Performance Analysis of 2D-ESPRIT Algorithm for URA in Estimation of 2D-DOA in Massive-MIMO Systems

Maniriho Claudien, Tuyisenge Jean Claude, Munezero Alphonse, Kalisa Jean Bosco, Ishimwe Viviane, Bigirabagabo Aaron, Niyomufasha Ghadi
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引用次数: 1

Abstract

Purpose: The performance of smart antenna is affected by antenna array configuration and the direction of arrival estimation (DOA) algorithm used .To have a suitable DOA for an uniform rectangular array (URA),The performance of two dimensional estimation of signal parameters via rotational invariance techniques (2D-SPRIT) that are applied for two different planar dispositions of antenna for URA in Massive Multiple Inputs Multiple Output (Massive MIMO) systems when   subjected to the same simulation conditions is comparatively analyzed. The performance of the proposed 2D-ESPRIT algorithm with URA in vertical plane (the case of full-dimensional MIMO) has been compared with that of the existing 2D-ESPRIT algorithm that is applied with URA in horizontal plane. Methodology: Implementation and simulation of analyzed 2D-ESPRIT algorithms was done in MATLAB and compared considering computational complexity efficiency, DOA estimation precision, estimation failure and variation of Root mean square Error (RMSE) with Signal to Noise Ratio (SNR) and angular spread. MATLAB simulation results got from similar input parameters in a multipath environment are compared to derive a conclusion. Findings: Simulation results show that the proposed 2D-ESPRIT algorithm applied in vertical plane outperforms the existing 2D-ESPRIT algorithm applied in horizontal plane for all considered performance criteria that include estimation precision, running time and Root mean square error (RMSE). Recommendation: Other researchers interested in working on 2D-ESPRIT algorithms are recommended to improve the work reported in this paper by further reducing computational complexity observed in 2D-ESPRIT algorithm with URA in vertical plane at large antenna array size to reflect the standard of full-dimension MIMO.
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大规模mimo系统2D-DOA估计中URA 2D-ESPRIT算法的性能分析
目的:智能天线的性能受到天线阵列配置和所使用的到达方向估计(DOA)算法的影响。为了获得合适的均匀矩形阵列(URA)的到达方向估计(DOA),采用旋转不变量技术(2D-SPRIT)对大规模多输入多输出(Massive MIMO)系统中两种不同平面配置的URA天线进行了二维信号参数估计,并进行了相同的仿真对条件进行了比较分析。将本文提出的2D-ESPRIT算法在垂直平面上(全维MIMO情况下)与现有的2D-ESPRIT算法在水平平面上应用URA的性能进行了比较。方法:在MATLAB中对所分析的2D-ESPRIT算法进行了实现和仿真,并从计算复杂度效率、DOA估计精度、估计失败以及均方根误差(RMSE)随信噪比(SNR)和角扩散的变化等方面进行了比较。通过对多径环境下相似输入参数的MATLAB仿真结果进行比较,得出结论。研究结果:仿真结果表明,在垂直平面上应用的2D-ESPRIT算法在估计精度、运行时间和均方根误差(RMSE)等所有性能指标上都优于现有的水平平面上应用的2D-ESPRIT算法。建议:建议其他对2D-ESPRIT算法感兴趣的研究人员对本文的工作进行改进,进一步降低在大天线阵列尺寸的垂直平面上具有URA的2D-ESPRIT算法所观察到的计算复杂度,以反映全维MIMO的标准。
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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