Hostname: page-component-848d4c4894-xm8r8 Total loading time: 0 Render date: 2024-06-19T18:42:41.421Z Has data issue: false hasContentIssue false
  • English
  • Français

Clutter removal for measuring low-frequency narrow-band antenna using spectral estimation

Published online by Cambridge University Press:  13 September 2018

C. F. Hu Open the ORCID record for C. F. Hu [Opens in a new window]  and
N. J. Li
C. F. Hu*
Affiliation:
Northwestern Polytechnical University, Youyi West Road, Xi'an, China
N. J. Li
Affiliation:
Northwestern Polytechnical University, Youyi West Road, Xi'an, China
*
Author for correspondence: C. F. Hu, E-mail: huchufeng@nwpu.edu.cn
Get access Rights & Permissions [Opens in a new window]

Abstract

The measurement accuracy of low-frequency narrow-band antenna is heavily influenced by its environment, which is also difficult to remove the clutter with a time gating. This paper proposes a method to improve the measurement accuracy of low-frequency narrow-band antenna using signal processing technique. The method is to predict the unknown value out of received original signal with an auto-regressive model (AR model) based on modern spectral estimation theory, and the parameters in AR model are calculated by maximum entropy spectral estimation algorithm. Thus, a wideband signal compared with the original band is obtained, and then the time-domain resolution is enhanced. The time gating is more exactly to separate the antenna radiation signal from multipath signals. The simulation and experimental results show that about 50% extended data for each ends of original band can be obtained after spectral extrapolation, and the time-domain resolution after extrapolation is twice than the original narrow-band signal, and the influence of measurement environment can be eliminated effectively. The method can be used to improve accuracy in actual antenna measurement.

Keywords

Antenna designmicrowave measurementsmodeling and measurements
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 11 , Issue 3 , April 2019 , pp. 215 - 219
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Paonessa, F, Virone, G, Capello, E, Addamo, G, Peverini, OA, Tascone, R, Bolli, P, Pupillo, G, Monari, M, Perini, F, Rusticelli, S, Lingua, AM, Piras, M, Aicardi, I and Maschio, P (2016) VHF/UHF antenna pattern measurement with unmanned aerial vehicles. IEEE Metrology for Aerospace, Florence, Italy.Google Scholar
2.Virone, G, Lingua, AM, Piras, M, Cina, A, Perini, F, Monari, J, Paonessa, F, Peverini, OA, Addamo, G and Tascone, R, (2014) Antenna pattern verification system based on a micro unmanned aerial vehicle (UAV). IEEE Antennas Wireless Propagation Letters 13, 169–172.Google Scholar
3.Aubin, J and Winebrand, M (2010) Side wall diffraction & optimal back wall design in elongated chambers for far–field antenna measurements at VHFUHF Frequencies. Proceedings of IEEE Antennas and Propagation Society International Symposium, Toronto, Canada.Google Scholar
4.Yinusa, KA and Eibert, TF (2013) A multi-probe antenna measurement technique with echo suppression capability. IEEE Transactions on Antennas and Propagation 61, 5008–5016.Google Scholar
5.Chou, HT and Chou, SJ (2016) Multipath suppression for a 2-D far-field pattern in a hybrid antenna measurement facility using single-frequency data. IEEE Transactions on Antennas and Propagation 64, 4083–4087.Google Scholar
6.González-Blanco, P and Sierra-Castañer, M (2016) Time filtering techniques for echo reduction in antenna measurements. Proceedings of European Conference on Antennas and Propagation, Davos, Switzerland.Google Scholar
7.Foged, LJ, Scialacqua, L, Mioc, F, Saccardi, F, Iversen, PO, Shmidov, L, Braun, R, Araque Quijano, JL and Vecchi, G (2013) Echo suppression by spatial-filtering techniques in advanced planar and spherical near-field antenna measurements. IEEE Antennas Propagation Magazine 55, 235–242.Google Scholar
8.Cano-Fácila, FJ, Burgos, S, Martín, F and Sierra-Castaner, M (2011) New reflection suppression method in antenna measurement systems based on diagnostic techniques. IEEE Transactions on Antennas and Propagation 59, 941–949.Google Scholar
9.Foged, LJ, Scialacqua, L, Saccardi, F, Mioc, F, Iversen, PO, Shmidov, L, Braun, R, Araque Quijano, JL and Vecchi, G (2013) Comparison of echo suppression techniques in near field antenna measurements applications. Proceedings of European Conference on Antennas and Propagation, Gothenburg, Sweden.Google Scholar
10.Mauermayer, RAM and Eibert, TF (2016) Time gating based on sparse time domain signal reconstruction from limited frequency domain information. Symposium of the Antenna Measurement Techniques Association, Texas, USA.Google Scholar
11.Le Fur, G, Cano-Facila, F and Saccardi, F (2014) Improvement of antenna measurement results at low frequencies by using post-processing techniques. Proceedings of European Conference on Antennas and Propagation, Hague, The Netherlands.Google Scholar
12.Gregson, SF, Newell, AC and Hindman, GE (2013) Behavior of orthogonal wave functions and the correction of antenna measurements taken in non-anechoic environments. Antennas and Propagation Conference, Loughborough, UK.Google Scholar
13.Kurokawa, S, Hirose, M and Ameya, M (2015) Precision antenna measurement using optical fiber link technologies. IEEE Conference on Antenna Measurements and Applications, Chiang Mai, Thailand.Google Scholar
14.Li, HJ, Liu, TY and Leou, JL (2001) Antenna measurements in the presence of multipath waves. Progress In Electromagnetics Research 30, 157–178.Google Scholar
15.Ortigueira, MD (2014) On the recursive solution to the normal equations: some other results. IEEE Signal Processing Magazine 31, 140–142.Google Scholar