Cramér-rao bound for wideband DOA estimation with uncorrelated sources

Yibao Liang; Qing Shen; Wei Cui; Wei Liu

doi:10.1109/GlobalSIP45357.2019.8969279

Cramér-rao bound for wideband DOA estimation with uncorrelated sources

Yibao Liang, Qing Shen, Wei Cui, Wei Liu

School of Information and Electronics

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

12 Citations (Scopus)

Abstract

In this paper, the closed-form Cramér-Rao bound (CRB) is derived for direction-of-arrival (DOA) estimation under the unconditional model assumption (UMA) for uncorrelated wideband sources. The existence of the CRB is proved based on the rank condition of the introduced augmented co-array manifold (ACM) matrix. The resolution capacity is then investigated and it is found that the number of resolvable sources for the wideband model can exceed the limitation in the narrowband case without requirement of any special array structure.

Original language	English
Title of host publication	GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728127231
DOIs	https://doi.org/10.1109/GlobalSIP45357.2019.8969279
Publication status	Published - Nov 2019
Event	7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019 - Ottawa, Canada Duration: 11 Nov 2019 → 14 Nov 2019

Publication series

Name	GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings

Conference

Conference	7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019
Country/Territory	Canada
City	Ottawa
Period	11/11/19 → 14/11/19

Access to Document

10.1109/GlobalSIP45357.2019.8969279

Cite this

Liang, Y., Shen, Q., Cui, W., & Liu, W. (2019). Cramér-rao bound for wideband DOA estimation with uncorrelated sources. In GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings Article 8969279 (GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP45357.2019.8969279

Liang, Yibao ; Shen, Qing ; Cui, Wei et al. / Cramér-rao bound for wideband DOA estimation with uncorrelated sources. GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings).

@inproceedings{b3a1316a819343adb352976fba3d99ab,

title = "Cram{\'e}r-rao bound for wideband DOA estimation with uncorrelated sources",

abstract = "In this paper, the closed-form Cram{\'e}r-Rao bound (CRB) is derived for direction-of-arrival (DOA) estimation under the unconditional model assumption (UMA) for uncorrelated wideband sources. The existence of the CRB is proved based on the rank condition of the introduced augmented co-array manifold (ACM) matrix. The resolution capacity is then investigated and it is found that the number of resolvable sources for the wideband model can exceed the limitation in the narrowband case without requirement of any special array structure.",

author = "Yibao Liang and Qing Shen and Wei Cui and Wei Liu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019 ; Conference date: 11-11-2019 Through 14-11-2019",

year = "2019",

month = nov,

doi = "10.1109/GlobalSIP45357.2019.8969279",

language = "English",

series = "GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings",

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

booktitle = "GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings",

address = "United States",

}

Liang, Y, Shen, Q, Cui, W & Liu, W 2019, Cramér-rao bound for wideband DOA estimation with uncorrelated sources. in GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings., 8969279, GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings, Institute of Electrical and Electronics Engineers Inc., 7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019, Ottawa, Canada, 11/11/19. https://doi.org/10.1109/GlobalSIP45357.2019.8969279

Cramér-rao bound for wideband DOA estimation with uncorrelated sources. / Liang, Yibao; Shen, Qing; Cui, Wei et al.
GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8969279 (GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings).

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

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AU - Liang, Yibao

AU - Shen, Qing

AU - Cui, Wei

AU - Liu, Wei

PY - 2019/11

Y1 - 2019/11

N2 - In this paper, the closed-form Cramér-Rao bound (CRB) is derived for direction-of-arrival (DOA) estimation under the unconditional model assumption (UMA) for uncorrelated wideband sources. The existence of the CRB is proved based on the rank condition of the introduced augmented co-array manifold (ACM) matrix. The resolution capacity is then investigated and it is found that the number of resolvable sources for the wideband model can exceed the limitation in the narrowband case without requirement of any special array structure.

AB - In this paper, the closed-form Cramér-Rao bound (CRB) is derived for direction-of-arrival (DOA) estimation under the unconditional model assumption (UMA) for uncorrelated wideband sources. The existence of the CRB is proved based on the rank condition of the introduced augmented co-array manifold (ACM) matrix. The resolution capacity is then investigated and it is found that the number of resolvable sources for the wideband model can exceed the limitation in the narrowband case without requirement of any special array structure.

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DO - 10.1109/GlobalSIP45357.2019.8969279

M3 - Conference contribution

AN - SCOPUS:85079268061

T3 - GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings

BT - GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019

Y2 - 11 November 2019 through 14 November 2019

ER -

Liang Y, Shen Q, Cui W, Liu W. Cramér-rao bound for wideband DOA estimation with uncorrelated sources. In GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8969279. (GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings). doi: 10.1109/GlobalSIP45357.2019.8969279

Cramér-rao bound for wideband DOA estimation with uncorrelated sources

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