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| DOI：10.1007/s11768-010-9178-8 |
| Received:September 03, 2009Revised:September 03, 2009 |
| 基金项目:The Hong Kong University of Science and Technology Direct Allocation Grant (DAG08/09.EG06). |
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| State estimation over a communication network:measurement or estimate communication? |
| Ling SHI,Ye YUAN,Michael Z.Q.CHEN |
| (Hong Kong University of Science and Technology;University of Cambridge;Nanjing University of Science and Technology) |
| Abstract: |
| In this paper we consider the problem of state estimation over a communication network. Using estimation
quality as a metric, two communication schemes are studied and compared. In scheme one, each sensor node communicates
its measurement data to the remote estimator, while in scheme two, each sensor node communicates its local state estimate
to the remote estimator. We show that with perfect communication link, if the sensor has unlimited computation capability,
the two schemes produce the same estimate at the estimator, and if the sensor has limited computation capability, scheme
one is always better than scheme two. On the other hand, when data packet drops occur over the communication link, we
show that if the sensor has unlimited computation capability, scheme two always outperforms scheme one, and if the sensor
has limited computation capability, we show that in general there exists a critical packet arrival rate, above which scheme
one outperforms scheme two. Simulations are provided to demonstrate the two schemes under various circumstances. |
| Key words: Networked estimation Kalman filtering Packet-dropping network |
