| 毛卫宁,钱进.一种低复杂度的稳健自适应波束形成[J].,2019,38(4):540-544 |
| 一种低复杂度的稳健自适应波束形成 |
| A low-complexity robust adaptive beamformer |
| 投稿时间：2019-02-13 修订日期：2019-07-03 |
| 中文摘要: |
| 稳健自适应波束形成可以解决经典自适应波束形成在非理想条件下(如存在方位失配、阵元位置误差、非平面波传播等)性能下降的问题,因而受到广泛关注,但目前多数稳健自适应波束形成方法计算复杂度高,在高信噪比时性能下降。为此,研究提出了一种分别重构干扰协方差矩阵和噪声协方差矩阵的低复杂度的稳健自适应波束形成方法,以减小计算量,提高稳健性。仿真实验表明,该算法能获得近似最优的输出信干噪比和更好的稳健性。 |
| 英文摘要: |
| Robust adaptive beamforming has been an active topic of research for providing robustness to angle-of-arrival errors, array calibration errors, and deviations from plane-wave assumptions,etc. But most of robust adaptive beamformer tend to have two problems — one is the higher computational complexity and the other is the cancellation of the desired signal at high SNR. In this paper, a low-complexity robust adaptive beamformer with good robustness is proposed which reconstructs interference covariance matrix and noise covariance matrix separately. Simulation results demonstrate that the performance of the proposed method is almost always close to the optimal value . |
| DOI：10.11684/j.issn.1000-310X.2019.04.010 |
| 中文关键词: 方位估计,稳健自适应波束形成,协方差矩阵重构 |
| 英文关键词: DOA, Robust adaptive beamforming, Covariance matrix reconstruction |
| 基金项目: |
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