scholarly journals Analysis of the filtering effect of the stochastic estimation and accuracy improvement by sensor location optimization

2016 ◽  
Vol 57 (12) ◽  
Author(s):  
A. Arnault ◽  
J. Dandois ◽  
J.-C. Monnier ◽  
J. Delva ◽  
J.-M. Foucaut
Keyword(s):  
Stochastic Estimation ◽  
Sensor Location ◽  
Accuracy Improvement ◽  
Location Optimization ◽  
Filtering Effect

Error sensor location optimization for active soft edge noise barrier

2007 ◽  
Vol 299 (1-2) ◽  
pp. 409-417 ◽  
Author(s):  
Feng Niu ◽  
Haishan Zou ◽  
Xiaojun Qiu ◽  
Ming Wu
Keyword(s):  
Sensor Location ◽  
Location Optimization ◽  
Noise Barrier ◽  
Soft Edge

Sensor Location Optimization for Distributed Parameter Systems Based on Wavelet Transforms

2012 ◽  
Vol 482-484 ◽  
pp. 1747-1753
Author(s):  
Gui Ge Gao ◽  
Xian Wen Zeng
Keyword(s):  
Parameter Identification ◽  
Wavelet Transforms ◽  
Information Matrix ◽  
Great Influence ◽  
Distributed Parameter Systems ◽  
Differential Sensitivity ◽  
Distributed Parameter ◽  
Sensor Location ◽  
Optimal Measurement ◽  
Location Optimization

The sensor location optimization is the special problem of distributed parameter systems(DPS) for parameter identification. It has a great influence on the accuracy of parameter identification and it is important to optimal control of DPS. Therefore, it has a great significance to research the strategy of sensor optimal measurement locations for DPS. In this paper, based on the orthogonal function approximation method, Haar wavelet transforms method is applied to research the problem of sensor measurement locations of DPS. The method based on Fisher information matrix derived from the differential sensitivity equations is proposed to determine the sensor optimal measurement locations. The identification examples prove that the proposed method based on wavelet transforms is feasible and effective to locate the sensor in order to obtain the optimal measurement values. The algorithm makes the calculation simple, easy and accurate.

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