Bistatic ISAR distortion and defocusing analysis

Jiang, Yicheng; Sun, Sibo; Yeo, Tat‐Soon; Yang, Yuan

doi:10.1109/taes.2016.140028

Cited by 23 publications

(15 citation statements)

References 24 publications

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“…Here, the PSL optimisation technique is applied to the MMF design of the chirp Linear Frequency Modulation (LFM) signal [22]. The simulation parameters are described as follows.…”

Section: Simulation Resultsmentioning

confidence: 99%

2D optimal MMF design with a controllable maximum loss for Doppler signals

Wang

Sun

et al. 2018

IET Radar, Sonar & Navigation

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“…Here, the PSL optimisation technique is applied to the MMF design of the chirp Linear Frequency Modulation (LFM) signal [22]. The simulation parameters are described as follows.…”

Section: Simulation Resultsmentioning

confidence: 99%

2D optimal MMF design with a controllable maximum loss for Doppler signals

Wang

Sun

et al. 2018

IET Radar, Sonar & Navigation

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“…According to (9), (10), and (13), the measurement matrix Sðt m Þ varies with t m because of the target motions. To establish a parametric model based on multiple measurement vectors (MMV), a measurement matrix not varying with t m is necessary.…”

Section: Parametric Modelmentioning

confidence: 99%

“…As one of the imaging techniques, the inverse synthetic aperture radar (ISAR) imaging using bistatic configuration can overcome some limitations of monostatic ISAR imaging and is exploited in territory air defense [7], ocean surveillance [8], and other fields. Currently, aiming at two features of the Bi-ISAR in terms of scaled image resolution and image shearing distortion, bistatic distortion correction methods and a crossrange scaling technique are studied [9][10][11]. With the continuous development of signal processing technology, bistatic three-dimensional (3-D) interferometric ISAR based on interference processing has gradually become a research hotspot [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Bistatic Radar Coincidence Imaging Based on Multiple Measurement Vectors for Rotating Cone-Shaped Targets

Luo

Zhang

et al. 2020

Journal of Sensors

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Bistatic radar imaging can overcome limitations of monostatic radar imaging and obtain abundant target feature information; thus, it is followed with interest. Different from bistatic inverse synthetic aperture radar (Bi-ISAR) imaging, bistatic radar coincidence imaging (Bi-RCI) provides a new tack on the bistatic radar imaging technique. In this paper, a Bi-RCI based on multiple measurement vectors (MMV) for rotating cone-shaped targets is proposed to realize Bi-RCI coherent processing and improve imaging performance. Based on the mixed mode signals, a MMV parametric model is established and measurement number coarse selection is proposed. Finally, a modified sparse Bayesian learning (MSBL) algorithm is introduced to reconstruct the target image. Simulation results demonstrate the validity and the superiority of the proposed method.

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“…Similarly, this bistatic angle term also affects the cross‐range scaling processes. In addition, if the bistatic range varies slightly over the CPI due to the target's trajectory, it can introduce shear distortions in the resulting RD imagery [8, 14, 16, 47].…”

Section: Passive Isar Algorithmsmentioning

confidence: 99%