基于噪声子空间特性的波束形成器设计

doi:10.12305/j.issn.1001-506X.2021.08.32

系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (8): 2297-2302.doi: 10.12305/j.issn.1001-506X.2021.08.32

基于噪声子空间特性的波束形成器设计

黄翔东^1,*, 赵一冉¹, 苗笛²

1. 天津大学电气自动化与信息工程学院, 天津 300072
2. 天津职业技术师范大学电子工程学院, 天津 300222

收稿日期:2020-09-09 出版日期:2021-07-23 发布日期:2021-08-05
通讯作者: 黄翔东
作者简介:黄翔东(1979—), 男, 教授, 博士, 主要研究方向为滤波器设计、空间谱分析|赵一冉(1996—), 男, 硕士研究生, 主要研究方向为阵列信号处理、空间谱分析|苗笛(1986—), 女, 副教授, 博士, 主要研究方向人工智能网络技术
基金资助:
天津大学自主创新基金(2105080);天津市科技计划项目(17YFZCSF01210)

Beamformer design based on noise subspace characteristics

Xiangdong HUANG^1,*, Yiran ZHAO¹, Di MIAO²

1. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
2. College of Electronic Engineering, Tianjin University of Technology and Education, Tianjin 300222, China

Received:2020-09-09 Online:2021-07-23 Published:2021-08-05
Contact: Xiangdong HUANG

摘要/Abstract

摘要：

为高效、高性能地合成阵列接收信号, 提出基于噪声子空间特性的波束形成器设计。首先, 利用噪声的宽带分布特性, 对Capon空间谱的噪声区域做粗采样, 由此进行残留噪声补偿, 获得信号协方差矩阵的估计; 其次, 利用噪声子空间与信号子空间的正交性, 通过信号协方差矩阵分解构造出信号正交补投影算子; 最后, 利用噪声子空间与干扰子空间的正交性, 用该投影算子对观测信号进行处理, 获得干扰功率估计, 进而推导出干扰加噪声协方差矩阵和最终的波束形成器。仿真结果表明, 该方法仅耗费较少的快拍, 即可在大信噪比范围内实现较高信干噪比输出。

关键词: 波束形成器, 噪声子空间, 协方差矩阵, Capon空间谱

Abstract:

To efficiently synthesize array receiver signals with high performance, a beamformer design based on noise characteristics is proposed. Firstly, by utilization of the noise's wide-band distribution characteristic, the Capon spatial spectrum is coarsely sampled across the noise range, yielding a residual noise offset to estimate the signal covariance matrix. Secondly, on basis of the orthogonality between the noise subspace and the signal subspace, a signal orthogonal complement projector is constructed from the decomposition of this signal covariance matrix. Finally, in terms of the orthogonality between the noise subspace and the interference subspace, this projector is used to process the observed signals to acquire the estimation of the interference power, from which both the interference plus noise covariance matrix and the final beamformer can be derived. Simulation results show that the proposed method can achieve high signal to interference plus noise ratio across a wide signal to noise ratio range, only consuming small number of snapshots.

Key words: beamformer, noise subspace, covariance matrix, Capon spatial spectrum

中图分类号:

TN911.72

黄翔东, 赵一冉, 苗笛. 基于噪声子空间特性的波束形成器设计[J]. 系统工程与电子技术, 2021, 43(8): 2297-2302.

Xiangdong HUANG, Yiran ZHAO, Di MIAO. Beamformer design based on noise subspace characteristics[J]. Systems Engineering and Electronics, 2021, 43(8): 2297-2302.

图/表 3

参考文献 16

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基于噪声子空间特性的波束形成器设计

Beamformer design based on noise subspace characteristics

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