Translational motion estimation with multistatic ISAR systems

Testa, Alejandro; Santi, Fabrizio; Pastina, Debora

doi:10.23919/irs51887.2021.9466180

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…this line were previously described in [17,18]. The proposed decentralized multistatic technique estimates the kinematic parameters via a two-step procedure: (1) first estimate the single-sensor signal parameters (Doppler centroid and Doppler rate); (2) then jointly exploit the estimated signal parameters to estimate the kinematic of the target.…”

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Decentralized Approach for Translational Motion Estimation with Multistatic Inverse Synthetic Aperture Radar Systems

Testa,

Pastina,

Santi

2023

Remote Sensing

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This paper addresses the estimation of the target translational motion by using a multistatic Inverse Synthetic Aperture Radar (ISAR) system composed of an active radar sensor and multiple receiving-only devices. Particularly, a two-step decentralized technique is derived: the first step estimates specific signal parameters (i.e., Doppler frequency and Doppler rate) at the single-sensor level, while the second step exploits these estimated parameters to derive the target velocity and acceleration components. Specifically, the second step is organized in two stages: the former is for velocity estimation, while the latter is devoted to velocity estimation refinement if a constant velocity model motion can be regarded as acceptable, or to acceleration estimation if a constant velocity assumption does not apply. A proper decision criterion to select between the two motion models is also provided. A closed-form theoretical performance analysis is provided for the overall technique, which is then used to assess the achievable performance under different distributions of the radar sensors. Additionally, a comparison with a state-of-the-art centralized approach has been carried out considering computational burden and robustness. Finally, results obtained against experimental multisensory data are shown confirming the effectiveness of the proposed technique and supporting its practical application.

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confidence: 99%

Decentralized Approach for Translational Motion Estimation with Multistatic Inverse Synthetic Aperture Radar Systems

Testa,

Pastina,

Santi

2023

Remote Sensing

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Translational motion estimation and compensation in distributed inverse synthetic aperture radar imaging of ship target with complex motion

Zhang

Wang

2022

IET Radar Sonar & Navi

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A translational motion estimation and compensation method is proposed based on the parametric method by multiple stations in the distributed inverse synthetic aperture radar (ISAR) imaging. For ship targets with complex motion, the distributed ISAR increases the cross-range resolution of the image by expanding the observation angle. However, the translation compensation methods by a single station will destroy the correlation between the echoes, which reduces the image quality, and a more accurate joint translation compensation method is required. Multi-static observation is obtained in the Distributed system, which we can utilise in the parameter estimation: 1) joint Doppler estimation, 2) station angle estimation, and 3) rotation velocity estimation. Based on the above estimations, the velocity vector and the acceleration vector of the target can be obtained, and then the translational motion compensation can be realised parametrically. The algorithm processing chain is presented in this paper. Finally, the numerical simulations with four stations are presented to verify the effectiveness and the robustness of the proposed algorithm.

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Distributed ISAR imaging based on convolution and total variation reweighted l ₁ regularization

Fu,

Wang,

et al. 2024

International Journal of Remote Sensing

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Translational motion estimation with multistatic ISAR systems

Cited by 4 publications

References 11 publications

Decentralized Approach for Translational Motion Estimation with Multistatic Inverse Synthetic Aperture Radar Systems

Decentralized Approach for Translational Motion Estimation with Multistatic Inverse Synthetic Aperture Radar Systems

Translational motion estimation and compensation in distributed inverse synthetic aperture radar imaging of ship target with complex motion

Distributed ISAR imaging based on convolution and total variation reweighted l ₁ regularization

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Translational motion estimation with multistatic ISAR systems

Cited by 4 publications

References 11 publications

Decentralized Approach for Translational Motion Estimation with Multistatic Inverse Synthetic Aperture Radar Systems

Decentralized Approach for Translational Motion Estimation with Multistatic Inverse Synthetic Aperture Radar Systems

Translational motion estimation and compensation in distributed inverse synthetic aperture radar imaging of ship target with complex motion

Distributed ISAR imaging based on convolution and total variation reweighted l 1 regularization

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Distributed ISAR imaging based on convolution and total variation reweighted l ₁ regularization