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Sensors 2010, 10(7), 6406-6420; doi:10.3390/s100706406
Article

Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation

* ,
 and
Department of Electrical Engineering, University of Ulsan, Namgu, Ulsan 680-749, Korea
* Author to whom correspondence should be addressed.
Received: 1 February 2010 / Revised: 17 April 2010 / Accepted: 12 May 2010 / Published: 29 June 2010
(This article belongs to the Special Issue Intelligent Sensors - 2010)
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Abstract

This paper is concerned with networked estimation, where sensor data are transmitted over a network of limited transmission rate. The transmission rate depends on the sampling periods and the quantization bit lengths. To investigate how the sampling periods and the quantization bit lengths affect the estimation performance, an equation to compute the estimation performance is provided. An algorithm is proposed to find sampling periods and quantization bit lengths combination, which gives good estimation performance while satisfying the transmission rate constraint. Through the numerical example, the proposed algorithm is verified.
Keywords: networked estimation; sampling periods; quantization; Kalman filter networked estimation; sampling periods; quantization; Kalman filter
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Soo Suh, Y.; Sik Ro, Y.; Jun Kang, H. Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation. Sensors 2010, 10, 6406-6420.

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