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| 论文题目 |
Cumulant-based parameter estimation algorithm for near-field sources |
| 论文题目（英文） |
Cumulant-based parameter estimation algorithm for near-field sources |
| 作者 |
梁军利 |
| 发表年度 |
2007 |
| 卷 |
11 |
| 期 |
8 |
| 页码 |
900-905 |
| 期刊名称 |
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| 摘要 |
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| 摘要_英文 |
To efficiently use the array aperture and avoid the complicated parameter pairing computation, this paper proposes a new cumulant-based algorithm for localizing near-field narrowband sources. Firstly, this algorithm proposes a symmetric uniform linear array (ULA), and constructs three cumulant matrices by using the fourth-order cumulants of some properly chosen sensor outputs; secondly, unlike the conventional parallel factor (PARAFAC) analysis models in data or subspace domain, it forms a three-way array (TWA) in the fourth-order cumulant domain using the three matrices, and analyzes the uniqueness of its low-rank decomposition; thirdly, it jointly estimates the frequency, the direction-of-arrival (DOA), and the range of each near-field source from the matrices via the low-rank decomposition of the TWA. The simulation results are presented to validate the performance of our proposed method. |
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