Numerical Simulation of Underground Plant Rhizome Detection

Sheng Long Du; Shu Sheng Peng; Feng Xu; Li Wu

doi:10.4028/www.scientific.net/AMM.433-435.489

Paper Titles

Research on the Power Prediction of Photovoltaic Power Station Based on LMS Adaptive Filter
p.464

Identification of Power Quality Disturbances Based on EEMD and TEO
p.469

A Feature Extraction Method of Gear Fault Based on the SVD EMD and Morphology
p.477

Study of the Fault Diagnosis Based on Wavelet and Neural Network for the Motor
p.483

Numerical Simulation of Underground Plant Rhizome Detection
p.489

Research of Fault Diagnosis of Coalmine Motor Bearings Based on Scale Adaptive Lifting Wavelet Transform
p.494

Research on Algorithm in Fast Modular Exponentiation Based on FPGA
p.499

Target Tracking in Sensor Networks Using Additive Divided Difference Information Filtering Method
p.503

ECG Denoising Based on MP Algorithm
p.510

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Numerical Simulation of Underground Plant Rhizome...

Numerical Simulation of Underground Plant Rhizome Detection

Abstract:

Attention is put on FDTD algorithm to simulate electromagnetic travelling underground with XFDTD software in this paper to get echo data of underground plant rhizome. A reasonable simulation model is established with some permittivity and conductivity, and choice of grid size and absorbing boundary is supposed to simulate detecting ability for plant rhizome. Adding noise model is supported and wavelet threshold de-noising algorithm is used to process echo signal with noise, and root mean square error (RMSE) is obtained with different SNR. At the same SNR, the relationship of target echo and object size is presented.

You might also be interested in these eBooks

Advances in Mechatronics and Control Engineering II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

489-493

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.489

Citation:

Cite this paper

Online since:

October 2013

Authors:

Sheng Long Du, Shu Sheng Peng, Feng Xu, Li Wu

Keywords:

FDTD, Model, Plant Rhizome, RMSE, SNR

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Egil S. Eide. Radar imaging of small objects closely below the earth surface. Doctoral thesis, Norwegian University of Science and Technology, Norway, August (2000).

Google Scholar

[2] Full-wave, 3D, Electromagntic Analysis Software XFDTD Reference Manual, Version 6. 3.

Google Scholar

[3] Fang Hui, Studying the Dispersion from Heterogeneous Underground Materials in Ground Penetration Radar, China University of Geosciences (Beijing).

Google Scholar

[4] F.T. Ulaby and M.A. El-Rayes. Microwave dielectric spectrum of vegetation-Part 2: dual-dispersion model. IEEE Trans. Geosci Remote Sensing, 1987, 25(5).

DOI: 10.1109/tgrs.1987.289833

Google Scholar

[5] Ge DeBiao, Yan YuBo, Finite-Difference Time-Domain Method for Elrctromagnetic Waves, Xi'an Electronic and Science University press.

Google Scholar

[6] Z.P. Liao H.L. Wong G.P. Yang, and Y.F. Yuan, A transmitting boundary for transient wave analysis, Scientia Sinica, Vol. 28, no. 10, pp.1063-1076, Oct. (1984).

Google Scholar

[7] J.P. Berenger, A perfectly matched layer for the absorption of electromagnetic waves,J. Computat. Phys., Oct. (1994).

Google Scholar

[8] ZOU Harlin, NING Shu nian, LIN Jie, Application of wavelet theory in ground penetrating radar signal processing, China University of Mining & Technology, Beijing.

Google Scholar

[9] Hakan Brunzell, Detection of shallowly Buried Objects Using Impulse Radar , IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 37, NO. 2, MARCH (1999).

DOI: 10.1109/36.752207

Google Scholar