Application of Spectral Extrapolation Technique to Stepped-Frequency RCS Measurement

Authors

  • C. F. Hu Science and Technology on UAV Laboratory Northwestern Polytechnical University, Xi’an, 710072, China
  • N. J. Li Science and Technology on UAV Laboratory Northwestern Polytechnical University, Xi’an, 710072, China
  • C. H. Fang Science and Technology on Electromagnetic Compatibility Laboratory China Ship Development and Design Centre, Wuhan, 430000, China

Keywords:

Auto-regressive model, maximum entropy spectral estimation, spectral extrapolation, stepped-frequency RCS measurement

Abstract

“Time domain gating” used in the steppedfrequency radar cross section (RCS) measurement causes the inaccurate frequency domain data, especially at two ends of the band. This paper proposes a spectral extrapolation method for improving the measured RCS at two ends of the band more exactly. The core idea is: the measured frequency domain data are extrapolated to obtain the unknown value out of band with an autoregressive model (AR model). The parameter in the AR model is calculated by the maximum entropy spectral estimation algorithm. Therefore, the span of the original band is extended, and both ends of frequency on the original band are inside the range of the new band. If the time domain gating is adding to the new band, the precision at two ends of the original band can be greatly improved. The simulation and experimental results show that more effective frequency domain data near the two ends of the band can be predicted by using the spectral extrapolation method, and the maximum error at the ends of the original band is less than 1dB after extrapolation, so it can ensure the accuracy of RCS measurement over the whole frequency band.

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Author Biographies

C. F. Hu, Science and Technology on UAV Laboratory Northwestern Polytechnical University, Xi’an, 710072, China

C. F. Hu received B.Sc. in 2004 and M.Sc. in 2007 both from Northwestern Polytechnical University, and obtained Ph.D. from Northwestern Polytechnical University in 2010. Now he is a Vice Professor in Science and Technology on UAV Laboratory, Northwestern Polytechnical University. His research interests including RCS measurement and radar imaging and microwave remote sensing.

N. J. Li, Science and Technology on UAV Laboratory Northwestern Polytechnical University, Xi’an, 710072, China

N. J. Li received B.Sc. in 1998 and M.Sc. in 2001 both from Northwestern Polytechnical University, and obtained Ph.D. from Northwestern Polytechnical University in 2006. Now he is a Vice Professor in Science and Technology on UAV Laboratory, Northwestern Polytechnical University. His research interests including RCS measurement and radar imaging.

C. H. Fang, Science and Technology on Electromagnetic Compatibility Laboratory China Ship Development and Design Centre, Wuhan, 430000, China

Chonghua Fang was born in Hubei Province, China, in 1980. He received the B.S. degree in Physics from Jianghan University, Wuhan, China, in 2002 and the M.S. degree in Materials Physics and Chemistry from Huazhong University of Science and Tech1004 ACES JOURNAL, Vol. 35, No. 9, September 2020 nology, Wuhan, China, in 2005 and the Ph.D. degree in Design and Construction of Ship and Marine Structure from China Ship Development and Design Center, Wuhan, China, in 2009. From 2009 to 2017, he was a Senior Engineer with the Science and Technology on Electromagnetic Compatibility Laboratory. He is the author of more than 50 articles, and more than 10 inventions. His research interests include classic radar scattering and quantum radar scattering, electromagnetic compatibility, electromagnetic environment, computational electromagnetics.

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Published

2020-09-01

How to Cite

[1]
C. F. Hu, N. J. Li, and C. H. Fang, “Application of Spectral Extrapolation Technique to Stepped-Frequency RCS Measurement”, ACES Journal, vol. 35, no. 9, pp. 999–1005, Sep. 2020.

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