Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/182299
Title: | Efficient MVDR beamformer employing multi-stage forward/backward averaging scheme | Authors: | Jiang, Siyuan Liu, Shuai Jin, Ming Lin, Zhiping |
Keywords: | Engineering | Issue Date: | 2024 | Source: | Jiang, S., Liu, S., Jin, M. & Lin, Z. (2024). Efficient MVDR beamformer employing multi-stage forward/backward averaging scheme. IEEE Transactions On Aerospace and Electronic Systems. https://dx.doi.org/10.1109/TAES.2024.3494758 | Journal: | IEEE Transactions on Aerospace and Electronic Systems | Abstract: | The well-known minimum variance distortion-less response (MVDR) beamformer’s computational complexity focuses on the inverse of sample covariance matrix (SCM), especially for the high-dimensional complex-valued SCM. To reduce the computational complexity of SCM’s inversion in MVDR beamformer, we develop a multi-stage forward/backward (FB) averaging scheme for SCM, which will make the original complex-valued SCM progressively become a real-valued block diagonal matrix. In addition, this real-valued block diagonal matrix is composed of two half-dimensional sub-matrices. Therefore, we can transform the inverse of the entire complex-valued matrix into the half-dimensional and real-valued sub-matrix’s inversion. Using this multi-stage FB averaging scheme, the two-stage FB averaging based unitary MVDR (TFB-U-MVDR) and the four-stage FB averaging based unitary MVDR (FFB-U-MVDR) beamforming algorithms are proposed in this paper, which are tailored for the special structure of centro-symmetric arrays (CSAs). Numerical simulation demonstrates that the proposed algorithms based on the multi-stage FB averaging scheme perform well in small snapshots support and have higher computational efficiency compared to exiting efficient MVDR beamformers. | URI: | https://hdl.handle.net/10356/182299 | ISSN: | 0018-9251 | DOI: | 10.1109/TAES.2024.3494758 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2024 IEEE. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Journal Articles |
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