘要，射弹的有限空间和功耗有限。使耗时的迭代计算挑战。本文首次提出了ELM，以预测导弹平台的导航信息，以实现其更简单的神经网络结构，并且没有迭代计算。与算法相比，它没有迭代计算。 BP和GABP的仿真结果表明，ELM算法比其他预测精度更高的预测精度更高。重要的是，所需的参数数量远小于其他两个算法的数量。有益于其实际应用。

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