Parameter Estimation of Three-dimensional Scattering Centers Based on State Space and ESPRIT Method
Author(s) -
Xuan Chen,
Baoquan Wan,
Tao Zhao,
Xiangyang Zhang,
Chunzhu Dong
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.01.261
Subject(s) - computer science , hankel matrix , radar , algorithm , estimation theory , scattering , stability (learning theory) , matrix (chemical analysis) , signal (programming language) , mathematical optimization , mathematics , telecommunications , optics , physics , mathematical analysis , materials science , machine learning , composite material , programming language
For the problem of radar target three-dimensional scattering centers parameter estimation, a new method that based on state space method and spectrum estimation method (3D-SS-ESPRIT) is proposed. According to the 3D-GTD model theory, we obtained the high-frequency radar target parameter signal model, via constructing generalized Hankel matrix, we estimated 3D scattering centers parameters based on the state space method and reconstructed the high-frequency radar target characteristic data. Numerical simulations show that the proposed method is an efficient and reliable method to estimate these parameters, compared to convention 3D spectrum estimation method, the proposed method gain better estimation, reconstruction property and has better stability.
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