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State estimation over a communication network:measurement or estimate communication?
Received:September 3,2009  Revised:September 3,2009
Keywords:Networked estimation  Kalman filtering  Packet-dropping network
Fund Project:The Hong Kong University of Science and Technology Direct Allocation Grant (DAG08/09.EG06).
AuthorInstitutionE-mail
Ling SHI Hong Kong University of Science and Technology eesling@ust.hk 
Ye Yuan University of Cambridge  
Michael Z. Q. CHEN Nanjing University of Science and Technology  
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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.
Ling SHI,Ye YUAN and Michael Z.Q.CHEN.State estimation over a communication network:measurement or estimate communication?[J].Journal of Control Theory and Applications,2010,8(1):20~26.
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