Combining CS With FEKO for Fast Target Characteristic Acquisition

Chai, Shui-Rong; Guo, Lixin; Li, Ke; Li, Long

doi:10.1109/tap.2018.2816599

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…Two methods are compared to estimate the number of group targets. One method is to directly construct unitary matrix from the echo obtained by FEKO (Chai et al., 2018; Wang et al., 2014) (Method 1). Another method, the data of the unitary matrix comes from the echo reconstructed by the ASC model.…”

Section: Formulation and Proposed Algorithmmentioning

confidence: 99%

An ASC‐Based Unitary Matrix Pencil Method for Parameter Estimation of Group Target

Sun

et al. 2023

Radio Science

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The unitary matrix pencil (UMP) method has been successfully applied to antenna array optimization. In this paper, the UMP method is applied to the parameter estimation of target detection based on the attributed scattering center (ASC) model. This method can accurately estimate the number of arbitrary group targets in the space. First, the RCS is reconstructed based on the ASC model. Since the unitary matrix can be used to process the parameter estimation of the echo with “sum of attenuation exponents,” the unitary matrix is constructed by the samples from this reconstructed RCS. Moreover, the stronger scattering center can be characterized via the larger singular values, and the number of group targets can be obtained by solving the number of large singular values. Then, singular value decomposition is performed on this unitary matrix, and some larger singular values are screened by setting an appropriate threshold. The higher estimation accuracy can be obtained by fusing the echoes from multiple frequencies and angles. Besides, the estimation accuracies of this proposed method in this paper are discussed under different signal‐to‐noise ratios considering the noise in the actual scene. Simulation results show that this method can effectively and accurately estimate the number of group targets, and it shows strong robustness.

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Section: Formulation and Proposed Algorithmmentioning

confidence: 99%

An ASC‐Based Unitary Matrix Pencil Method for Parameter Estimation of Group Target

Sun

et al. 2023

Radio Science

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“…As the model for polarimetric decomposition represents the relationship between various polarization channels, the ratio of |S HH − S VV | to |S HV | is selected for comparison and verification. We compare the ratio obtained via MRDM with that calculated via the ray launching technique of Altair FEKO, which is an advanced commercial electromagnetic calculation software [28]. The size of the dihedral is included in the phase integral term B, which has no effect on the result of the ratio.…”

Section: Precision Analysis Of Mrdmmentioning

confidence: 99%

“…Based on the two cases, the contribution of each scattering component can be calculated using (28) where P s , P d , P v , P od and P cd are the contribution of surface scattering, double-bounce scattering, volume scattering, ±45 • oriented dipole scattering and compound dipole scattering, respectively.…”

Section: Five-component Scattering Decomposition (Mrdm-5sd)mentioning

confidence: 99%

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Polarimetric SAR Decomposition Method Based on Modified Rotational Dihedral Model

et al. 2022

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Polarimetric decomposition is an effective way to analyze the scattering mechanism of targets in polarimetric synthetic aperture radar (PolSAR) images. However, the analysis of urban areas is frequently a challenge. Most decomposition methods use a rotated dihedral derived via rotation matrix to model the double-bounce scattering mechanism of buildings. However, according to electromagnetic theory, the existing dihedral model is not accurate, especially when the orientation angle of the dihedral is large. Therefore, the double-bounce scattering contribution in urban areas with large orientation angles will be difficult to extract. To address this problem, based on physical optics (PO) and geometric optics (GO), the interaction process of electromagnetic waves and the rotational dihedral is analyzed, and then a modified rotational dihedral model (MRDM) is proposed for the accurate representation of the rotational double-bounce scattering mechanism. Accordingly, MRDM is introduced to a five-component decomposition method (MRDM-5SD) to analyze the scattering components in an urban area. The validity of MRDM-5SD is demonstrated using several data sets. The experimental results show that the power contributions of double-bounce scattering in urban areas with large orientation angles increase by using MRDM-5SD. Therefore, MRDM can provide support for feature extraction and target detection in urban areas.

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“…The frequency-domain response of the radar target can be obtained either by simulation calculation or actual measurement. It is usually difficult to obtain actual measurement data for complex military targets, so electromagnetic simulation software, such as FEKO, is generally used to calculate scattering data by moment method [29][30][31].…”

Section: 2mentioning

confidence: 99%

Pole Extraction of Radar Target in Resonant Region Based on Sliding-Window Matrix Pencil Method

Deng

Zhang

2022

Wireless Communications and Mobile Computing

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In the complex battlefield environment, stealth radar target recognition has been paid increasing attentions. Previous studies have demonstrated that the stealth target can be identified well by pole extraction based on matrix pencil method (MPM). However, MPM suffers from the difficulty in setting model order and the time-domain resonant response aliasing problem. This paper proposes a new sliding-window matrix pencil method (SW-MPM) based on dynamic order setting and sliding window. Dynamic order setting scheme is used to overcome the difficulty of setting the order in matrix pencil method, while sliding window can avoid the aliasing problem of time-domain resonant response to some extent. The time-domain scattering data used in SW-MPM are obtained by inverse Fourier transform of the frequency domain scattering data in the resonance region. Taking typical stealth aircraft identification as example, the simulation results verify that the proposed method may extract more number of poles with better azimuth consistency, which is beneficial to improve the accuracy of pole-based target identification.

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Combining CS With FEKO for Fast Target Characteristic Acquisition

Cited by 7 publications

References 20 publications

An ASC‐Based Unitary Matrix Pencil Method for Parameter Estimation of Group Target

An ASC‐Based Unitary Matrix Pencil Method for Parameter Estimation of Group Target

Polarimetric SAR Decomposition Method Based on Modified Rotational Dihedral Model

Pole Extraction of Radar Target in Resonant Region Based on Sliding-Window Matrix Pencil Method

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