This letter realizes direction of arrival (DOA) estimation by exploiting the noise subspace based estimator. Since single subspace feature extraction fails to achieve satisfactory results under unknown noise fields, we propose a two-step subspace feature extraction technique that is effective even in these fields. When a new noise subspace is attained, the proposed estimator without prewhitening can form the maximizing orthogonality especially for unknown noise fields. Simulation results confirm the effectiveness of the proposed technique.
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Ann-Chen CHANG, Jhih-Chung CHANG, Yu-Chen HUANG, "DOA Estimation in Unknown Noise Fields Based on Noise Subspace Extraction Technique" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 1, pp. 300-303, January 2012, doi: 10.1587/transcom.E95.B.300.
Abstract: This letter realizes direction of arrival (DOA) estimation by exploiting the noise subspace based estimator. Since single subspace feature extraction fails to achieve satisfactory results under unknown noise fields, we propose a two-step subspace feature extraction technique that is effective even in these fields. When a new noise subspace is attained, the proposed estimator without prewhitening can form the maximizing orthogonality especially for unknown noise fields. Simulation results confirm the effectiveness of the proposed technique.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.300/_p
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@ARTICLE{e95-b_1_300,
author={Ann-Chen CHANG, Jhih-Chung CHANG, Yu-Chen HUANG, },
journal={IEICE TRANSACTIONS on Communications},
title={DOA Estimation in Unknown Noise Fields Based on Noise Subspace Extraction Technique},
year={2012},
volume={E95-B},
number={1},
pages={300-303},
abstract={This letter realizes direction of arrival (DOA) estimation by exploiting the noise subspace based estimator. Since single subspace feature extraction fails to achieve satisfactory results under unknown noise fields, we propose a two-step subspace feature extraction technique that is effective even in these fields. When a new noise subspace is attained, the proposed estimator without prewhitening can form the maximizing orthogonality especially for unknown noise fields. Simulation results confirm the effectiveness of the proposed technique.},
keywords={},
doi={10.1587/transcom.E95.B.300},
ISSN={1745-1345},
month={January},}
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TY - JOUR
TI - DOA Estimation in Unknown Noise Fields Based on Noise Subspace Extraction Technique
T2 - IEICE TRANSACTIONS on Communications
SP - 300
EP - 303
AU - Ann-Chen CHANG
AU - Jhih-Chung CHANG
AU - Yu-Chen HUANG
PY - 2012
DO - 10.1587/transcom.E95.B.300
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2012
AB - This letter realizes direction of arrival (DOA) estimation by exploiting the noise subspace based estimator. Since single subspace feature extraction fails to achieve satisfactory results under unknown noise fields, we propose a two-step subspace feature extraction technique that is effective even in these fields. When a new noise subspace is attained, the proposed estimator without prewhitening can form the maximizing orthogonality especially for unknown noise fields. Simulation results confirm the effectiveness of the proposed technique.
ER -