<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper studies some key technology of multifunctional sensor signal reconstruction. The multifunctional sensor signal reconstruction problem, presented a multifunctional sensor signal reconstruction method based on B spline and the extended Caiman filter. The method of inverse model of the process was studied, gives a method to estimate signal reconstruction accuracy and computation. Genetic algorithm is proposed to balance the multifunctional sensor signal reconstruction accuracy and computation based on. In order to further reduce the sampling effort of large quantities of multifunctional sensor signal reconstruction, is proposed based on the reduction method clustering multifunctional sensor sample selection method, to select the reasonable distribution, suitable for inverse training data model. A new direction to study the theory of multi sensor information fusion is to design and analysis more efficient processing of multi sensor intelligent system is proposed and developed. With the continuous improvement of the intelligent system requirements, research on information fusion of multi-sensor system is affected by the people more and more attention.</p>
</abstract>

This paper studies some key technology of multifunctional sensor signal reconstruction. The multifunctional sensor signal reconstruction problem, presented a multifunctional sensor signal reconstruction method based on B spline and the extended Caiman filter. The method of inverse model of the process was studied, gives a method to estimate signal reconstruction accuracy and computation. Genetic algorithm is proposed to balance the multifunctional sensor signal reconstruction accuracy and computation based on. In order to further reduce the sampling effort of large quantities of multifunctional sensor signal reconstruction, is proposed based on the reduction method clustering multifunctional sensor sample selection method, to select the reasonable distribution, suitable for inverse training data model. A new direction to study the theory of multi sensor information fusion is to design and analysis more efficient processing of multi sensor intelligent system is proposed and developed. With the continuous improvement of the intelligent system requirements, research on information fusion of multi-sensor system is affected by the people more and more attention.

Research Of Multi Sensor Intelligent System Signal Fusion And Reconstruction

department of Mechanical and Electrical Engineering

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Research Of Multi Sensor Intelligent System Signal Fusion And Reconstruction"}

This paper studies some key technology of multifunctional sensor signal reconstruction. The multifunctional sensor signal reconstruction problem, presented a...

Research Of Multi Sensor Intelligent System Signal Fusion And Reconstruction

Online veröffentlicht: 01. Dez. 2014

Seitenbereich: 1701 - 1716

Eingereicht: 05. Juli 2014

Akzeptiert: 12. Nov. 2014

DOI: https://doi.org/10.21307/ijssis-2017-728

Schlüsselwörter
Multi-sensor, signal reconstruction, complex, sample detection

© 2014 Junjie Yang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Research Of Multi Sensor Intelligent System Signal Fusion And Reconstruction

Online veröffentlicht: 01. Dez. 2014

Seitenbereich: 1701 - 1716

Eingereicht: 05. Juli 2014

Akzeptiert: 12. Nov. 2014

DOI: https://doi.org/10.21307/ijssis-2017-728

SchlüsselwörterMulti-sensor, signal reconstruction, complex, sample detection

© 2014 Junjie Yang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Multi-sensor, signal reconstruction, complex, sample detection