Multidimensional ESPRIT for Damped and Undamped Signals: Algorithm, Computations, and Perturbation Analysis
In this paper, we present and analyze the performance of multidimensional ESPRIT (N-D ESPRIT) method for estimating parameters of N-D superimposed damped and/or undamped exponentials. N-D ESPRIT algorithm is based on low-rank decomposition of multilevel Hankel matrices formed by the N-D data. In ord...
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| Vydané v: | IEEE transactions on signal processing Ročník 65; číslo 22; s. 5897 - 5910 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
IEEE
15.11.2017
Institute of Electrical and Electronics Engineers |
| Predmet: | |
| ISSN: | 1053-587X, 1941-0476 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | In this paper, we present and analyze the performance of multidimensional ESPRIT (N-D ESPRIT) method for estimating parameters of N-D superimposed damped and/or undamped exponentials. N-D ESPRIT algorithm is based on low-rank decomposition of multilevel Hankel matrices formed by the N-D data. In order to reduce the computational complexity for large signals, we propose a fast N-D ESPRIT using truncated singular value decomposition (SVD). Then, through a first-order perturbation analysis, we derive simple expressions of the variance of the estimates in N-D multiple-tones case. These expressions do not involve the factors of the SVD. We also derive closed-form expressions of the variances of the complex modes, frequencies, and damping factors estimates in the N-D single-tone case. Computer results are presented to show effectiveness of the fast version of N-D ESPRIT and verify theoretical expressions. |
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| ISSN: | 1053-587X 1941-0476 |
| DOI: | 10.1109/TSP.2017.2736512 |