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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Neste artigo, um novo esquema de formação de feixe adaptativo é descrito. Este esquema emprega basicamente o algoritmo GSC, que é um dos famosos esquemas adaptativos de supressão de interferência. A implementação do algoritmo GSC requer cálculos complexos devido à filtragem adaptativa. Portanto, propomos um algoritmo GSC eficiente baseado no divisão Algoritmo RLS. Para reduzir o erro de estimativa causado pela correlação entre o dividido blocos, o GSC modificado é empregado com matriz de bloqueio Walsh em vez de bi-diagonal. Concluindo, o SINR do método proposto é muito próximo do SINR obtido pela solução full tap, por exemplo, quando a complexidade do sistema diminui quase pela metade, o SINR do método proposto torna-se 1 dB pior que o da solução full tap.
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Iltaeck JOO, Kiseon KIM, "A Low Complexity Adaptive Beamforming Using the Split RLS Algorithm" in IEICE TRANSACTIONS on Communications,
vol. E84-B, no. 3, pp. 589-594, March 2001, doi: .
Abstract: In this paper, a novel adaptive beamforming scheme is described. This scheme basically employs the GSC algorithm which is one of the famous adaptive interference suppression schemes. The implementation of the GSC algorithm requires complex computations due to the adaptive filtering. Therefore, we propose an efficient GSC algorithm based on the split RLS algorithm. In order to reduce the estimation error caused by the correlation between the splitted blocks, the modified GSC is employed with Walsh blocking matrix instead of Bi-diagonal one. In conclusion, the SINR of the proposed method is very close to the SINR obtained by the full tap solution, e.g. when the system complexity decreases nearly half, the SINR of the proposed method becomes 1 dB worse than that of full tap solution.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e84-b_3_589/_p
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@ARTICLE{e84-b_3_589,
author={Iltaeck JOO, Kiseon KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={A Low Complexity Adaptive Beamforming Using the Split RLS Algorithm},
year={2001},
volume={E84-B},
number={3},
pages={589-594},
abstract={In this paper, a novel adaptive beamforming scheme is described. This scheme basically employs the GSC algorithm which is one of the famous adaptive interference suppression schemes. The implementation of the GSC algorithm requires complex computations due to the adaptive filtering. Therefore, we propose an efficient GSC algorithm based on the split RLS algorithm. In order to reduce the estimation error caused by the correlation between the splitted blocks, the modified GSC is employed with Walsh blocking matrix instead of Bi-diagonal one. In conclusion, the SINR of the proposed method is very close to the SINR obtained by the full tap solution, e.g. when the system complexity decreases nearly half, the SINR of the proposed method becomes 1 dB worse than that of full tap solution.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - A Low Complexity Adaptive Beamforming Using the Split RLS Algorithm
T2 - IEICE TRANSACTIONS on Communications
SP - 589
EP - 594
AU - Iltaeck JOO
AU - Kiseon KIM
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E84-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2001
AB - In this paper, a novel adaptive beamforming scheme is described. This scheme basically employs the GSC algorithm which is one of the famous adaptive interference suppression schemes. The implementation of the GSC algorithm requires complex computations due to the adaptive filtering. Therefore, we propose an efficient GSC algorithm based on the split RLS algorithm. In order to reduce the estimation error caused by the correlation between the splitted blocks, the modified GSC is employed with Walsh blocking matrix instead of Bi-diagonal one. In conclusion, the SINR of the proposed method is very close to the SINR obtained by the full tap solution, e.g. when the system complexity decreases nearly half, the SINR of the proposed method becomes 1 dB worse than that of full tap solution.
ER -