A Radar Detection Method of Plasma-Sheath-Covered Target Based on the Improved Keystone Algorithm

Bai, Bowen; Ding, Y.; Li, Xiaoping; Liu, Yanming

doi:10.3390/rs14194869

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…Radar remote sensing of hypersonic vehicles entails investigating the electromagnetic characteristics of the plasma flow field [1][2][3]. When a hypersonic vehicle moves at high speed, the air around it is heated and squeezed, and then ionized, forming a layer of plasma around the vehicle called the plasma sheath.…”

Section: Introductionmentioning

confidence: 99%

Charging Process in Dusty Plasma of Large-Size Dust Particles

Yue,

Li,

Guo

et al. 2024

Remote Sensing

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During reentry, the high temperatures experienced by near-space hypersonic vehicles result in surface ablation, generating ablative particles. These particles become part of a plasma, commonly referred to as a “dusty plasma sheath” in radar remote sensing. The dusty plasma model, integral in radar studies, involves extensive charge and dynamic interactions among dust particles. Previous derivations assumed that the dust particle radius significantly surpassed the Debye radius, leading to the neglect of dust radius effects. This study, however, explores scenarios where the dust particle radius is not markedly smaller than the Debye radius, thereby deducing the charging process of dusty plasma. The derived equations encompass the Debye radius, charging process, surface potential, and charging frequency, particularly considering larger dust particle radii. Comparative analysis of the dusty plasma model, both before and after modification, reveals improvements when dust particles approach or exceed the Debye length. In essence, our study provides essential equations for understanding dusty plasma under realistic conditions, offering potential advancements in predicting electromagnetic properties and behaviors, especially in scenarios where dust particles closely align with or surpass the Debye radius.

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Section: Introductionmentioning

confidence: 99%

Charging Process in Dusty Plasma of Large-Size Dust Particles

Yue,

Li,

Guo

et al. 2024

Remote Sensing

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Sea Surface Moving Target Detection Using a Modified Keystone Transform on Wideband Radar Data

Chang

Zhao

et al. 2023

Remote Sensing

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The echoes collected by wideband radar systems provide abundant information on target scatterers, which is beneficial to target detection, classification, and recognition. However, as the radar range resolution increases, range cell migration (RCM) during the coherent integration (CI) period happens much easier, which may cause a degradation of target detection probability. In addition, due to the target’s orientation and structure relative to the radar, the distribution characteristics of the target scatterers in high-resolution range profiles (HRRPs) and the detection window length may vary from pulse to pulse, which may reduce the performance of traditional energy integration (EI) detectors. To solve those problems, moving range-spread target (RST) detection combining the modified keystone transform (MKT) and improved EI (IEI) is proposed in this paper. Firstly, based on waveform entropy minimization, MKT using hunter–prey optimization (HPO) is introduced to reduce the CI gain loss. The target Doppler ambiguity factor is estimated using such an effective optimization technique. Then, the IEI detector optimized by the adaptive threshold and detection window is utilized to achieve target detection, which minimizes the sensitivity of the traditional EI detector to the detection window length. The proposed method significantly improves the performance of moving RSTs in sea clutter without prior knowledge of the target Doppler ambiguity factor. Experiments are conducted by comparing the proposed method with other competing methods on both simulation data and real sea clutter data. The results demonstrate that the proposed method can obtain the CI more efficiently and has a higher detection probability.

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A Modified Keystone-Based Forward-Looking Arc Array Synthetic Aperture Radar 3D Imaging Method

Zhu

Huang

et al. 2023

Sensors

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An arc array synthetic aperture radar (AA-SAR) is a new type of omnidirectional observation and imaging system. Based on linear array 3D imaging, this paper introduces a keystone algorithm combined with the arc array SAR 2D imaging method and proposes a modified 3D imaging algorithm based on keystone transformation. The first step is to discuss the target azimuth angle, retain the far-field approximation method of the first-order term, analyze the influence of the forward motion of the platform on the along-track position, and realize the two-dimensional focusing of the target slant range–azimuth direction. The second step is to redefine a new azimuth angle variable in the slant-range along-track imaging and use the keystone-based processing algorithm in the range frequency domain to eliminate the coupling term generated by the array angle and the slant-range time. The corrected data are used to perform along-track pulse compression to obtain the focused image of the target and realize the three-dimensional imaging of the target. Finally, in this article, the spatial resolution of the AA-SAR system in the forward-looking state is analyzed in detail, and the change in the spatial resolution of the system and the effectiveness of the algorithm are verified through simulation.

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A Radar Detection Method of Plasma-Sheath-Covered Target Based on the Improved Keystone Algorithm

Cited by 3 publications

References 16 publications

Charging Process in Dusty Plasma of Large-Size Dust Particles

Charging Process in Dusty Plasma of Large-Size Dust Particles

Sea Surface Moving Target Detection Using a Modified Keystone Transform on Wideband Radar Data

A Modified Keystone-Based Forward-Looking Arc Array Synthetic Aperture Radar 3D Imaging Method

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