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| 论文题目 |
4D near-field source localization using cumulant |
| 论文题目（英文） |
4D near-field source localization using cumulant |
| 作者 |
梁军利 |
| 发表年度 |
2007 |
| 卷 |
2007 |
| 期 |
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| 页码 |
P17820 |
| 期刊名称 |
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| 摘要 |
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| 摘要_英文 |
This paper proposes a new cumulant-based algorithm to jointly estimate four-dimensional (4D) source parameters of multiple near-field narrowband sources. Firstly, this approach proposes a new cross-array, and constructs five high-dimensional Toeplitz matrices using the fourth-order cumulants of some properly chosen sensor outputs; secondly, it forms a parallel factor (PARAFAC) model in the cumulant domain using these matrices, and analyzes the unique low-rank decomposition of this model; thirdly, it jointly estimates the frequency, two-dimensional (2D) directions-of-arrival (DOAs), and range of each near-field source from the matrices via the low-rank three-way array (TWA) decomposition. In comparison with some available methods, the proposed algorithm, which efficiently makes use of the array aperture, can localize N -3 sources using N sensors. In addition, it requires neither pairing parameters nor multidimensional search. Simulation results are presented to validate the performance of the proposed method. |
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