Robust astronomical imaging under coexistence with wireless communications

Shuimei Zhang; Yujie Gu; Ben Wang; Yimin D. Zhang

doi:10.1109/acssc.2017.8335563

Robust astronomical imaging under coexistence with wireless communications

Shuimei Zhang
, Yujie Gu
, Ben Wang
, Yimin D. Zhang

Temple University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

Astronomical signals are extremely weak and vulnerable to radio frequency interference. To meet the increasing demand for spectrum resources, development of spectrum-sharing and interference-immune radio astronomical technologies become very important and emerging. In this paper, we develop a robust astronomical imaging technique in the presence of wireless communication interference signals. The proposed technique effectively mitigates interference signals through robust adaptive beamforming which accounts for steering vector mismatching. Simulation results demonstrate the effectiveness of the proposed method.

Original language	English
Title of host publication	Conference Record of the 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Editors	Michael B. Matthews
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1301-1305
Number of pages	5
ISBN (Electronic)	9781538618233
DOIs	https://doi.org/10.1109/acssc.2017.8335563
State	Published - 2 Jul 2017
Externally published	Yes
Event	51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 - Pacific Grove, United States Duration: 29 Oct 2017 → 1 Nov 2017

Publication series

Name	Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Volume	2017-October
ISSN (Electronic)	2576-2303

Conference

Conference	51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Country/Territory	United States
City	Pacific Grove
Period	29/10/17 → 1/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Funding

This work is supported in part by the National Science Foundation (NSF) under grant AST-1547420.

Funders	Funder number
National Science Foundation	1547420, AST-1547420

Keywords

Adaptive beamforming
astronomical imaging
radio interference
robust beamforming
synthetic aperture

Access to Document

10.1109/acssc.2017.8335563

Cite this

Zhang, S., Gu, Y., Wang, B., & Zhang, Y. D. (2017). Robust astronomical imaging under coexistence with wireless communications. In M. B. Matthews (Ed.), Conference Record of the 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 (pp. 1301-1305). Article 8335563 (Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017; Vol. 2017-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/acssc.2017.8335563

Zhang, Shuimei ; Gu, Yujie ; Wang, Ben et al. / Robust astronomical imaging under coexistence with wireless communications. Conference Record of the 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. editor / Michael B. Matthews. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1301-1305 (Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017).

@inproceedings{a0c567e886c348df98485cc93a7570b3,

title = "Robust astronomical imaging under coexistence with wireless communications",

abstract = "Astronomical signals are extremely weak and vulnerable to radio frequency interference. To meet the increasing demand for spectrum resources, development of spectrum-sharing and interference-immune radio astronomical technologies become very important and emerging. In this paper, we develop a robust astronomical imaging technique in the presence of wireless communication interference signals. The proposed technique effectively mitigates interference signals through robust adaptive beamforming which accounts for steering vector mismatching. Simulation results demonstrate the effectiveness of the proposed method.",

keywords = "Adaptive beamforming, astronomical imaging, radio interference, robust beamforming, synthetic aperture",

author = "Shuimei Zhang and Yujie Gu and Ben Wang and Zhang, \{Yimin D.\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 ; Conference date: 29-10-2017 Through 01-11-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/acssc.2017.8335563",

language = "אנגלית",

series = "Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1301--1305",

editor = "Matthews, \{Michael B.\}",

booktitle = "Conference Record of the 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017",

address = "ארצות הברית",

}

Zhang, S, Gu, Y, Wang, B & Zhang, YD 2017, Robust astronomical imaging under coexistence with wireless communications. in MB Matthews (ed.), Conference Record of the 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017., 8335563, Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017, vol. 2017-October, Institute of Electrical and Electronics Engineers Inc., pp. 1301-1305, 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017, Pacific Grove, United States, 29/10/17. https://doi.org/10.1109/acssc.2017.8335563

Robust astronomical imaging under coexistence with wireless communications. / Zhang, Shuimei; Gu, Yujie; Wang, Ben et al.
Conference Record of the 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. ed. / Michael B. Matthews. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1301-1305 8335563 (Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017; Vol. 2017-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Robust astronomical imaging under coexistence with wireless communications

AU - Zhang, Shuimei

AU - Gu, Yujie

AU - Wang, Ben

AU - Zhang, Yimin D.

PY - 2017/7/2

Y1 - 2017/7/2

N2 - Astronomical signals are extremely weak and vulnerable to radio frequency interference. To meet the increasing demand for spectrum resources, development of spectrum-sharing and interference-immune radio astronomical technologies become very important and emerging. In this paper, we develop a robust astronomical imaging technique in the presence of wireless communication interference signals. The proposed technique effectively mitigates interference signals through robust adaptive beamforming which accounts for steering vector mismatching. Simulation results demonstrate the effectiveness of the proposed method.

AB - Astronomical signals are extremely weak and vulnerable to radio frequency interference. To meet the increasing demand for spectrum resources, development of spectrum-sharing and interference-immune radio astronomical technologies become very important and emerging. In this paper, we develop a robust astronomical imaging technique in the presence of wireless communication interference signals. The proposed technique effectively mitigates interference signals through robust adaptive beamforming which accounts for steering vector mismatching. Simulation results demonstrate the effectiveness of the proposed method.

KW - Adaptive beamforming

KW - astronomical imaging

KW - radio interference

KW - robust beamforming

KW - synthetic aperture

UR - https://www.scopus.com/pages/publications/85050887726

U2 - 10.1109/acssc.2017.8335563

DO - 10.1109/acssc.2017.8335563

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:85050887726

T3 - Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017

SP - 1301

EP - 1305

BT - Conference Record of the 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017

A2 - Matthews, Michael B.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017

Y2 - 29 October 2017 through 1 November 2017

ER -

Zhang S, Gu Y, Wang B, Zhang YD. Robust astronomical imaging under coexistence with wireless communications. In Matthews MB, editor, Conference Record of the 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1301-1305. 8335563. (Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017). doi: 10.1109/acssc.2017.8335563

Robust astronomical imaging under coexistence with wireless communications

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this