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Content Provider | IET Digital Library |
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Author | Chen, Yi Sheng Lin, Yue Der |
Abstract | This study proposes a novel subspace method to estimate frequencies of two sinusoids embedded in noise. The estimation process is basically composed of three main steps. Two principal eigenvectors of the autocorrelation matrix for the received vector are first found. Then, the authors use the elements of these eigenvectors to form a set of linear and non-linear equations to solve an ambiguous matrix linked two signal subspaces which contain the information of frequencies. With the product of the matrix formed from these two eigenvectors and the solved ambiguous matrix, they can finally find the frequencies. In addition, they also combine an interleaving technique with the proposed method to improve the estimation performance for two close sinusoidal frequencies. Simulation results for synthetic data and practical vital signals are used to demonstrate the performance of the proposed method. The demonstrated results show that the proposed method is feasible for frequencies estimation of two sinusoids, and it can be applied to the case of very close sinusoidal frequencies. |
Starting Page | 1114 |
Ending Page | 1121 |
Page Count | 8 |
ISSN | 17519675 |
Volume Number | 11 |
e-ISSN | 17519683 |
Issue Number | Issue 9, Dec (2017) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/11/9 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0702 |
Journal | IET Signal Processing |
Publisher Date | 2017-07-21 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Ambiguous Matrix Autocorrelation Matrix Correlation Theory Eigen Values And Eigen Function Eigenvectors Estimation Process Frequency Estimation Interleaving Technique Linear Algebra Linear Equation Matrix Algebra Nonlinear And Functional Equation Nonlinear Equation Numerical Analysis Signal Processing And Detection Signal Processing Theory Signal SubSpace Sinusoidal Frequency Statistics SubSpace Method Vital Signal |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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