.png){kind=icon}
返回
Null Broadening Robust Adaptive Beamforming Algorithm Based on Power Estimation
.png){kind=icon}
OA
AI
DOI：10.3390/s22186984.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In order to solve the problem of severely decreased performance under the situation of rapid moving sources and unstable array platforms, a null broadening robust adaptive beamforming algorithm based on power estimation is proposed in this paper. First of all, we estimate the interference signal power according to the characteristic subspace theory. Then, the correspondence between the signal power and steering vector (SV) is obtained based on the orthogonal property, and the interference covariance matrix (ICM) is reconstructed. Finally, with the aim of setting virtual interference sources, null broadening can be carried out. The proposed algorithm results in a deeper null, lower side lobes and higher tolerance of the desired signal steering vector mismatch under the condition of low complexity. The simulation results show that the algorithm also has stronger robustness.
Keyword:
robust adaptive beamforming
null broadening
power estimation
virtual interference
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
Mutations in VMK1, a mitogen-activated protein kinase gene, affect microsclerotia formation and pathogenicity in Verticillium dahliae.VMK1基因（一种丝裂原活化蛋白激酶基因）的突变会影响尖孢镰刀菌的微菌核形成和致病性。.png)
IF0
PREAI
分享收藏PINK1/Parkin‐mediated mitophagy enhances the survival of Staphylococcus aureus in bovine macrophagesOAAI
OAAI分享收藏Robust minimum dispersion distortionless response beamforming against fast-moving interferencesSIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
分享收藏
查看更多内容