Adaptive unscented Kalman filter for initial alignment of strapdown inertial navigation systems
作者： Jun-Hou Wang , Jia-Bin Chen
DOI: 10.1109/ICMLC.2010.5580847
关键词:
摘要: In order to improve the performance of unscented Kalman filter with uncertain or time-varying noise statistic, a novel adaptive statistic estimator is utilized initial alignment on swaying base. This makes use output measurement information online update mean and covariance noise. The updated are further feed back into normal filter. simulation results demonstrate that superior
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