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

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages	383-388
Number of pages	6
DOIs	https://doi.org/10.1109/ICOSP.2014.7015033
Publication status	Published - 2014
Event	2014 12th IEEE International Conference on Signal Processing, ICSP 2014 - Hangzhou, China Duration: 19 Oct 2014 → 23 Oct 2014

Conference

Conference	2014 12th IEEE International Conference on Signal Processing, ICSP 2014
Country/Territory	China
City	Hangzhou
Period	19/10/14 → 23/10/14

Keywords

Compressed sensing
Direction of arrival(DOA)
L-shaped
Polarimetric array

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10.1109/ICOSP.2014.7015033

Cite this

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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.",

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

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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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DO - 10.1109/ICOSP.2014.7015033

M3 - Paper

AN - SCOPUS:84988274708

SP - 383

EP - 388

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

Abstract

Conference

Keywords

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