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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Golroudbari, M.A. Allam, M.D. |
| Copyright Year | 2011 |
| Description | Author affiliation: Islamic Azad University of Sowmesara, Iran (Allam, M.D.) || Department of Electrical and Computer Engineering, University of Tabriz, Iran (Golroudbari, M.A.) |
| Abstract | In this paper, a new Direction of Arrival (DOA) estimation method is proposed with uniform linear array when both uncorrelated and coherent sources are present. After denoising the received data by wavelet transform, first the DOAs of uncorrelated signals are estimated using Independent Component Analysis (ICA). Afterwards, the information of uncorrelated signals is eliminated and a new matrix is constructed based on covariance differencing. Then, the DOAs of coherent signals can be resolved by performing the Forward-Backward Spatial Smoothing (FBSS) technique on the new matrix. The proposed method has high accuracy and good performance. The simulation results confirm the effectiveness of the proposed method. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 1228069 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781612848310 |
| e-ISBN | 9781612848327 |
| DOI | 10.1109/ICAICT.2011.6110947 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-12 |
| Publisher Place | Azerbaijan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Coherent Signals Direction of Arrival (DOA) Noise reduction Estimation Wavelet Array Denoising Joint Approximate Diagonalization of Eigen-matrices (JADE) Independent Component Analysis (ICA) Covariance matrix Computational efficiency Multiple signal classification Direction of arrival estimation Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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