Fast Unitary ESPRIT Algorithm Based on Monostatic MIMO Radar
Authors: 
Weilin Zhu, Jie Yang, Yaoxiang HuiAuthors Info & Claims
Weilin Zhu, Jie Yang, Yaoxiang HuiAuthors Info & ClaimsPages 739 - 744
Abstract
Among the many parametric problems studied in Multiple-Input Multiple-Output(MIMO) radar, Direction of Arrival (DOA) estimation is a key issue. With low signal-to-noise ratio (SNR) and low snapshots, the performance of conventional DOA estimation algorithms may be severely degraded, and even low estimation accuracy may occur. To address this problem, this paper proposes a fast Unitary matrix algorithm for rotational invariant signal parameter estimation. The standard ESPRIT algorithm uses Singular Value Decomposition(SVD) or Eigenvalue Decomposition(EVD), which can certainly obtain accurate DOA estimates, but its operation is huge. In this paper, the space is first transferred from high-dimensional to low-dimensional, and the redundant data in the MIMO radar signal is removed, and then the signal space rational approximation method is used to directly approximate the eigenvalue matrix to obtain the subspace, which is equivalent to forward and backward averaging of the data. The simulation experiments verify the effectiveness of the proposed algorithm.
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Published In
September 2023
1540 pages
ISBN:9798400707674
DOI:10.1145/3641584
Copyright © 2023 ACM.
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Published: 14 June 2024
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AIPR 2023
AIPR 2023: 2023 6th International Conference on Artificial Intelligence and Pattern Recognition
September 22 - 24, 2023
Xiamen, China
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