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
본 논문은 AS(Angular Spread) 환경에서 DCMP(Directional Constrained Minimization of Power)와 ZF(Zero-Forcing)의 성능을 제시합니다. 두 방법 모두에 대한 최적의 가중치를 얻기 위해 EAMV(Extended Array Mode Vector)가 사용됩니다. EAMV는 느린 페이딩 채널에서 순간적인 AS와 순간적인 DOA를 나타내는 것으로 알려져 있습니다. 결과적으로 EAMV 추정치를 이용한 DCMP와 ZF는 DOA(Direction of Arrival) 정보만 사용한 경우에 비해 SINR(Signal-to-Interference-plus-Noise Ratio)을 크게 향상시킬 수 있음을 보여주었다. 동시에 DCMP와 ZF에서 성능 손실을 초래하는 본질적인 문제가 재검토됩니다. 이를 통해 AS와 관련된 샘플 수, 안테나 요소 수, 신호의 공간 상관 계수와 관련하여 성능 저하 원인을 분석합니다. EAMV 추정치를 사용한 최적의 신호 결합 기술은 그러한 효과를 감소시킬 수 있습니다.
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부
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
부
@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},}
부
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 -