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Content Provider | IET Digital Library |
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Author | Wang, Geng He, Minghao Tang, Yuwen Feng, Mingyue Han, Jun Fan, Xikun |
Abstract | Most of the signals received in the field of wireless communication, radar, and sonar are wideband, so there is an active research on wideband direction-of-arrival (DOA). Many approaches of DOA estimation for different frequency with same angles have already been proposed, such as off-grid sparse learning via iterative minimisation (OGSLIM). Based on the OGSLIM algorithm, this study proposed frequency group decision strategy (FGDS). Based on the different information of the number of signals at different frequency bins, FGDS can obtain the estimation results of DOA at each frequency bin. The results of simulations demonstrate that the proposed algorithm outperforms other reported ones. |
Starting Page | 7738 |
Ending Page | 7741 |
Page Count | 4 |
Volume Number | 2019 |
e-ISSN | 20513305 |
Issue Number | Issue 21, Nov (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/21 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0704 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2019-08-13 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Subject Keyword | Digital Signal Processing Direction of Arrival Estimation DOA Estimation FGDS Frequency Bins Frequency Group Decision Strategy Interpolation And Function Approximation Iterative Method Knowledge Engineering Technique Learning in AI Minimisation Numerical Analysis Off-grid Sparse Learning Via Iterative Minimisation OGSLIM Algorithm Optimisation Technique Signal Processing And Detection Wideband Coprime Array Wideband Direction-of-arrival Estimation Wireless Communication System |
Content Type | Text |
Resource Type | Article |
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