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

Kumar, Y. V. Aravind; Yuvaraj, R.

doi:10.1109/iciptm54933.2022.9753992

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) 2022

DOI: 10.1109/iciptm54933.2022.9753992

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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. V. Aravind Kumar

R. Yuvaraj

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2024

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Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference

Zhang,

Shi,

Chen

et al. 2024

Remote Sensing

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Reliable identification of spatial parameters for multiple-input multiple-output (MIMO) systems, such as the number of transmit antennas (NTA) and the direction of arrival (DOA), is a prerequisite for MIMO signal separation and detection. Most existing parameter estimation methods for MIMO systems only consider a single parameter in Gaussian noise. This paper develops a reliable identification scheme based on generalized multi-antenna time-frequency distribution (GMTFD) for MIMO systems with non-Gaussian interference and Gaussian noise. First, a new generalized correlation matrix is introduced to construct a generalized MTFD matrix. Then, the covariance matrix based on time-frequency distribution (CM-TF) is characterized by using the diagonal entries from the auto-source signal components and the non-diagonal entries from the cross-source signal components in the generalized MTFD matrix. Finally, by making use of the CM-TF, the Gerschgorin disk criterion is modified to estimate NTA, and the multiple signal classification (MUSIC) is exploited to estimate DOA for MIMO system. Simulation results indicate that the proposed scheme based on GMTFD has good robustness to non-Gaussian interference without prior information and that it can achieve high estimation accuracy and resolution at low and medium signal-to-noise ratios (SNRs).

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Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference

Zhang,

Shi,

Chen

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

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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

Cited by 1 publication

References 18 publications

Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference

Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference

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