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^4fImproved GPS/INS Integration in Vibration Environments

机译:^ 4Fimproved在振动环境中的GPS / INS集成

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^7fEspecially in missile applications, the INS is often exposed to significant vibration levels. Although the noise induced by these vibrations may have a considerable impact on inertial navigation performance, the vibration environment is often ignored when the data fusion algorithm is designed and the inertial sensors are selected. It is shown in this paper that the accuracy of the navigation solution is improved if the time correlations of the vibration induced noise are considered by means of a Schmidt-Kalman filter. Additionally, this technique allows to use lower grade sensors without affecting the system performance. However, this is only possible if appropriate models for the vibration induced noise processes are known. Therefore, an efficient method was developed for the autonomous identification of these noise process models from the IMU data during flight, which provides estimates of the model parameters hardly influenced by the trajectory dynamics.
机译:^ 7,在导弹应用中,INS通常暴露于显着的振动水平。尽管这些振动引起的噪声可能对惯性导航性能具有相当大的影响,但是当设计数据融合算法并且选择惯性传感器时通常忽略振动环境。本文示出了,如果通过施密特-Kalman滤波器考虑振动诱导噪声的时间相关性,则改善了导航解决方案的精度。此外,该技术允许在不影响系统性能的情况下使用较低等级的传感器。然而,如果已知用于振动诱导噪声过程的适当模型,则才有可能。因此,开发了一种有效的方法,用于从飞行期间从IMU数据自主识别这些噪声处理模型,这提供了对轨迹动态几乎不影响的模型参数的估计。

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