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
이 편지는 다중 입력 다중 출력(MIMO) 시스템에서 공동 안테나 결합 및 기호 감지의 새로운 방식을 제안합니다. 이 방식은 안테나 결합 계수를 결정하여 RF 체인을 낮추고 최소 비트 오류율(MBER) 감지기를 설계하여 완화합니다. 간섭. 그러나 공동 결정 통계는 매우 비선형적이며 계산 오버헤드를 줄이기 위해 입자 떼 최적화(PSO) 알고리즘이 사용됩니다. 시뮬레이션 결과, 새로운 접근 방식이 이전 작업에 비해 계산 오버헤드를 줄이면서 만족스러운 성능을 제공하는 것으로 나타났습니다.
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부
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
부
@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},}
부
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 -