Parameter estimation of the
            <scp>2D‐GTD</scp>
            model and
            <scp>RCS</scp>
            reconstruction based on an improved
            <scp>2D‐ESPRIT</scp>
            algorithm

Zheng, Shuyu; Zhang, Xiaokuan; Zong, Binfeng; Xu, Jiahua

doi:10.1002/mmce.22230

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…In order to verify the effectiveness of the proposed method, a performance comparison is conducted between our method and other type parameter approximate estimation methods (SSA [6], SSBM [13], ESPRIT [7]) after obtaining MR and MV through 2D‐MPM [5]. The radar transmits step‐frequency signals, and the simulation parameters set are shown in Table 1.…”

Section: Simulationsmentioning

confidence: 99%

“…Among them, type parameter estimation is crucial for detailed characterization of the physical structure and precise extraction of target features. ES-PRIT [7] and MUSIC [8] convert the estimation of the type parameters into an approximate solution problem for the model poles, assuming a relatively small bandwidth. However, those approaches compromise the accuracy of the GTD model and incur precision loss.…”

mentioning

confidence: 99%

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Type parameter estimation of 2D‐GTD model based on ADMM approach

Jin,

Wang,

Wei

et al. 2024

Electronics Letters

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The type parameter helps in scattering mechanism analysis and scattering centre identification. However, current approximate solution methods based on spectral estimation are noise‐sensitive and exhibit low accuracy. In this letter, a high‐precision approach for the type parameter based on the alternating direction method of multipliers (ADMM) is proposed. Logarithmic transformation is used to separate the type parameter and the amplitude from the coupling term, and initially obtain the closed‐form solution of the type parameter. Then, the regularization term of l2‐norm is used for denoising. Finally, a joint optimization model based on ADMM is constructed to effectively estimate the type parameter. Simulation results confirm the high accuracy of the proposed approach.

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Section: Simulationsmentioning

confidence: 99%

mentioning

confidence: 99%

Type parameter estimation of 2D‐GTD model based on ADMM approach

Jin,

Wang,

Wei

et al. 2024

Electronics Letters

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show abstract

“…Scattering center model is commonly used in the area of automatic target recognition (ATR), radar image interpretation, RCS extrapolation, and geometry reconstruction (Zheng et al., 2020). GTD‐based model (Potter & Moses, 1997) is more closely to the EM scattering than CE model.…”

Section: Scattering Center Modelmentioning

confidence: 99%

RCS Diagnostic Imaging Using Parameter Extraction Technique of State Space Method

et al. 2023

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The signature extraction and processing are the key aspects of enhancing recognition ability for radar target characteristics. In this paper, to reveal the intrinsic property of the target and improve the accuracy of radar cross section (RCS), we proposed RCS diagnostic imaging technique, extracting the parameters of scattering center model by state space method (SSM), to analyze the signature of GTD‐based returns. To demonstrate the effectiveness of SSM, the comparison with estimating signal parameter via rotational invariance techniques method by the analysis of goodness‐of‐fit and root mean square error, reconstructing the RCS profile through original signal model, and employing SSM to extract the signature of specular and creeping wave from the PEC sphere. Furthermore, the RCS diagnostic imaging by SSM extracting position and amplitude is discussed, and range‐isolated pole technique specific to the creeping wave extraction is addressed the advantage of SSM.

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RCS Diagnostic Imaging Using Parameter Extraction Technique of State Space Method

Huang

Liu

Zhou

et al. 2022

Preprint

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The signature extraction and processing are the key aspects of enhancing recognition ability for radar target characteristics. In this paper, to reveal the intrinsic property of the target and improve the accuracy of radar cross section(RCS), we proposed RCS diagnostic imaging technique, extracting the parameters of scattering center model by state space method(SSM), to analyze the signature of GTD-based returns. Comparison with estimating signal parameter via rotational invariance techniques(ESPRIT) method, reconstructing the RCS profile through original and recovery signal, and employing SSM to the PEC sphere simulation, both the signature of specular and creeping wave extraction, the validation of SSM completely achieved the diagnostic imaging by means of parameter extraction.

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Parameter estimation of the 2D‐GTD model and RCS reconstruction based on an improved 2D‐ESPRIT algorithm

Cited by 4 publications

References 22 publications

Type parameter estimation of 2D‐GTD model based on ADMM approach

Type parameter estimation of 2D‐GTD model based on ADMM approach

RCS Diagnostic Imaging Using Parameter Extraction Technique of State Space Method

RCS Diagnostic Imaging Using Parameter Extraction Technique of State Space Method

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