Range- and Aperture-Dependent Motion Compensation Based on Precise Frequency Division and Chirp Scaling for Synthetic Aperture Radar

Lu, Qianrong; Gao, Yesheng; Huang, Penghui; Liu, Xingzhao

doi:10.1109/jsen.2018.2881116

Cited by 16 publications

(4 citation statements)

References 23 publications

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“…Range block processing is proposed to perform the envelope compensation at the reference range by two-step MOCO. A linear range envelope compensation and range resampling technique was subsequently proposed based on chirp scaling [97] and chirp-z transform (CZT), namely, onestep MOCO [98], [99]. One-step MOCO compensates for range-variant RPE and range-variant APE before imaging, making it suitable for VHR SAR [29], [100].…”

Section: B Airborne Vhr Sar Imagingmentioning

confidence: 99%

Very High Resolution Synthetic Aperture Radar Systems and Imaging: A Review

Chen,

Dong,

Zhang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Given its capacity to generate 2-D fine images of observation areas, very high-resolution (VHR) synthetic aperture radar (SAR) has become increasingly popular in myriad fields, including remote sensing, geoscience, and surveillance. In this article, we present a comprehensive overview of VHR SAR systems and imaging to highlight the related research and promote further development. First, we provide a summary of VHR SAR applications and summarize the typical airborne and spaceborne systems. Subsequently, a detailed overview is provided to demonstrate the range VHR technologies by introducing dechirp processing, stepped-frequency, and microwave photonic. Additionally, VHR imaging methods on different platforms, i.e., ideal trajectory, airborne, and spaceborne, are reviewed. Finally, the challenges and prospects of VHR SAR are presented to inform future research directions. This work provides a valuable resource to improve the system design and signal processing of VHR SAR.

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Section: B Airborne Vhr Sar Imagingmentioning

confidence: 99%

Very High Resolution Synthetic Aperture Radar Systems and Imaging: A Review

Chen,

Dong,

Zhang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Among existing works, synthetic aperture radar (SAR) motion compensation typically involves the use of computationally intensive algorithms such as the Doppler Keystone transform (DKT), range cell migration correction, and phase gradient autofocus [25], [26], [27], [28], [29], [30], [31]. Other higher-performance methods such as parametric DKT [32], range envelope correction [33], short-time-Fourier-transform (STFT) histogram-based interference removal [34], range-dependent map drift correction [35], and ML algorithms [36], [37], [38], among others [25], [39], [40], [41], entail even greater computational load and/or have been exclusively deployed in post-processing. Such methods also tend to implement correction in the range domain only, for which typical range resolutions render mm-scale vibration correction impractical [31], [42], [43].…”

Section: A Related Workmentioning

confidence: 99%

Anchor-Based, Real-Time Motion Compensation for High-Resolution mmWave Radar

Poole,

Arbabian

2024

IEEE J. Microw.

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In the modern domain of edge sensing and physically compact smart devices, mmWave radar has emerged as a prominent modality, simultaneously offering high-resolution perception capacity and accommodatingly small form factor. The inevitable presence of device motion, however, corrupts the received radar data, reducing target sensing capability and requiring active correction to address the resultant spectral "blurring". Existing motion compensation techniques utilize computationally intensive post-processing algorithms and/or auxiliary hardware, aspects ill-suited for resource-limited edge devices requiring minimal system latency and complexity. Early works also often consider motion dynamics such as pure single-mode vibration, neglecting additional modes as well as non-harmonic motion content. We resolve both of these limitations by presenting a real-time-compatible, generalized complex motion compensation algorithm capable of correcting multicomponent platform trajectories involving both non-harmonic transients and multimode harmonic vibration. The proposed anchor-based approach achieves average SNR gains of 24.9 dB and 19.7 dB across transient duration and target velocity, respectively, and average multimode harmonic suppressions of 38.9 dB and 29.4 dB across vibration parameters and target velocity, respectively. These results, combined with minimal latency (≤ 240 ms), low algorithmic complexity, and the elimination of any additional auxiliary sensors, render the proposed method suitable for deployment in typical edge sensing applications.INDEX TERMS Real-time sensing, mmWave radar, high-resolution radar, imaging radar, complex motion, deconvolution, radar signal processing, anchor point.

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“…Moreover, the azimuth dependence of the 2-D SV motion error has the ability to cause a dramatic phase error and an unfocused imaging result in high-resolution and complicated motion error cases. To the best of our knowledge, many 2-D SV MOCO algorithms for the airborne synthetic aperture radar (SAR) have been applied widely, such as in precise topography and aperture-dependent motion compensation algorithms (PTA) [9], subaperture topography and aperture-dependent motion compensation algorithms (SATA) [10], and frequency division motion algorithms (FD) [11][12][13]. Although SAS technology is derived from the SAR community, these algorithms cannot be directly applied to SAS.…”

Section: Introductionmentioning

confidence: 99%

Two-Dimensional Space-Variant Motion Compensation Algorithm for Multi-Hydrophone Synthetic Aperture Sonar Based on Sub-Beam Compensation

Wu,

Zhou,

Xie

et al. 2024

Remote Sensing

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For a multi-hydrophone synthetic aperture sonar (SAS), the instability of the platform and underwater turbulence easily lead to two-dimensional (2-D) space-variant (SV) motion errors. Such errors can cause serious imaging problems and are very difficult to compensate for. In this study, we propose a 2-D SV motion compensation algorithm for a multi-hydrophone SAS based on sub-beam compensation. The proposed algorithm is implemented using the following four-step process: (1) The motion error of each sub-beam is obtained by substituting the sonar’s motion parameters measured in the exact motion error model established in this study. (2) The sub-beam’s targets of all targets are compensated for motion error by implementing two-phase multiplications on the raw data of the multiple-hydrophone SAS in the order of hydrophone by hydrophone. (3) The data of the sub-beam’s target compensated motion error are extracted from the raw data by utilizing the mapping relationship between the azimuth angle and the Doppler frequency. (4) The imaging result of each sub-beam is obtained by performing a monostatic imaging algorithm on each sub-beam’s data and coherently added to obtain high-resolution imaging results. Finally, the validity of the proposed algorithm was tested using simulation and real data.

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Range- and Aperture-Dependent Motion Compensation Based on Precise Frequency Division and Chirp Scaling for Synthetic Aperture Radar

Cited by 16 publications

References 23 publications

Very High Resolution Synthetic Aperture Radar Systems and Imaging: A Review

Very High Resolution Synthetic Aperture Radar Systems and Imaging: A Review

Anchor-Based, Real-Time Motion Compensation for High-Resolution mmWave Radar

Two-Dimensional Space-Variant Motion Compensation Algorithm for Multi-Hydrophone Synthetic Aperture Sonar Based on Sub-Beam Compensation

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