A guaranteed estimate of deterioration in the precision characteristics of filtering algorithms when the amount of erroneous information is known (Q1903431)
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scientific article; zbMATH DE number 821810
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A guaranteed estimate of deterioration in the precision characteristics of filtering algorithms when the amount of erroneous information is known |
scientific article; zbMATH DE number 821810 |
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A guaranteed estimate of deterioration in the precision characteristics of filtering algorithms when the amount of erroneous information is known (English)
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10 January 1996
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The paper deals with linear stochastic systems with observations which are noise corrupted for a fixed percentage of time and pure noise for the remaining time. The problem is to suitably position the observation intervals in order to maximize the filtering error covariance. As a result an upper bound for the deterioration in filtering precision is obtained. An example dealing with space objects re-entry is finally provided.
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observations scheduling
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linear
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observation
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filtering precision
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0.7571983337402344
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0.7508652210235596
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0.7469080090522766
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