Performance testing of MIMO device with the wireless cable method based on particle swarm optimization algorithm

Fengchun Zhang, W. Fan, Xingfeng Wu, G. F. Pedersen
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引用次数: 5

Abstract

Wireless cable method is a strong candidate to replace conductive cable method for performance testing of multiple-input multiple-output (MIMO) devices. Desired testing signals can be guided over-the-air to the corresponding antenna ports of the mobile terminals, via implementing a compensation filter in the channel emulator (CE). A novel wireless cable method, without the knowledge of transfer matrix between the CE output ports and device antenna ports, was recently proposed in the literature. In this method, the compensation filter was determined based on the average power recorded by each device antenna ports. To speed up the calibration procedure, a one-dimensional monotonic search method was proposed. However, the calibration accuracy was lower comparing with the brute-force method. In this paper, a high-efficiency particle swarm optimization (PSO) algorithm is proposed to determine the compensation filter. Numerical simulation results are provided to validate the effectiveness of PSO algorithm for compensation filter determination in the wireless cable testing.
基于粒子群优化算法的无线电缆法MIMO设备性能测试
无线电缆法是取代导电电缆法进行多输入多输出(MIMO)器件性能测试的有力选择。通过在信道仿真器(CE)中实现补偿滤波器,可以将所需的测试信号空中引导到移动终端的相应天线端口。最近在文献中提出了一种新的无线电缆方法,不需要知道CE输出端口和设备天线端口之间的传输矩阵。该方法根据各设备天线端口记录的平均功率确定补偿滤波器。为了加快标定速度,提出了一种一维单调搜索方法。但与暴力方法相比,标定精度较低。本文提出了一种高效的粒子群优化算法来确定补偿滤波器。仿真结果验证了粒子群算法在无线电缆测试中确定补偿滤波器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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