近场散射环境下的稳健自适应波束形成

doi:10.3969/j.issn.1001-2400.2017.05.031

西安电子科技大学学报

• 研究论文 • 上一篇

近场散射环境下的稳健自适应波束形成

廖瑞乾;许京伟;廖桂生

(西安电子科技大学雷达信号处理国家重点实验室，陕西西安 710071)

收稿日期:2017-04-22 出版日期:2017-10-20 发布日期:2017-11-29
作者简介:廖瑞乾(1989-)，男，西安电子科技大学博士研究生，E-mail: laneyang@163.com
基金资助:
国家自然科学基金资助项目(61231017)

Robust adaptive beamforming with near-field scatterers

LIAO Ruiqian;XU Jingwei;LIAO Guisheng

(National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China)

Received:2017-04-22 Online:2017-10-20 Published:2017-11-29

摘要/Abstract

摘要：

针对近场散射效应造成的导向矢量和阵元接收数据不匹配进而使得波束形成性能严重损失这一问题，提出一种新的基于导向矢量不确定集的稳健自适应波束形成算法，将近场散射信号加以利用，提高波束形成输出信噪比．该算法综合考虑了近场散射信号和远场直达波信号，将整体所属的大的不确定集划分成了两个小的分别用来描述远场和近场导向矢量的不确定集，通过参数矩阵变换后的凸优化联合估计出远场信号导向矢量和未知的近场散射系数．仿真实验证明了该算法的正确性和有效性．

关键词: 稳健自适应波束形成, 近场散射, 阵列信号处理, 不确定集

Abstract:

Near-field scattering which causes steering vector mismatch with array received data suffers severe performance degradation with beamforming. A new robust adaptive beamforming algorithm based on the steering vector uncertainty set is proposed to utilize the near-field scattering signal to improve the beamforming output signal-to-noise ratio. The properties of the far-field direct-path signal and near-field signal are incorporated. The large uncertainty set is divided into two small ones describing the far-field and near-field steering vectors, respectively. The far-field steering vectors and the near-field scattering coefficient with a transform matrix are evaluated by convex optimization. Simulation examples demonstrate that the algorithm is correct and effective.

Key words: robust adaptive beamforming, near-field scattering, array signal processing, uncertainty set

廖瑞乾;许京伟;廖桂生. 近场散射环境下的稳健自适应波束形成[J]. 西安电子科技大学学报, 2017, 44(5): 184-188.

LIAO Ruiqian;XU Jingwei;LIAO Guisheng. Robust adaptive beamforming with near-field scatterers[J]. Journal of Xidian University, 2017, 44(5): 184-188.

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近场散射环境下的稳健自适应波束形成

Robust adaptive beamforming with near-field scatterers

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