2022
DOI: 10.1049/rsn2.12368
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Estimating number of group targets arranged in linear array via forward‐backward matrix pencil method

Abstract: An efficient number estimation method is proposed for target detection by using the forward-backward matrix pencil method. Compared with the traditional parameter estimation methods, the proposed method can work well even for sparse signals. At first, the radar cross section of the group targets arranged in linear array is obtained at some certain angles or frequencies. Then, the Hankel-Toeplitz matrix is constructed from the known radar echoes, and the singular value decomposition is performed on this matrix.… Show more

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Cited by 1 publication
(2 citation statements)
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“…The proposed method in this paper has a wider application range compared with other matrix pencil methods, such as forward‐backward matrix pencil method (FBMPM). FBMPM is only applicable to the targets arranged in linear array (Sun et al., 2022). The method in this paper is suitable for arbitrarily arranged targets in space.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The proposed method in this paper has a wider application range compared with other matrix pencil methods, such as forward‐backward matrix pencil method (FBMPM). FBMPM is only applicable to the targets arranged in linear array (Sun et al., 2022). The method in this paper is suitable for arbitrarily arranged targets in space.…”
Section: Introductionmentioning
confidence: 99%
“…The signal separation technology is based on the mixing matrix to get the target echo (Yang et al., 2019), which does not contain phase information but only amplitude information. The proposed method in this paper has a wider application range compared with other matrix pencil methods, such as forward‐backward matrix pencil method (FBMPM). FBMPM is only applicable to the targets arranged in linear array (Sun et al., 2022). The method in this paper is suitable for arbitrarily arranged targets in space. The proposed method in this paper has fewer restrictions on group targets compared with the classical source number estimation method.…”
Section: Introductionmentioning
confidence: 99%