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2024-06-25
Research on RCS Data Validation Based on SPWVD
By
Progress In Electromagnetics Research C, Vol. 144, 147-158, 2024
Abstract
At present, Feature Selective Validation(FSV) is the most common data verification method of computational electromagnetics, and its effectiveness has been verified since its release in 2006, but since the main research object of this method is electromagnetic compatibility data, the 8 sets of data used for algorithm training also come from the field of electromagnetic compatibility, and its data curve has the characteristics of gentle waveform and small fluctuations. However, Radar Cross Section(RCS) data, especially high-frequency RCS data, usually have complex waveforms and drastic fluctuations, and the results obtained by the FSV method are often quite different from those obtained by experts. This paper proposes a new data verification method based on Smoothed Pseudo Wigner-Ville Distribution(SPWVD) algorithm for RCS data, which integrates the characteristics of RCS data and expert evaluation experience, and verifies its effectiveness in RCS data verification.
Citation
Jiaxin Shi, Jun Hu, Zhiwei Gao, Lizhong Song, Huapeng Zhao, Ran Zhao, Wei Chen, and Min Zhang, "Research on RCS Data Validation Based on SPWVD," Progress In Electromagnetics Research C, Vol. 144, 147-158, 2024.
doi:10.2528/PIERC24052302
References

1. Liu, Yahong and Xiaopeng Zhao, "Perfect absorber metamaterial for designing low-RCS patch antenna," IEEE Antennas and Wireless Propagation Letters, Vol. 13, 1473-1476, 2014.

2. "IEEE standard for validation of computational electromagnetics computer modeling and simulations," IEEE Std 1597.1-2022 (Revision of IEEE Std 1597.1-2008).

3. Lash, Paul C., ``Comparison of computational electromagnetic codes for prediction of low-frequency radar cross section'', Master Thesis, Air Force Institute of Technology, Wright-Patterson AFB, OH, USA, 2006.

4. Zhou, Bo, Huanyao Dai, Yang Zhang, and Huidong Qiao, "Validation of maneuvering target RCS by computation based on feature selective validation (FSV)," 2018 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 1-2, Xuzhou, China, 2018.

5. Johnson, Michael R. and Edgar L. Coffey, "Using FSV with far-field patterns," 2012 IEEE International Symposium on Electromagnetic Compatibility, 696-701, Pittsburgh, PA, USA, 2012.

6. Drozd, Andrew, Irina Kasperovich, John Norgard, and Randy Musselman, "Feature Selected Validation and verification (FSVV) of CEM code predictions using IR thermal images of EM fields," 2008 Asia-Pacific Symposium on Electromagnetic Compatibility and 19th International Zurich Symposium on Electromagnetic Compatibility, 359-362, Singapore, 2008.

7. Zhang, Gang, Alistair P. Duffy, Hugh Sasse, Lixin Wang, and Ricardo Jauregui, "Improvement in the definition of ODM for FSV," IEEE Transactions on Electromagnetic Compatibility, Vol. 55, No. 4, 773-779, Aug. 2013.

8. Duffy, Alistair P., Anthony J. M. Martin, Antonio Orlandi, Giulio Antonini, Trevor M. Benson, and Malcolm S. Woolfson, "Feature selective validation (FSV) for validation of computational electromagnetics (CEM). part I-the FSV method," IEEE Transactions on Electromagnetic Compatibility, Vol. 48, No. 3, 449-459, Aug. 2006.

9. Martin, Wolfgang and Patrick Flandrin, "Wigner-Ville spectral analysis of nonstationary processes," IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 33, No. 6, 1461-1470, Dec. 1985.

10. Martin, A. J. M., "Quantitative data validation," Ph.D. dissertation, De Montfort University, Leicester, UK, 1999.

11. Jauregui, Ricardo, Gang Zhang, Julio Rojas-Mora, Oriol Ventosa, Ferran Silva, Alistair P. Duffy, and Hugh Sasse, "Analyzing transient phenomena in the time domain using the feature selective validation (FSV) method," IEEE Transactions on Electromagnetic Compatibility, Vol. 56, No. 4, 825-834, Aug. 2014.

12. "IEEE standard for validation of computational electromagnetics computer modeling and simulations," 1-36, IEEE Std 1597.1-2008, May 2009.

13. Welch, Peter, "The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms," IEEE Transactions on Audio and Electroacoustics, Vol. 15, No. 2, 70-73, Jun. 1967.

14. Donoho, David L., "Compressed sensing," IEEE Transactions on Information Theory, Vol. 52, No. 4, 1289-1306, Apr. 2006.

15. Khare, Smith K. and Varun Bajaj, "Time-frequency representation and convolutional neural network-based emotion recognition," IEEE Transactions on Neural Networks and Learning Systems, Vol. 32, No. 7, 2901-2909, Jul. 2021.

16. Zhang, Zufan, Chun Wang, Chenquan Gan, Shaohui Sun, and Mengjun Wang, "Automatic modulation classification using convolutional neural network with features fusion of SPWVD and BJD," IEEE Transactions on Signal and Information Processing over Networks, Vol. 5, No. 3, 469-478, Sep. 2019.

17. Kalra, Manish, Satish Kumar, and Bhargab Das, "Moving ground target detection with seismic signal using smooth pseudo Wigner-Ville distribution," IEEE Transactions on Instrumentation and Measurement, Vol. 69, No. 6, 3896-3906, Jun. 2020.

18. Putranto, Prasetyo, Winy Desvasari, Pamungkas Daud, Yusuf Nur Wijayanto, Dadin Mahmudin, Deni Permana Kurniadi, Arief Nur Rahman, Sri Hardiati, Arie Setiawan, Fajri Darwis, et al. "Performance comparison of Blackman, Bartlett, Hanning, and Kaiser window for radar digital signal processing," 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 391-394, Yogyakarta, Indonesia, 2019.