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采用快速近似幂迭代子空间估计的贝叶斯波束形成

Bayesian beamforming using fast approximated power iteration subspace estimation
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摘要 针对深空探测过程中射电天文望远镜的输出性能会受到导向矢量不确定和强干扰的严重抑制的问题,进行了波束形成研究,提出了一种新的贝叶斯波束形成算法。该算法首先通过快速近似幂迭代(FAPI)来准确地估计干扰子空间,再通过子空间投影使得波束形成权重垂直于干扰子空间以实现对强干扰的有效抑制,最终在贝叶斯估计的框架下,递归地估计出波束形成权重。仿真实验的结果表明,该算法具有很好的鲁棒性和抗干扰能力。该算法在收敛后具有与最优Max-SINR波束形成器相似的性能。 To solve the problem that in the process of deep space exploration, the output performance of a radio telescope is suppressed severely by steering vector uncertainty and strong interferences, the Bayesian beamforming was stud- ied and a new Bayesian beamforming algorithm was proposed. The algorithm estimates the interference subspace by fast approximated power iteration （FAPI）, then, effectively inhibits strong interferences by using subspace projec- tion to make the beamforming weight perpendicular to the interference subspace and finally, recursively estimates the beamforming wei t under the Bayesian estimation framework. The simulations demonstrated the good effective- ness and robustness of the proposed beamforming algorithm. After convergence, its performance was similar to the optimal Max-SINR beamformer.
作者 徐皖峰 韩玉兵 TRAN Vanha
机构地区 南京理工大学电子工程与光电技术学院
出处 《高技术通讯》 CAS CSCD 北大核心 2016年第1期99-109,共11页 Chinese High Technology Letters
基金 国家自然科学基金(11273017 61471196)资助项目
关键词 贝叶斯估计 子空间投影 快速近似幂迭代(FAPI) 导向矢量不确定 强干扰 Bayesian estimation, subspace projection, fast approximated power iteration （ FAPI）, steeringvector uncertainty,strong interference
分类号 TN911.7 [电子电信—通信与信息系统]
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参考文献18

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