Junlin Zhang
Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference
Zhang, Junlin; Shi, Zihui; Chen, Yunfei; Liu, Mingqian
Authors
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 |
Electronic ISSN | 2072-4292 |
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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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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