Joint direction-of-arrival and frequency estimation without source enumeration

Cheng Qian; Lei Huang; Yunmei Shi; H. C. So

doi:10.1109/ICASSP.2015.7178450

Joint direction-of-arrival and frequency estimation without source enumeration

Cheng Qian, Lei Huang, Yunmei Shi, H. C. So

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

Joint estimation of the directions-of-arrival (DOAs) and frequencies of multiple signals is addressed in this paper. By constructing a set of joint diagonalization matrices, two cost functions that do not require a priori information of the source number are devised for DOA and frequency estimation in a separate manner. This enables us to estimate DOAs and frequencies via two one-dimensional search steps in their corresponding spatial and frequency domains. Thus, the tremendous two-dimensional search required in the standard approaches can be avoided. Simulation results demonstrate the effectiveness of the proposed approach.

Original language	English
Title of host publication	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publisher	IEEE
Pages	2644-2648
Volume	2015-August
ISBN (Print)	9781467369978
DOIs	https://doi.org/10.1109/ICASSP.2015.7178450
Publication status	Published - 4 Aug 2015
Event	40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia Duration: 19 Apr 2014 → 24 Apr 2014

Publication series

Name
Volume	2015-August
ISSN (Print)	1520-6149

Conference

Conference	40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Place	Australia
City	Brisbane
Period	19/04/14 → 24/04/14

Research Keywords

Direction-of-arrival (DOA) estimation
frequency estimation
joint diagonalization

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10.1109/ICASSP.2015.7178450

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title = "Joint direction-of-arrival and frequency estimation without source enumeration",

abstract = "Joint estimation of the directions-of-arrival (DOAs) and frequencies of multiple signals is addressed in this paper. By constructing a set of joint diagonalization matrices, two cost functions that do not require a priori information of the source number are devised for DOA and frequency estimation in a separate manner. This enables us to estimate DOAs and frequencies via two one-dimensional search steps in their corresponding spatial and frequency domains. Thus, the tremendous two-dimensional search required in the standard approaches can be avoided. Simulation results demonstrate the effectiveness of the proposed approach.",

keywords = "Direction-of-arrival (DOA) estimation, frequency estimation, joint diagonalization",

author = "Cheng Qian and Lei Huang and Yunmei Shi and So, {H. C.}",

year = "2015",

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language = "English",

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volume = "2015-August",

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booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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note = "40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 ; Conference date: 19-04-2014 Through 24-04-2014",

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Qian, C, Huang, L, Shi, Y & So, HC 2015, Joint direction-of-arrival and frequency estimation without source enumeration. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 2015-August, 7178450, IEEE, pp. 2644-2648, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, Brisbane, Australia, 19/04/14. https://doi.org/10.1109/ICASSP.2015.7178450

Joint direction-of-arrival and frequency estimation without source enumeration. / Qian, Cheng; Huang, Lei; Shi, Yunmei et al.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2015-August IEEE, 2015. p. 2644-2648 7178450.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Joint direction-of-arrival and frequency estimation without source enumeration

AU - Qian, Cheng

AU - Huang, Lei

AU - Shi, Yunmei

AU - So, H. C.

PY - 2015/8/4

Y1 - 2015/8/4

N2 - Joint estimation of the directions-of-arrival (DOAs) and frequencies of multiple signals is addressed in this paper. By constructing a set of joint diagonalization matrices, two cost functions that do not require a priori information of the source number are devised for DOA and frequency estimation in a separate manner. This enables us to estimate DOAs and frequencies via two one-dimensional search steps in their corresponding spatial and frequency domains. Thus, the tremendous two-dimensional search required in the standard approaches can be avoided. Simulation results demonstrate the effectiveness of the proposed approach.

AB - Joint estimation of the directions-of-arrival (DOAs) and frequencies of multiple signals is addressed in this paper. By constructing a set of joint diagonalization matrices, two cost functions that do not require a priori information of the source number are devised for DOA and frequency estimation in a separate manner. This enables us to estimate DOAs and frequencies via two one-dimensional search steps in their corresponding spatial and frequency domains. Thus, the tremendous two-dimensional search required in the standard approaches can be avoided. Simulation results demonstrate the effectiveness of the proposed approach.

KW - Direction-of-arrival (DOA) estimation

KW - frequency estimation

KW - joint diagonalization

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DO - 10.1109/ICASSP.2015.7178450

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781467369978

VL - 2015-August

SP - 2644

EP - 2648

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

PB - IEEE

T2 - 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

Y2 - 19 April 2014 through 24 April 2014

ER -

Joint direction-of-arrival and frequency estimation without source enumeration

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Research Keywords

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