2006Journal of Earth Sciences and EnvironmentRequires access

Federated Filtering Arithmetic with Colored Noise

Chunjie Wu

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Abstract

The accuracy and reliability of the kinematic positioning are affected by not only the random noise and systematic errors,but also the colored noised related to time.Any theory or technique based on the hypothesis of Gaussian white noise ignoring the colored noise cannot guarantee the actual reliability of the parameter estimates.On the basis of federated filtering,a federated filtering with colored noise is put forward.The calculation results show that the new arithmetic will give the more actual and reliable parameter estimation of the integrated navigation system.

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What this paper is about

The accuracy and reliability of the kinematic positioning are affected by not only the random noise and systematic errors,but also the colored noised related to time.Any theory or technique based on the hypothesis of Gaussian white noise ignoring the colored noise cannot guarantee the actual reliability of the parameter estimates.On the basis of federated filtering,a federated filtering with colored noise is put forward.The calculation results show that the new arithmetic will give the more actual and reliable parameter estimation of the integrated navigation system.

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Available abstract

The accuracy and reliability of the kinematic positioning are affected by not only the random noise and systematic errors,but also the colored noised related to time.Any theory or technique based on the hypothesis of Gaussian white noise ignoring the colored noise cannot guarantee the actual reliability of the parameter estimates.On the basis of federated filtering,a federated filtering with colored noise is put forward.The calculation results show that the new arithmetic will give the more actual and reliable parameter estimation of the integrated navigation system.

Key concepts: Colored, Colors of noise, Noise (video), Computer science, Gaussian noise, White noise, Reliability (semiconductor), Additive white Gaussian noise

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