Direction-of-arrival and polarization estimation based on sparse sensing

Wei Cui; Yalong Jiang; Hangtian Liu; Jing Tian; Qing Shen; Shuang Wu; Zixiang Wei

doi:10.1109/ICOSP.2014.7015033

Direction-of-arrival and polarization estimation based on sparse sensing

Wei Cui, Yalong Jiang, Hangtian Liu, Jing Tian, Qing Shen, Shuang Wu, Zixiang Wei

信息与电子学院

Beijing Institute of Technology

科研成果: 会议稿件 › 论文 › 同行评审

1 引用（Scopus）

摘要

This paper discusses how to acquire an estimation of DOA(Direction of Arrival) and polarimetric parameters of arriving sources with high accuracy, for polarimetric array is seldom used till now, and even when it is used, it is still hard to acquire an estimation with high accuracy. We apply CS-based method instead of traditional methods to find solutions for the mathematical model of polarimetric arrays, and we also propose an improvement to it. Finally, we use simulations to verify that CS-based method and our improvement are really useful and the accuracy is high, and practical applications are also discussed.

源语言	英语
页	383-388
页数	6
DOI	https://doi.org/10.1109/ICOSP.2014.7015033
出版状态	已出版 - 2014
活动	2014 12th IEEE International Conference on Signal Processing, ICSP 2014 - Hangzhou, 中国期限: 19 10月 2014 → 23 10月 2014

会议

会议	2014 12th IEEE International Conference on Signal Processing, ICSP 2014
国家/地区	中国
市	Hangzhou
时期	19/10/14 → 23/10/14

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10.1109/ICOSP.2014.7015033

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Cui, W., Jiang, Y., Liu, H., Tian, J., Shen, Q., Wu, S., & Wei, Z. (2014). Direction-of-arrival and polarization estimation based on sparse sensing. 383-388. 论文发表于 2014 12th IEEE International Conference on Signal Processing, ICSP 2014, Hangzhou, 中国. https://doi.org/10.1109/ICOSP.2014.7015033

@conference{613539d30a1c4d1691400d8b074599b8,

title = "Direction-of-arrival and polarization estimation based on sparse sensing",

abstract = "This paper discusses how to acquire an estimation of DOA(Direction of Arrival) and polarimetric parameters of arriving sources with high accuracy, for polarimetric array is seldom used till now, and even when it is used, it is still hard to acquire an estimation with high accuracy. We apply CS-based method instead of traditional methods to find solutions for the mathematical model of polarimetric arrays, and we also propose an improvement to it. Finally, we use simulations to verify that CS-based method and our improvement are really useful and the accuracy is high, and practical applications are also discussed.",

keywords = "Compressed sensing, Direction of arrival(DOA), L-shaped, Polarimetric array",

author = "Wei Cui and Yalong Jiang and Hangtian Liu and Jing Tian and Qing Shen and Shuang Wu and Zixiang Wei",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 12th IEEE International Conference on Signal Processing, ICSP 2014 ; Conference date: 19-10-2014 Through 23-10-2014",

year = "2014",

doi = "10.1109/ICOSP.2014.7015033",

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AU - Cui, Wei

AU - Jiang, Yalong

AU - Liu, Hangtian

AU - Tian, Jing

AU - Shen, Qing

AU - Wu, Shuang

AU - Wei, Zixiang

PY - 2014

Y1 - 2014

N2 - This paper discusses how to acquire an estimation of DOA(Direction of Arrival) and polarimetric parameters of arriving sources with high accuracy, for polarimetric array is seldom used till now, and even when it is used, it is still hard to acquire an estimation with high accuracy. We apply CS-based method instead of traditional methods to find solutions for the mathematical model of polarimetric arrays, and we also propose an improvement to it. Finally, we use simulations to verify that CS-based method and our improvement are really useful and the accuracy is high, and practical applications are also discussed.

AB - This paper discusses how to acquire an estimation of DOA(Direction of Arrival) and polarimetric parameters of arriving sources with high accuracy, for polarimetric array is seldom used till now, and even when it is used, it is still hard to acquire an estimation with high accuracy. We apply CS-based method instead of traditional methods to find solutions for the mathematical model of polarimetric arrays, and we also propose an improvement to it. Finally, we use simulations to verify that CS-based method and our improvement are really useful and the accuracy is high, and practical applications are also discussed.

KW - Compressed sensing

KW - Direction of arrival(DOA)

KW - L-shaped

KW - Polarimetric array

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T2 - 2014 12th IEEE International Conference on Signal Processing, ICSP 2014

Y2 - 19 October 2014 through 23 October 2014

ER -

Direction-of-arrival and polarization estimation based on sparse sensing

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