Particle Swarm Optimization Applied to Control of Mutual Coupling in MIMO Systems

I. Leal, M. Alencar, W. Lopes
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引用次数: 2

Abstract

This paper presents a modeling for Multiple Input Multiple Output (MIMO) system considering the mutual coupling between antennas array elements. The conventional-mutual-impedance method (CMIM) and the receiving-mutual-impedance method (RMIM) are considered due to their and good approximation of real models. It presents a lower limit for the distance among the antenna elements in which the mutual coupling effect is minimized and also the importance of the CMIM and RMIM methods in MIMO systems projects. Simulation results show an improvement in the channel capacity performance of 9% for the MIMO 3×3 system.
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粒子群算法在MIMO系统互耦控制中的应用
提出了一种考虑天线阵列单元间相互耦合的多输入多输出(MIMO)系统建模方法。常规互阻抗法(CMIM)和接收互阻抗法(RMIM)由于能较好地逼近实际模型而被考虑。给出了天线单元间相互耦合效应最小的距离下限,以及CMIM和RMIM方法在MIMO系统工程中的重要性。仿真结果表明,MIMO 3×3系统的信道容量性能提高了9%。
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