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

Zhang, Junlin; Shi, Zihui; Chen, Yunfei; Liu, Mingqian

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


Authors

Junlin Zhang

Zihui Shi

Mingqian Liu



Contributors

Fangqing Wen
Editor

Xianpeng Wang
Editor

Jin He
Editor

Liangtian Wan
Editor

Zhiyuan Zha
Editor

Abstract

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).

Citation

Zhang, J., Shi, Z., Chen, Y., & Liu, M. (2024). Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference. Remote Sensing, 16(7), 1243. https://doi.org/10.3390/rs16071243

Journal Article Type Article
Acceptance Date Mar 28, 2024
Online Publication Date Mar 31, 2024
Publication Date Mar 31, 2024
Deposit Date Apr 11, 2024
Publicly Available Date Apr 11, 2024
Journal Remote Sensing
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 16
Issue 7
Pages 1243
DOI https://doi.org/10.3390/rs16071243
Keywords generalized multi-antenna time-frequency distribution, number of transmit antennas, multiple-input multiple-output systems, direction of arrival
Public URL https://durham-repository.worktribe.com/output/2379163

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