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The prediction accuracy of grey theory was limited by it’s high requirement of data’s smoothness. BP neural is adept in solving nonlinear problem and performs well in self-adaption and self organization, but it’s training effect and efficiency was limited by the number of data. A hybrid model combined advantages of grey theory and BP(More)
In order to reduce the coarse alignment time of strapdown inertial navigation system(SINS), an analytic initial coarse alignment method is proposed based on two-step recursive least squares estimation. The initial attitude matrix which represents the attitude and heading of SINS is estimated by two steps in the method. Firstly, some elements in the initial(More)
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