Biquaternion Capon beamformer using four-component vector-sensor arrays

Xiaoming Gou; Zhiwen Liu; Yougen Xu; Xiaofeng Gong

doi:10.1504/IJSNET.2015.072864

Biquaternion Capon beamformer using four-component vector-sensor arrays

Xiaoming Gou, Zhiwen Liu, Yougen Xu^*, Xiaofeng Gong

^*此作品的通讯作者

集成电路与电子学院

科研成果: 期刊稿件 › 文章 › 同行评审

4 引用（Scopus）

摘要

Ahypercomplex variantof Capon beamformer, called biquaternion Capon (BQ-Capon), is herein proposed for signal strengthening with four-component vector-sensor arrays. This BQ-Capon beamformer extracts the signal-of-interest (SOI) while rejecting interferences plus noisein amultipleinput-multiple-output (MIMO) fashion. Simulation results show that BQ-Capon beamformer outperforms the standard long-vector counterpart in convergence and sensitivity to mismatch in SOI steering vector.

源语言	英语
页（从-至）	171-180
页数	10
期刊	International Journal of Sensor Networks
卷	19
期	3-4
DOI	https://doi.org/10.1504/IJSNET.2015.072864
出版状态	已出版 - 2015

访问文件

10.1504/IJSNET.2015.072864

其它文件与链接

链接到 Scopus 的出版物

引用此

Gou, X., Liu, Z., Xu, Y., & Gong, X. (2015). Biquaternion Capon beamformer using four-component vector-sensor arrays. International Journal of Sensor Networks, 19(3-4), 171-180. https://doi.org/10.1504/IJSNET.2015.072864

@article{cc5e1eb86a5f45e68b28eea501eb1d56,

title = "Biquaternion Capon beamformer using four-component vector-sensor arrays",

abstract = "Ahypercomplex variantof Capon beamformer, called biquaternion Capon (BQ-Capon), is herein proposed for signal strengthening with four-component vector-sensor arrays. This BQ-Capon beamformer extracts the signal-of-interest (SOI) while rejecting interferences plus noisein amultipleinput-multiple-output (MIMO) fashion. Simulation results show that BQ-Capon beamformer outperforms the standard long-vector counterpart in convergence and sensitivity to mismatch in SOI steering vector.",

keywords = "Array signal processing, Beamforming, Biquaternion, Capon, Robustness, Vector sensor",

author = "Xiaoming Gou and Zhiwen Liu and Yougen Xu and Xiaofeng Gong",

note = "Publisher Copyright: {\textcopyright} 2015 Inderscience Enterprises Ltd.",

year = "2015",

doi = "10.1504/IJSNET.2015.072864",

language = "English",

volume = "19",

pages = "171--180",

journal = "International Journal of Sensor Networks",

issn = "1748-1279",

publisher = "Inderscience",

number = "3-4",

}

TY - JOUR

T1 - Biquaternion Capon beamformer using four-component vector-sensor arrays

AU - Gou, Xiaoming

AU - Liu, Zhiwen

AU - Xu, Yougen

AU - Gong, Xiaofeng

PY - 2015

Y1 - 2015

N2 - Ahypercomplex variantof Capon beamformer, called biquaternion Capon (BQ-Capon), is herein proposed for signal strengthening with four-component vector-sensor arrays. This BQ-Capon beamformer extracts the signal-of-interest (SOI) while rejecting interferences plus noisein amultipleinput-multiple-output (MIMO) fashion. Simulation results show that BQ-Capon beamformer outperforms the standard long-vector counterpart in convergence and sensitivity to mismatch in SOI steering vector.

AB - Ahypercomplex variantof Capon beamformer, called biquaternion Capon (BQ-Capon), is herein proposed for signal strengthening with four-component vector-sensor arrays. This BQ-Capon beamformer extracts the signal-of-interest (SOI) while rejecting interferences plus noisein amultipleinput-multiple-output (MIMO) fashion. Simulation results show that BQ-Capon beamformer outperforms the standard long-vector counterpart in convergence and sensitivity to mismatch in SOI steering vector.

KW - Array signal processing

KW - Beamforming

KW - Biquaternion

KW - Capon

KW - Robustness

KW - Vector sensor

UR - http://www.scopus.com/inward/record.url?scp=84946903188&partnerID=8YFLogxK

U2 - 10.1504/IJSNET.2015.072864

DO - 10.1504/IJSNET.2015.072864

M3 - Article

AN - SCOPUS:84946903188

SN - 1748-1279

VL - 19

SP - 171

EP - 180

JO - International Journal of Sensor Networks

JF - International Journal of Sensor Networks

IS - 3-4

ER -

Biquaternion Capon beamformer using four-component vector-sensor arrays

摘要

访问文件

其它文件与链接

指纹

引用此