Hybrid Sparse Reconstruction-Method of Moments for Diagnosis of Wire Antenna Arrays

Authors

  • Huapeng Zhao School of Electronic Engineering University of Electronic Science and Technology of China, Chengdu, 611731, P. R. China
  • Ying Zhang School of Electronic Engineering University of Electronic Science and Technology of China, Chengdu, 611731, P. R. China
  • Jun Hu School of Electronic Engineering University of Electronic Science and Technology of China, Chengdu, 611731, P. R. China
  • Zhizhang Chen School of Electronic Engineering University of Electronic Science and Technology of China, Chengdu, 611731, P. R. China

Keywords:

Array diagnosis, integral equation, method of moments, sparse reconstruction

Abstract

In this work, sparse reconstruction is hybridized with method of moments (MoM) for diagnosis of wire antenna arrays. In the hybrid method, excitation voltages of array under diagnosis are related to near field observations through integral equations (IEs), and IEs are transformed into matrix equations by MoM. Sparse reconstruction is then used to solve excitation voltages of array under diagnosis. Finally, locations of failing elements are found by the solved excitation voltages. The hybrid method models mutual coupling effect by MoM, and it achieves higher diagnosis reliability than sparse reconstruction without mutual coupling consideration. Simulation results are presented to show the validity and advantages of the hybrid method.

Downloads

Download data is not yet available.

References

M. D. Migliore, “A compressed sensing approach for array diagnosis from a small set of near-field measurements,” IEEE Trans. Antennas Propagat., vol. 59, no. 6, pp. 2127-2133, June 2011.

——, “Array diagnosis from far-field data using the theory of random partial Fourier matrices,” IEEE Antennas Wireless Propagat. Lett., vol. 12, pp. 153-166, 2013.

G. Oliveri, P. Rocca, and A. Massa, “Reliable diagnosis of large linear arrays-A Bayesian compressive sensing approach,” IEEE Trans. Antennas Propagat., vol. 60, no. 10, pp. 4627-4636, Oct. 2012.

H. Zhao, Y. Zhang, E.-P. Li, A. Buonanno, and M. D’Urso, “Diagnosis of array failure in impulsive noise environment using unsupervised support vector regression method,” IEEE Trans. Antennas Propagat., vol. 61, no. 11, pp. 5508-5516, Nov. 2013.

Y. Zhang and H. Zhao, “Failure diagnosis of a uniform linear array in the presence of mutual coupling,” IEEE Antennas Wireless Propagat. Lett., vol. 14, pp. 1010-1013, 2015.

P. Li, Y. Li, L. Jiang, and J. Hu, “A wide band equivalent source reconstruction method exploiting the Stoer-Bulirsch algorithm with the adaptive frequency sampling,” IEEE Trans. Antennas Propagat., vol. 61, no. 10, pp. 5338-5343, Oct. 2013.

M. Bod, R. Sarraf-Shirazi, GH. Moradi, and A. Jafargholi, “A regularized source current reconstruction method for reactive near field to far field transformation,” Applied Computational Electromagnetics Society Journal, vol. 32, no. 2, pp. 113- 119, 2017.

D. Shi and Y. Gao, “Electromagnetic radiation source identification based on spatial characteristics by using support vector machines,” Applied Computational Electromagnetics Society Journal, vol. 32, no. 2, pp. 120-127, 2017.

W. Gibson, The Method of Moments in Electromagnetics. New York: Chapman and Hall, 2008.

J. M. Tamayo, A. Heldring, and J. M. Rius, “Multilevel adaptive cross approximation (MLACA),” IEEE Trans. Antennas Propagat., vol. 59, no. 12, pp. 4600-4608, Dec. 2011.

H. Zhao and Y. Zhang, “Extrapolation of wideband electromagnetic response using sparse representation,” IEEE Trans. Antennas Propagat., vol. 60, no. 2, pp. 1026-1034, Feb. 2012.

Downloads

Published

2021-07-30

How to Cite

[1]
Huapeng Zhao, Ying Zhang, Jun Hu, and Zhizhang Chen, “Hybrid Sparse Reconstruction-Method of Moments for Diagnosis of Wire Antenna Arrays”, ACES Journal, vol. 32, no. 10, pp. 882–887, Jul. 2021.

Issue

Section

Articles