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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
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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 

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