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A Discrete Quantum-Behaved PSO And Its Multiuser Detection Application

机译:离散的量子行为PSO及其多用户检测应用

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This paper proposes a discrete quantum-behaved particle swarm optimization (DQPSO) and applies it to realize the multiuser detection for multicarrier code-division multiple-access (MC-CDMA) systems. The continuous quantum-behaved particle swarm optimization (QPSO) is extended to the discrete scenario. To prevent the premature convergence of DQPSO, the equilibrium position is generated by balancing the cognitive and social parts, and the contraction-expansion coefficient is set elaborately to guarantee the adequate perturbation needed by the discrete optimizations. Simulations and comparisons with the PSO and the maximum likelihood detection (MLD) show that the proposed DQPSO has superior stable-status performance.
机译:本文提出了一种离散的量子行为粒子群优化算法(DQPSO),并将其应用于多载波码分多址(MC-CDMA)系统的多用户检测。连续的量子行为粒子群优化(QPSO)扩展到离散方案。为了防止DQPSO的过早收敛,通过平衡认知和社交部分来生成平衡位置,并精心设置了伸缩系数,以确保离散优化所需的适当摄动。与PSO和最大似然检测(MLD)的仿真和比较表明,提出的DQPSO具有出色的稳定状态性能。

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