Accurate Source-Number Estimation Using Denoising Preprocessing and Singular Value Decomposition
Summary :
This paper proposes two accurate source-number estimation methods for array antennas and multi-input multi-output radar. Direction of arrival (DOA) estimation is important in high-speed wireless communication and radar imaging. Most representative DOA estimation methods require the source-number information in advance and often fail to estimate DOAs in severe environments such as those having low signal-to-noise ratio or large transmission-power difference. Received signals are often bandlimited or narrowband signals, so the proposed methods first involves denoising preprocessing by removing undesired components then comparing the original and denoised signal information. The performances of the proposed methods were evaluated through computer simulations.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E105-B No.6 pp.766-774
- Publication Date
- 2022/06/01
- Publicized
- 2021/12/03
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2021ISP0003
- Type of Manuscript
- Special Section PAPER (Special Section on Recent Progress in Antennas and Propagation in Conjunction with Main Topics of ISAP2020)
- Category
- DOA Estimation
Authors
Shohei HAMADA
Yokohama National University
Koichi ICHIGE
Yokohama National University
Katsuhisa KASHIWAGI
Murata Manufacturing Co., Ltd.
Nobuya ARAKAWA
Murata Manufacturing Co., Ltd.
Ryo SAITO
Murata Manufacturing Co., Ltd.
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Shohei HAMADA, Koichi ICHIGE, Katsuhisa KASHIWAGI, Nobuya ARAKAWA, Ryo SAITO, "Accurate Source-Number Estimation Using Denoising Preprocessing and Singular Value Decomposition" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 6, pp. 766-774, June 2022, doi: 10.1587/transcom.2021ISP0003.
Abstract: This paper proposes two accurate source-number estimation methods for array antennas and multi-input multi-output radar. Direction of arrival (DOA) estimation is important in high-speed wireless communication and radar imaging. Most representative DOA estimation methods require the source-number information in advance and often fail to estimate DOAs in severe environments such as those having low signal-to-noise ratio or large transmission-power difference. Received signals are often bandlimited or narrowband signals, so the proposed methods first involves denoising preprocessing by removing undesired components then comparing the original and denoised signal information. The performances of the proposed methods were evaluated through computer simulations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021ISP0003/_p
Copy
@ARTICLE{e105-b_6_766,
author={Shohei HAMADA, Koichi ICHIGE, Katsuhisa KASHIWAGI, Nobuya ARAKAWA, Ryo SAITO, },
journal={IEICE TRANSACTIONS on Communications},
title={Accurate Source-Number Estimation Using Denoising Preprocessing and Singular Value Decomposition},
year={2022},
volume={E105-B},
number={6},
pages={766-774},
abstract={This paper proposes two accurate source-number estimation methods for array antennas and multi-input multi-output radar. Direction of arrival (DOA) estimation is important in high-speed wireless communication and radar imaging. Most representative DOA estimation methods require the source-number information in advance and often fail to estimate DOAs in severe environments such as those having low signal-to-noise ratio or large transmission-power difference. Received signals are often bandlimited or narrowband signals, so the proposed methods first involves denoising preprocessing by removing undesired components then comparing the original and denoised signal information. The performances of the proposed methods were evaluated through computer simulations.},
keywords={},
doi={10.1587/transcom.2021ISP0003},
ISSN={1745-1345},
month={June},}
Copy
TY - JOUR
TI - Accurate Source-Number Estimation Using Denoising Preprocessing and Singular Value Decomposition
T2 - IEICE TRANSACTIONS on Communications
SP - 766
EP - 774
AU - Shohei HAMADA
AU - Koichi ICHIGE
AU - Katsuhisa KASHIWAGI
AU - Nobuya ARAKAWA
AU - Ryo SAITO
PY - 2022
DO - 10.1587/transcom.2021ISP0003
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2022
AB - This paper proposes two accurate source-number estimation methods for array antennas and multi-input multi-output radar. Direction of arrival (DOA) estimation is important in high-speed wireless communication and radar imaging. Most representative DOA estimation methods require the source-number information in advance and often fail to estimate DOAs in severe environments such as those having low signal-to-noise ratio or large transmission-power difference. Received signals are often bandlimited or narrowband signals, so the proposed methods first involves denoising preprocessing by removing undesired components then comparing the original and denoised signal information. The performances of the proposed methods were evaluated through computer simulations.
ER -
English
