Distributed Moving Horizon State Estimation for Wireless Sensor Networks Using Multiple Quantized Data

Luo Ji-an; Chai Li; Wang Zhi

doi:10.3724/SP.J.1146.2008.00112

Volume 31 Issue 12

Dec. 2010

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Luo Ji-an, Chai Li, Wang Zhi. Distributed Moving Horizon State Estimation for Wireless Sensor Networks Using Multiple Quantized Data[J]. Journal of Electronics & Information Technology, 2009, 31(12): 2819-2823. doi: 10.3724/SP.J.1146.2008.00112

Citation:

Luo Ji-an, Chai Li, Wang Zhi. Distributed Moving Horizon State Estimation for Wireless Sensor Networks Using Multiple Quantized Data[J]. Journal of Electronics & Information Technology, 2009, 31(12): 2819-2823. doi: 10.3724/SP.J.1146.2008.00112

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Distributed Moving Horizon State Estimation for Wireless Sensor Networks Using Multiple Quantized Data

doi: 10.3724/SP.J.1146.2008.00112

Luo Ji-an^①;柴利,
Chai Li,
Wang Zhi

Received Date: 2008-01-22
Rev Recd Date: 2009-10-20
Publish Date: 2009-12-19

Abstract

Abstract

In this paper, a distributed moving horizon state estimation approach is presented based on multi-bit quantized data. Each sensor node preserves a list of thresholds which are used to quantize observations into multiple bits. After receiving these bits, the Fusion Center (FC) makes the final estimation for system states. Simulation results show that the more number of thresholds, better estimation results will be made, Which is Consistent with Common Sense. Compared with single bit distributed moving horizon state estimation, this method avoids FC sending the estimate information back to sensor nodes and provides higher precision of state estimation.

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References(1)

References

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