Two-Sensor Information Fusion with Out-of-Sequence Measurement

Xi Bin Zhang

doi:10.4028/www.scientific.net/AMR.468-471.1158

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 468-471Two-Sensor Information Fusion with Out-of-Sequence...

Two-Sensor Information Fusion with Out-of-Sequence Measurement

Abstract:

In sensor tracking system, Out-Of-Sequence Measurement(OOSM) always occur due to communication delays. The system needs to update the OOSM in order to improve the precision. An optimal information fusion estimation weighted by scalars is presented for two-sensor information fusing with OOSM, which considers correlation between local errors, and avoid to compute the weighted matrix. It is easy to apply in real-time.

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Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

1158-1162

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.468-471.1158

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Online since:

February 2012

Authors:

Xi Bin Zhang

Keywords:

Information Fusion, Least Square (LS), OOSM, Weighted by Scalars

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References

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