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改进的高动态GPS定位自适应卡尔曼滤波方法 总被引:37,自引:5,他引:32
本文针对高动态GPS不易确定动态噪声和观测噪声的特点,提出了一种适用于高动态GPS定位的改进的自适应卡尔曼滤波方法。该方法具有数值稳定性好,存储量小的优点,克服了发散的缺点,具有较强的自适应性。 相似文献
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Todd L. Walton Jr 《Ocean Engineering》2000,27(1):1811
Investigation of shoreline change signals in the presence of possible non-stationarity is attempted via Karhunen–Loeve filtering to separate the actual shoreline signal change from that of random noise. Interpretation is made of the signal and noise normalized covariance and spectra to help in delineating natural change versus man-made change patterns for a section of shoreline where a navigation channel existed over a portion of the shoreline history. 相似文献
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Geoid models from the new generation of satellite gravity missions, such as GRACE and GOCE, in combination with sea surface
from satellite altimetry allow to obtain absolute dynamic ocean topography with rather high spatial resolution and accuracy.
However, this implies combination of data with fundamentally different characteristics and different spatial resolutions.
Spectral consistency would imply the removal of the short-scale features of the altimetric sea surface height by filtering,
to provide altimetric data consistent with the resolution of the geoid field. The goal must be to lose as little as possible
from the high precision of the altimetric signal. Using a one-dimensional example we show how the spectrum is changing when
a function defined only on a limited domain (ocean in the real case) is extended or not as to cover the complete domain (the
whole sphere in the real case). The results depend on the spectral characteristics of the altimetric signal and of the applied
filter. Referring to the periodicity condition, as it is requested in the case of Fourier analysis, the action of the two
classical filters (Ideal Low Pass and Gauss filter) and of two alternative procedures (wavelets and Slepian) is studied. 相似文献