说明：  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