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
Kaedah berdasarkan perbezaan kovarian untuk tatasusunan linear seragam dicadangkan untuk mengatasi masalah mencari arah isyarat jalur sempit di bawah persekitaran hingar berwarna. Dengan mengandaikan matriks Toeplitz simetri Hermitian untuk hingar yang tidak diketahui, matriks kovarians tatasusunan diubah menjadi matriks centrohermitian dengan cara yang sesuai membolehkan komponen hingar dihapuskan. Algoritma pembezaan kovarians yang diubah suai memberikan anggaran arah ketibaan (DOA) yang tepat apabila isyarat kejadian tidak berkorelasi atau hanya dua daripada isyarat adalah koheren. Jika terdapat lebih daripada dua isyarat koheren, kaedah yang dibentangkan digabungkan dengan skema pelicinan ruang (SS) boleh digunakan. Berbeza dengan kaedah asal, pendekatan baharu ini memberikan keperluan untuk menentukan sudut sebenar dan sudut hantu. Keputusan simulasi menunjukkan keberkesanan algoritma yang dibentangkan.
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Salinan
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
Salinan
@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},}
Salinan
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 -