| Wu Xinhui (吴鑫辉),Huang Gaoming,Gao Jun.[J].高技术通讯(英文),2014,20(3):274~281 |
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| Modified Levenberg-Marquardt algorithm for source localization using AOAs in the presence of sensor location errors |
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| DOI：10.3772/j.issn.1006-6748.2014.03.008 |
| 中文关键词: |
| 英文关键词: source localization, angle of arrivals (AOAs), nonlinear least-squares estimators, Levenberg-Marquardt algorithm |
| 基金项目: |
| Author Name | Affiliation | | Wu Xinhui (吴鑫辉) | | | Huang Gaoming | | | Gao Jun | |
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| 中文摘要: |
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| 英文摘要: |
| In this paper, by utilizing the angle of arrivals (AOAs) and imprecise positions of the sensors, a novel modified Levenberg-Marquardt algorithm to solve the source localization problem is proposed. Conventional source localization algorithms, like Gauss-Newton algorithm and Conjugate gradient algorithm are subjected to the problems of local minima and good initial guess. This paper presents a new optimization technique to find the descent directions to avoid divergence, and a trust region method is introduced to accelerate the convergence rate. Compared with conventional methods, the new algorithm offers increased stability and is more robust, allowing for stronger non-linearity and wider convergence field to be identified. Simulation results demonstrate that the proposed algorithm improves the typical methods in both speed and robustness, and is able to avoid local minima. |
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