An Efficient and Accurate RCS Reconstruction Technique Using Adaptive TLS-ESPRIT Algorithm

In this letter, an adaptive total least squares-estimating signal parameter via rotational invariance techniques (TLS-ESPRIT) algorithm based on the analytical perspective is proposed to efficiently construct the scattering center model (SCM) and reconstruct the radar cross section (RCS) of a perfec...

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Bibliographic Details
Published in:IEEE antennas and wireless propagation letters 2024-01, Vol.23 (1), p.49-53
Main Authors: Zhu, Fang-Yin, Chai, Shui-Rong, Zou, Yu-Feng, He, Zhen-Xiang, Guo, Li-Xin
Format: Article
Language:English
Subjects:
Adaptation models
Adaptive algorithms
Adaptive TLS-ESPRIT algorithm
Electric conductors
Hankel matrix
Image reconstruction
Inverse synthetic aperture radar
one-dimensional (1-D) scattering center
radar cross section (RCS) reconstruction
Radar cross sections
Radar scattering
Reconstruction
Scattering
Signal processing algorithms
Statistical analysis
Statistical methods
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Summary:In this letter, an adaptive total least squares-estimating signal parameter via rotational invariance techniques (TLS-ESPRIT) algorithm based on the analytical perspective is proposed to efficiently construct the scattering center model (SCM) and reconstruct the radar cross section (RCS) of a perfect electrical conductor (PEC) target. Compared with existing research, the proposed method does not require knowing the number of scattering centers, which means that it can be applied to the construction of SCMs for noncooperative targets. Compared with inverse synthetic aperture radar (ISAR) and statistical methods, this work strikes a balance between accuracy and efficiency through optimization of the core technology in the RCS reconstruction process. The effectiveness of the algorithm is verified by comparing the results derived by our method with those from the measurement.
ISSN:1536-1225
1548-5757
DOI:10.1109/LAWP.2023.3317057