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http://dx.doi.org/10.9766/KIMST.2021.24.5.492

Source Enumeration Method using Eigenvalue Gap Ratio and Performance Comparison in Rayleigh Fading  

Kim, Taeyoung (Electronic Warfare Research Center, Gwangju Institute of Science and Technology)
Lee, Yunseong (Electronic Warfare Research Center, Gwangju Institute of Science and Technology)
Park, Chanhong (Electronic Warfare Research Center, Gwangju Institute of Science and Technology)
Choi, Yeongyoon (School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology)
Kim, Kiseon (School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology)
Lee, Dongkeun (Radar & EW Technology Center, Agency for Defense Development)
Lee, Myung-Sik (Electronic Warfare R&D center, LIG Nex1 Co., Ltd.)
Kang, Hyunjin (Electronic Warfare R&D center, LIG Nex1 Co., Ltd.)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.24, no.5, 2021 , pp. 492-502 More about this Journal
Abstract
In electronic warfare, source enumeration and direction-of-arrival estimation are important. The source enumeration method based on eigenvalues of covariance matrix from received is one of the most used methods. However, there are some drawbacks such as accuracy less than 100 % at high SNR, poor performance at low SNR and reduction of maximum number of estimating sources. We suggested new method based on eigenvalues gaps, which is named AREG(Accumulated Ratio of Eigenvalues Gaps). Meanwhile, FGML(Fast Gridless Maximum Likelihood) which reconstructs the covariance matrix was suggested by Wu et al., and it improves performance of the existing source enumeration methods without modification of algorithms. In this paper, first, we combine AREG with FGML to improve the performance. Second, we compare the performance of source enumeration and direction-of-arrival estimation methods in Rayleigh fading. Third, we suggest new method named REG(Ratio of Eigenvalues Gaps) to reduce performance degradation in Rayleigh Fading environment of AREG.
Keywords
Source Enumeration; Covariance Matrix Reconstruction; Eigenvalue Gap; Rayleigh Fading;
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