A low-complexity 2-D DOA estimation method for incoherently distributed sources
The two-dimensional (2-D) direction-of-arrival (DOA) estimation for incoherently distributed (ID) sources always has a high computational complexity because it depends on multidimensional search. To reduce the complexity, we propose a new method based on three closely parallel unity linear arrays (U...
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| Veröffentlicht in: | 2016 CIE International Conference on Radar (RADAR) S. 1 - 5 |
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01.10.2016
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| Abstract | The two-dimensional (2-D) direction-of-arrival (DOA) estimation for incoherently distributed (ID) sources always has a high computational complexity because it depends on multidimensional search. To reduce the complexity, we propose a new method based on three closely parallel unity linear arrays (ULAs). This method derives the approximation of three received ULA vectors under small angular extension from first-order Taylor approximation. The derived vector approximations are rotationally invariant, which enables one to estimate 2-D DOAs of ID sources via propagator. This procedure is more efficient because no multidimensional search or eigen-decomposition is needed. Simulation results testify to the performance of the proposed method. |
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| AbstractList | The two-dimensional (2-D) direction-of-arrival (DOA) estimation for incoherently distributed (ID) sources always has a high computational complexity because it depends on multidimensional search. To reduce the complexity, we propose a new method based on three closely parallel unity linear arrays (ULAs). This method derives the approximation of three received ULA vectors under small angular extension from first-order Taylor approximation. The derived vector approximations are rotationally invariant, which enables one to estimate 2-D DOAs of ID sources via propagator. This procedure is more efficient because no multidimensional search or eigen-decomposition is needed. Simulation results testify to the performance of the proposed method. |
| Author | Liangwei Huang Qingqing Lin Ping Shuai |
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| Snippet | The two-dimensional (2-D) direction-of-arrival (DOA) estimation for incoherently distributed (ID) sources always has a high computational complexity because it... |
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| SubjectTerms | Computational complexity Covariance matrices direction-of-arrival (DOA) Direction-of-arrival estimation Estimation Geometry Incoherently distributed (ID) sources propagator Three-dimensional displays Two dimensional displays two-dimensional (2-D) uniform linear array |
| Title | A low-complexity 2-D DOA estimation method for incoherently distributed sources |
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