IEICE TRANSACTIONS on Communications
Optimal Signal Combining Based on DOA and Angular Spread Using Extended Array Mode Vector
Summary :
This paper presents the performance of the Directionally Constrained Minimization of Power (DCMP) and the Zero-Forcing (ZF) in the Angular Spread (AS) environment. To obtain the optimal weights for both methods, the Extended Array Mode Vector (EAMV) is employed. It is known that the EAMV represents the instantaneous AS as well as the instantaneous DOA in the slow fading channel. As a result, it is shown that the DCMP and the ZF using the EAMV estimates can improve the Signal-to-Interference-plus-Noise Ratio (SINR) considerably, as compared with those using the Direction of Arrival (DOA) information only. At the same time, the intrinsic problems causing the performance loss in the DCMP and the ZF are revisited. From this, the reasons for the performance deterioration are analyzed, in relation with the AS, the number of samples, the number of antenna elements, and the spatial correlation coefficient of the signals. It follows that the optimal signal combining techniques using the EAMV estimates can diminish such effects.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E84-B No.11 pp.3023-3032
- Publication Date
- 2001/11/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Antenna and Propagation
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Jung-Sik JEONG, Kei SAKAGUCHI, Jun-ichi TAKADA, Kiyomichi ARAKI, "Optimal Signal Combining Based on DOA and Angular Spread Using Extended Array Mode Vector" in IEICE TRANSACTIONS on Communications,
vol. E84-B, no. 11, pp. 3023-3032, November 2001, doi: .
Abstract: This paper presents the performance of the Directionally Constrained Minimization of Power (DCMP) and the Zero-Forcing (ZF) in the Angular Spread (AS) environment. To obtain the optimal weights for both methods, the Extended Array Mode Vector (EAMV) is employed. It is known that the EAMV represents the instantaneous AS as well as the instantaneous DOA in the slow fading channel. As a result, it is shown that the DCMP and the ZF using the EAMV estimates can improve the Signal-to-Interference-plus-Noise Ratio (SINR) considerably, as compared with those using the Direction of Arrival (DOA) information only. At the same time, the intrinsic problems causing the performance loss in the DCMP and the ZF are revisited. From this, the reasons for the performance deterioration are analyzed, in relation with the AS, the number of samples, the number of antenna elements, and the spatial correlation coefficient of the signals. It follows that the optimal signal combining techniques using the EAMV estimates can diminish such effects.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e84-b_11_3023/_p
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@ARTICLE{e84-b_11_3023,
author={Jung-Sik JEONG, Kei SAKAGUCHI, Jun-ichi TAKADA, Kiyomichi ARAKI, },
journal={IEICE TRANSACTIONS on Communications},
title={Optimal Signal Combining Based on DOA and Angular Spread Using Extended Array Mode Vector},
year={2001},
volume={E84-B},
number={11},
pages={3023-3032},
abstract={This paper presents the performance of the Directionally Constrained Minimization of Power (DCMP) and the Zero-Forcing (ZF) in the Angular Spread (AS) environment. To obtain the optimal weights for both methods, the Extended Array Mode Vector (EAMV) is employed. It is known that the EAMV represents the instantaneous AS as well as the instantaneous DOA in the slow fading channel. As a result, it is shown that the DCMP and the ZF using the EAMV estimates can improve the Signal-to-Interference-plus-Noise Ratio (SINR) considerably, as compared with those using the Direction of Arrival (DOA) information only. At the same time, the intrinsic problems causing the performance loss in the DCMP and the ZF are revisited. From this, the reasons for the performance deterioration are analyzed, in relation with the AS, the number of samples, the number of antenna elements, and the spatial correlation coefficient of the signals. It follows that the optimal signal combining techniques using the EAMV estimates can diminish such effects.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - Optimal Signal Combining Based on DOA and Angular Spread Using Extended Array Mode Vector
T2 - IEICE TRANSACTIONS on Communications
SP - 3023
EP - 3032
AU - Jung-Sik JEONG
AU - Kei SAKAGUCHI
AU - Jun-ichi TAKADA
AU - Kiyomichi ARAKI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E84-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2001
AB - This paper presents the performance of the Directionally Constrained Minimization of Power (DCMP) and the Zero-Forcing (ZF) in the Angular Spread (AS) environment. To obtain the optimal weights for both methods, the Extended Array Mode Vector (EAMV) is employed. It is known that the EAMV represents the instantaneous AS as well as the instantaneous DOA in the slow fading channel. As a result, it is shown that the DCMP and the ZF using the EAMV estimates can improve the Signal-to-Interference-plus-Noise Ratio (SINR) considerably, as compared with those using the Direction of Arrival (DOA) information only. At the same time, the intrinsic problems causing the performance loss in the DCMP and the ZF are revisited. From this, the reasons for the performance deterioration are analyzed, in relation with the AS, the number of samples, the number of antenna elements, and the spatial correlation coefficient of the signals. It follows that the optimal signal combining techniques using the EAMV estimates can diminish such effects.
ER -
English
