IEICE TRANSACTIONS on Fundamentals
Sequence CLEAN-Based Source CSDM Retrieval Algorithm for Multiple Targets at Nonlinear MFP
Summary :
This paper proposes a method for estimating the number and locations of multiple targets distributed in the ocean. This is achieved by calculating the cross spectral density matrix (CSDM) generated from individual sound sources and applying them to a minimum variance distortionless response (MVDR), a nonlinear processor. The individual CSDMs are calculated by separating and extracting a Sequence CLEAN-based data vector from the CSDM of the data vector received from multiple targets. Numerical simulations demonstrate that the proposed method improves the MVDR performance in the case of multiple targets.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.7 pp.1767-1770
- Publication Date
- 2005/07/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.7.1767
- Type of Manuscript
- Special Section LETTER (Special Section on Multi-channel Acoustic Signal Processing)
- Category
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Hyeong-Uk LEE, Tae-Gyun LIM, Chan-Sik HWANG, "Sequence CLEAN-Based Source CSDM Retrieval Algorithm for Multiple Targets at Nonlinear MFP" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 7, pp. 1767-1770, July 2005, doi: 10.1093/ietfec/e88-a.7.1767.
Abstract: This paper proposes a method for estimating the number and locations of multiple targets distributed in the ocean. This is achieved by calculating the cross spectral density matrix (CSDM) generated from individual sound sources and applying them to a minimum variance distortionless response (MVDR), a nonlinear processor. The individual CSDMs are calculated by separating and extracting a Sequence CLEAN-based data vector from the CSDM of the data vector received from multiple targets. Numerical simulations demonstrate that the proposed method improves the MVDR performance in the case of multiple targets.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.7.1767/_p
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@ARTICLE{e88-a_7_1767,
author={Hyeong-Uk LEE, Tae-Gyun LIM, Chan-Sik HWANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Sequence CLEAN-Based Source CSDM Retrieval Algorithm for Multiple Targets at Nonlinear MFP},
year={2005},
volume={E88-A},
number={7},
pages={1767-1770},
abstract={This paper proposes a method for estimating the number and locations of multiple targets distributed in the ocean. This is achieved by calculating the cross spectral density matrix (CSDM) generated from individual sound sources and applying them to a minimum variance distortionless response (MVDR), a nonlinear processor. The individual CSDMs are calculated by separating and extracting a Sequence CLEAN-based data vector from the CSDM of the data vector received from multiple targets. Numerical simulations demonstrate that the proposed method improves the MVDR performance in the case of multiple targets.},
keywords={},
doi={10.1093/ietfec/e88-a.7.1767},
ISSN={},
month={July},}
Copy
TY - JOUR
TI - Sequence CLEAN-Based Source CSDM Retrieval Algorithm for Multiple Targets at Nonlinear MFP
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1767
EP - 1770
AU - Hyeong-Uk LEE
AU - Tae-Gyun LIM
AU - Chan-Sik HWANG
PY - 2005
DO - 10.1093/ietfec/e88-a.7.1767
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2005
AB - This paper proposes a method for estimating the number and locations of multiple targets distributed in the ocean. This is achieved by calculating the cross spectral density matrix (CSDM) generated from individual sound sources and applying them to a minimum variance distortionless response (MVDR), a nonlinear processor. The individual CSDMs are calculated by separating and extracting a Sequence CLEAN-based data vector from the CSDM of the data vector received from multiple targets. Numerical simulations demonstrate that the proposed method improves the MVDR performance in the case of multiple targets.
ER -
English
