Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1684-1719. 2020. No. 12
ContentsFull text in Russian (pdf)
DOI https://doi.org/10.30898/1684-1719.2020.12.9
UDC 537.86
Algorithm for recovery of electromagnetic radiation sources from a printed circuit board in the near zone
I. V. Skvortsov, R. R. Latypov
Kazan (Volga Region) Federal University, Kremlin str., 18, Kazan 420008, Russia
The paper is received on December 5, 2020
Abstract. This article presents an algorithm for recovering radiation sources from a printed circuit board in the near field. The model of the printed circuit board is represented by the Hertz dipoles, the equations for which are known. The basis of the reconstruction algorithm is LASSO regression, which allows one to recover the parameters of radiation sources with a higher accuracy than the classical Tikhonov regularization method widely used in similar problems. To use the reconstruction algorithm, it is necessary to have experimental data on electromagnetic radiation from the printed circuit board. Such data can be obtained using a planar scan method. This article presents the experimental results of reconstructing radiation sources from a printed circuit board using the proposed algorithm.
Key words: LASSO regression, reconstructed dipole distribution, printed circuit board.
References
1. Tong X. Simplified equivalent modelling of electromagnetic emissions from printed circuit boards. University of Nottingham, PhD thesis. 2010.
2. Gorbunova A.A. Identifikatsiya parametrov istochnikov pobochnykh elektromagnitnykh izlucheniy po izmereniyam v blizhney zone [Identification of parameters of sources of spurious electromagnetic radiation by measurements in the near zone]. Moscow, Moscow Aviation Institute. 2014. 154 p.
3. Tibshirani R. Regression Shrinkage and Selection via the lasso. Journal of the Royal Statistical Society. Series B (methodological). 1996. Vol.58. No.1. P.267–288.
4. Skvortsov I.V., Bochkarev V.V., Latypov R.R. Estimation of localization of point sources from printed circuit board in the near field. Journal of Physics Conference Series. 2018. Vol.1038. P.1-5.
5. Skvortsov I.V., Bochkarev V.V., Latypov R.R. Localization of distributed radiation sources from from printed circuit board in the near field using wavelet transform. Journal of Physics. Conference Series. 2018. Vol.1135. P.1-5.
6. Skvortsov I.V., Latypov R.R., Sherstyukov O.N., Babaev R.F. Experimental setup for measuring electromagnetic radiation from a radiating structure in the near field. Zhurnal Radioelektroniki - Journal of Radio Electronics. 2019. No.11.
https://doi.org/10.30898/1684-1719.2019.11.13
7. Laurin J.J., Zürcher J.F., Gardiol F.E. Near-field diagnostics of small printed antennas using the equivalent magnetic current approach. IEEE Trans. Antennas Propagat. 2001. Vol.49. No.5. P.814-828.
8. Akaike, H. A new look at the statistical model identification. IEEE Transactions on Automatic Control. 1974. Vol.19. P. 16-723.
For citation:
Skvortsov I.V., Latypov R.R. Algorithm for recovery of electromagnetic radiation sources from a printed circuit board in the near zone. Zhurnal Radioelektroniki - Journal of Radio Electronics. 2020. No.12. https://doi.org/10.30898/1684-1719.2020.12.9 (In Russian)