Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation
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 th...
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MDPI AG
2010-06-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/10/7/6406/ |
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doaj-91b383538f6b4340b024d663c03fdd4c2020-11-24T21:32:26ZengMDPI AGSensors1424-82202010-06-011076406642010.3390/s100706406Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked EstimationYoung Soo SuhYoung Sik RoHee Jun KangThis 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. http://www.mdpi.com/1424-8220/10/7/6406/networked estimationsampling periodsquantizationKalman filter |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Young Soo Suh Young Sik Ro Hee Jun Kang |
| spellingShingle |
Young Soo Suh Young Sik Ro Hee Jun Kang Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation Sensors networked estimation sampling periods quantization Kalman filter |
| author_facet |
Young Soo Suh Young Sik Ro Hee Jun Kang |
| author_sort |
Young Soo Suh |
| title |
Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation |
| title_short |
Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation |
| title_full |
Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation |
| title_fullStr |
Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation |
| title_full_unstemmed |
Optimization of the Sampling Periods and the Quantization Bit Lengths for Networked Estimation |
| title_sort |
optimization of the sampling periods and the quantization bit lengths for networked estimation |
| publisher |
MDPI AG |
| series |
Sensors |
| issn |
1424-8220 |
| publishDate |
2010-06-01 |
| description |
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. |
| topic |
networked estimation sampling periods quantization Kalman filter |
| url |
http://www.mdpi.com/1424-8220/10/7/6406/ |
| work_keys_str_mv |
AT youngsoosuh optimizationofthesamplingperiodsandthequantizationbitlengthsfornetworkedestimation AT youngsikro optimizationofthesamplingperiodsandthequantizationbitlengthsfornetworkedestimation AT heejunkang optimizationofthesamplingperiodsandthequantizationbitlengthsfornetworkedestimation |
| _version_ |
1725957615270232064 |