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
Esta carta propõe um novo esquema de combinação conjunta de antenas e detecção de símbolos em sistemas multi-entrada e multi-saída (MIMO), que determina simultaneamente os coeficientes de combinação de antenas para reduzir as cadeias de RF e projeta o detector de taxa mínima de erro de bit (MBER) para mitigar a interferência. A estatística de decisão conjunta, no entanto, é altamente não linear e o algoritmo de otimização por enxame de partículas (PSO) é empregado para reduzir a sobrecarga computacional. Simulações mostram que a nova abordagem produz desempenho satisfatório com redução de sobrecarga computacional em comparação com trabalhos anteriores.
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Hoang-Yang LU, Wen-Hsien FANG, Kyar-Chan HUANG, "Joint Generalized Antenna Combination and Symbol Detection Based on Minimum Bit Error Rate: A Particle Swarm Optimization Approach" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 9, pp. 3009-3012, September 2008, doi: 10.1093/ietcom/e91-b.9.3009.
Abstract: This letter proposes a novel scheme of joint antenna combination and symbol detection in multi-input multi-output (MIMO) systems, which simultaneously determines the antenna combination coefficients to lower the RF chains and designs the minimum bit error rate (MBER) detector to mitigate the interference. The joint decision statistic, however, is highly nonlinear and the particle swarm optimization (PSO) algorithm is employed to reduce the computational overhead. Simulations show that the new approach yields satisfactory performance with reduced computational overhead compared with pervious works.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.9.3009/_p
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@ARTICLE{e91-b_9_3009,
author={Hoang-Yang LU, Wen-Hsien FANG, Kyar-Chan HUANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Joint Generalized Antenna Combination and Symbol Detection Based on Minimum Bit Error Rate: A Particle Swarm Optimization Approach},
year={2008},
volume={E91-B},
number={9},
pages={3009-3012},
abstract={This letter proposes a novel scheme of joint antenna combination and symbol detection in multi-input multi-output (MIMO) systems, which simultaneously determines the antenna combination coefficients to lower the RF chains and designs the minimum bit error rate (MBER) detector to mitigate the interference. The joint decision statistic, however, is highly nonlinear and the particle swarm optimization (PSO) algorithm is employed to reduce the computational overhead. Simulations show that the new approach yields satisfactory performance with reduced computational overhead compared with pervious works.},
keywords={},
doi={10.1093/ietcom/e91-b.9.3009},
ISSN={1745-1345},
month={September},}
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TY - JOUR
TI - Joint Generalized Antenna Combination and Symbol Detection Based on Minimum Bit Error Rate: A Particle Swarm Optimization Approach
T2 - IEICE TRANSACTIONS on Communications
SP - 3009
EP - 3012
AU - Hoang-Yang LU
AU - Wen-Hsien FANG
AU - Kyar-Chan HUANG
PY - 2008
DO - 10.1093/ietcom/e91-b.9.3009
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2008
AB - This letter proposes a novel scheme of joint antenna combination and symbol detection in multi-input multi-output (MIMO) systems, which simultaneously determines the antenna combination coefficients to lower the RF chains and designs the minimum bit error rate (MBER) detector to mitigate the interference. The joint decision statistic, however, is highly nonlinear and the particle swarm optimization (PSO) algorithm is employed to reduce the computational overhead. Simulations show that the new approach yields satisfactory performance with reduced computational overhead compared with pervious works.
ER -