The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Une méthode basée sur la différenciation de covariance pour un réseau linéaire uniforme est proposée pour résoudre le problème de radiogoniométrie de signaux à bande étroite dans un environnement de bruit coloré. En supposant une matrice de Toeplitz symétrique hermitienne pour le bruit inconnu, la matrice de covariance du réseau est transformée en matrice centrohermitienne de manière appropriée permettant d'éliminer la composante de bruit. L'algorithme de différenciation de covariance modifié fournit une estimation précise de la direction d'arrivée (DOA) lorsque les signaux incidents ne sont pas corrélés ou que seulement deux des signaux sont cohérents. S'il y a plus de deux signaux cohérents, la méthode présentée combinée au schéma de lissage spatial (SS) peut être utilisée. Contrairement à la méthode originale, la nouvelle approche dispense de la nécessité de déterminer les angles vrais et les angles fantômes. Les résultats de la simulation démontrent l'efficacité de l'algorithme présenté.
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Ning LI, Yan GUO, Qi-Hui WU, Jin-Long WANG, Xue-Liang LIU, "DOA Estimation Methods Based on Covariance Differencing under a Colored Noise Environment" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 3, pp. 735-741, March 2011, doi: 10.1587/transcom.E94.B.735.
Abstract: A method based on covariance differencing for a uniform linear array is proposed to counter the problem of direction finding of narrowband signals under a colored noise environment. By assuming a Hermitian symmetric Toeplitz matrix for the unknown noise, the array covariance matrix is transformed into a centrohermitian matrix in an appropriate way allowing the noise component to be eliminated. The modified covariance differencing algorithm provides accurate direction of arrival (DOA) estimation when the incident signals are uncorrelated or just two of the signals are coherent. If there are more than two coherent signals, the presented method combined with spatial smoothing (SS) scheme can be used. Unlike the original method, the new approach dispenses the need to determine the true angles and the phantom angles. Simulation results demonstrate the effectiveness of presented algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.735/_p
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@ARTICLE{e94-b_3_735,
author={Ning LI, Yan GUO, Qi-Hui WU, Jin-Long WANG, Xue-Liang LIU, },
journal={IEICE TRANSACTIONS on Communications},
title={DOA Estimation Methods Based on Covariance Differencing under a Colored Noise Environment},
year={2011},
volume={E94-B},
number={3},
pages={735-741},
abstract={A method based on covariance differencing for a uniform linear array is proposed to counter the problem of direction finding of narrowband signals under a colored noise environment. By assuming a Hermitian symmetric Toeplitz matrix for the unknown noise, the array covariance matrix is transformed into a centrohermitian matrix in an appropriate way allowing the noise component to be eliminated. The modified covariance differencing algorithm provides accurate direction of arrival (DOA) estimation when the incident signals are uncorrelated or just two of the signals are coherent. If there are more than two coherent signals, the presented method combined with spatial smoothing (SS) scheme can be used. Unlike the original method, the new approach dispenses the need to determine the true angles and the phantom angles. Simulation results demonstrate the effectiveness of presented algorithm.},
keywords={},
doi={10.1587/transcom.E94.B.735},
ISSN={1745-1345},
month={March},}
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TY - JOUR
TI - DOA Estimation Methods Based on Covariance Differencing under a Colored Noise Environment
T2 - IEICE TRANSACTIONS on Communications
SP - 735
EP - 741
AU - Ning LI
AU - Yan GUO
AU - Qi-Hui WU
AU - Jin-Long WANG
AU - Xue-Liang LIU
PY - 2011
DO - 10.1587/transcom.E94.B.735
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2011
AB - A method based on covariance differencing for a uniform linear array is proposed to counter the problem of direction finding of narrowband signals under a colored noise environment. By assuming a Hermitian symmetric Toeplitz matrix for the unknown noise, the array covariance matrix is transformed into a centrohermitian matrix in an appropriate way allowing the noise component to be eliminated. The modified covariance differencing algorithm provides accurate direction of arrival (DOA) estimation when the incident signals are uncorrelated or just two of the signals are coherent. If there are more than two coherent signals, the presented method combined with spatial smoothing (SS) scheme can be used. Unlike the original method, the new approach dispenses the need to determine the true angles and the phantom angles. Simulation results demonstrate the effectiveness of presented algorithm.
ER -