IEICE TRANSACTIONS on Fundamentals
Directions-of-Arrival Estimation of Cyclostationary Coherent Signals in Array Processing
Summary :
In a variety of communication systems, the multipath propagation due to various reflections is often encountered. In this paper, the directions-of-arrival (DOA) estimation of the cyclostationary coherent signals is investigated. A new approach is proposed for estimating the DOA of the coherent signals impinging on a uniform linear array (ULA) by utilizing the spatial smoothing (SS) technique. In order to improve the robustness of the DOA estimation by exploiting the cyclic statistical information sufficiently and handling the coherence effectively, we give a cyclic algorithm with multiple lag parameters and the optimal subarray size. The performance of the presented method is verified and compared with the conventional methods through numerical examples.
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- IEICE TRANSACTIONS on Fundamentals Vol.E81-A No.8 pp.1560-1569
- Publication Date
- 1998/08/25
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- Special Section PAPER (Special Section on Digital Signal Processing)
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Jingmin XIN, Hiroyuki TSUJI, Yoshihiro HASE, Akira SANO, "Directions-of-Arrival Estimation of Cyclostationary Coherent Signals in Array Processing" in IEICE TRANSACTIONS on Fundamentals,
vol. E81-A, no. 8, pp. 1560-1569, August 1998, doi: .
Abstract: In a variety of communication systems, the multipath propagation due to various reflections is often encountered. In this paper, the directions-of-arrival (DOA) estimation of the cyclostationary coherent signals is investigated. A new approach is proposed for estimating the DOA of the coherent signals impinging on a uniform linear array (ULA) by utilizing the spatial smoothing (SS) technique. In order to improve the robustness of the DOA estimation by exploiting the cyclic statistical information sufficiently and handling the coherence effectively, we give a cyclic algorithm with multiple lag parameters and the optimal subarray size. The performance of the presented method is verified and compared with the conventional methods through numerical examples.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e81-a_8_1560/_p
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@ARTICLE{e81-a_8_1560,
author={Jingmin XIN, Hiroyuki TSUJI, Yoshihiro HASE, Akira SANO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Directions-of-Arrival Estimation of Cyclostationary Coherent Signals in Array Processing},
year={1998},
volume={E81-A},
number={8},
pages={1560-1569},
abstract={In a variety of communication systems, the multipath propagation due to various reflections is often encountered. In this paper, the directions-of-arrival (DOA) estimation of the cyclostationary coherent signals is investigated. A new approach is proposed for estimating the DOA of the coherent signals impinging on a uniform linear array (ULA) by utilizing the spatial smoothing (SS) technique. In order to improve the robustness of the DOA estimation by exploiting the cyclic statistical information sufficiently and handling the coherence effectively, we give a cyclic algorithm with multiple lag parameters and the optimal subarray size. The performance of the presented method is verified and compared with the conventional methods through numerical examples.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Directions-of-Arrival Estimation of Cyclostationary Coherent Signals in Array Processing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1560
EP - 1569
AU - Jingmin XIN
AU - Hiroyuki TSUJI
AU - Yoshihiro HASE
AU - Akira SANO
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E81-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 1998
AB - In a variety of communication systems, the multipath propagation due to various reflections is often encountered. In this paper, the directions-of-arrival (DOA) estimation of the cyclostationary coherent signals is investigated. A new approach is proposed for estimating the DOA of the coherent signals impinging on a uniform linear array (ULA) by utilizing the spatial smoothing (SS) technique. In order to improve the robustness of the DOA estimation by exploiting the cyclic statistical information sufficiently and handling the coherence effectively, we give a cyclic algorithm with multiple lag parameters and the optimal subarray size. The performance of the presented method is verified and compared with the conventional methods through numerical examples.
ER -
English
