Performance Analysis of Digital Beamforming with Modified ESPRIT-MUSIC Direction of Arrival Estimation Algorithm for Multi Input Multi Output Non Orthogonal Multiple Access System over Rayleigh Fading Channel

Y. Kumar, R. Yuvaraj
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Abstract

Aim: The aim of this research is to increase the system's capacity rate of the system using the novel Modified ESPRIT Multi Signal Classification (Modified ESPRIT-MUSIC) algorithm in comparison with Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT). In this paper, a reliable novel Modified ESPRIT Multi Signal Classification (Modified ESPRIT-MUSIC) direction of arrival (DoA) estimation technique employed to reduce interference in a Digital beamforming Multi-Input Multi-Output Non-Orthogonal Multiple Access (MIMO NOMA) system over Rayleigh fading channel. Materials and Methods: The Modified ESPRIT-MUSIC algorithm is implemented in Digital beamforming at lower signal to noise ratio (SNR) levels. The DoA estimation technique is used in the MIMO NOMA system to decrease interference and increase sum rate. The addition of the estimation process with an additional estimation algorithm gives accurate user detection. The performance of this proposed algorithm is compared with the existing ESPRIT algorithm for the same antenna parameters. Group 1 is the ESPRIT algorithm, and Group 2 is the Modified ESPRIT-MUSIC algorithm. The sample size for each group is 20. The total sample size is 40. The pretest power simulation is 80% with a significance of 0.15. Results: The performance analysis of the proposed system is calculated in terms of capacity vs SNR. The increase in capacity of the proposed system by accurate user detection through beamforming is possible because of the combined ESPRIT-MUSIC algorithm. The mean capacity value for the proposed novel system is 13 bps/Hz at 10 dB and 26 bps/Hz at 20 dB SNR, and the mean capacity value for ESPRIT algorithm is 12 bps/Hz at 10 dB and 23 bps/Hz at 20 dB SNR. Conclusion: From the simulation results and independent sample tests, the novel Modified-ESPRIT MUSIC algorithm detects signals significantly better than the ESPRIT algorithm and increases the system's capacity.
瑞利衰落信道下多输入多输出非正交多址系统改进ESPRIT-MUSIC到达方向估计数字波束形成性能分析
目的:本研究的目的是利用改进的ESPRIT多信号分类(Modified ESPRIT- music)算法与旋转不变性信号参数估计(ESPRIT)算法进行比较,提高系统的容量率。针对瑞利衰落信道下的数字波束形成多输入多输出非正交多址(MIMO NOMA)系统,提出了一种可靠的新型改进ESPRIT多信号分类(Modified ESPRIT- music)到达方向(DoA)估计技术。材料和方法:改进的ESPRIT-MUSIC算法在较低信噪比(SNR)水平下实现数字波束形成。在MIMO NOMA系统中采用DoA估计技术来减少干扰,提高和速率。在估计过程中增加了一个额外的估计算法,从而提供了准确的用户检测。在相同天线参数下,将该算法与现有ESPRIT算法的性能进行了比较。第1组为ESPRIT算法,第2组为Modified ESPRIT- music算法。每组的样本量为20。总样本量为40。预测功率仿真值为80%,显著性为0.15。结果:根据容量与信噪比计算了所提出系统的性能分析。由于结合了ESPRIT-MUSIC算法,可以通过波束成形精确地检测用户,从而提高系统的容量。该系统在10 dB和20 dB信噪比下的平均容量分别为13 bps/Hz和26 bps/Hz,而ESPRIT算法在10 dB和20 dB信噪比下的平均容量分别为12 bps/Hz和23 bps/Hz。结论:从仿真结果和独立样本测试来看,改进后的ESPRIT MUSIC算法检测信号的能力明显优于ESPRIT算法,提高了系统容量。
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