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An Attitude Estimation Algorithm for Satellite Navigation Array Against Gross Error

机译:卫星导航阵列与总误差的姿态估计算法

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Based on the assumption that the signal waveform of satellites is known, the DOA of each satellite signal can be estimated by using the maximum likelihood estimation method, and then the antenna array attitude can be estimated by using the DOA of two satellites. Under the jamming condition, the accuracy of DOA estimation of different satellites is different, even wrong estimation may happen, which leads to the failure of attitude estimation. In this paper, according to the accuracy analysis of the maximum likelihood estimation method and the attitude determination error analysis conclusion, the RANSAC based attitude estimation method against gross error is proposed in the process of the antenna array attitude determination, so as to improve the estimation accuracy and fault tolerance. Finally, the simulation results show the effectiveness of the proposed method.
机译:基于卫星信号波形是已知的,可以通过使用最大似然估计方法来估计每个卫星信号的DOA,然后可以通过使用两个卫星的DOA来估计天线阵列姿态。 在干扰条件下,不同卫星的DOA估计的准确性是不同的,甚至可能发生错误估计,这导致姿态估计的失败。 本文根据最大似然估计方法和姿态确定误差分析结论的准确性分析,基于Ransac基于误差误差的姿态估计方法在天线阵列姿态确定过程中提出,从而提高了估计 准确性和容错。 最后,仿真结果表明了该方法的有效性。

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