文件名称:06178086
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When the measurement errors in Kalman filtering are time
correlated, time-differencing approaches are conventionally
applied to deal with the time-correlated errors, but they are
subject to practical limitations, such as time latency and
numerical issues that stem from matrix inversion. This paper
proposes two new algorithms to resolve the issues by augmenting
correlated, time-differencing approaches are conventionally
applied to deal with the time-correlated errors, but they are
subject to practical limitations, such as time latency and
numerical issues that stem from matrix inversion. This paper
proposes two new algorithms to resolve the issues by augmenting
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06178086.pdf