Generalized Nonlinear Chirp Scaling Algorithm for High-Resolution Highly Squint SAR Imaging

Yi, Tianzhu; He, Zhihua; He, Feng; Dong, Zhen; Wu, Meiping

doi:10.3390/s17112568

Cited by 8 publications

(7 citation statements)

References 17 publications

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“…Wong et al stated that the quadratic RCM can be ignored in the case of high-frequency radar [77], however, this will broaden the range compression. To handle the quadratic RCM variation, Yi et al proposed a generalized chirp scaling algorithm to avoid range block processing [78]. 2) Spotlight and Sliding Spotlight Mode: For spotlight and sliding spotlight SAR, the Doppler aliasing must be considered.…”

Section: Vhr Sar Imaging Processingmentioning

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: Vhr Sar Imaging Processingmentioning

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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“…Through the division of echo data, the entire data can be processed with the multicore processors, thereby enhancing the parallel of the algorithm. The subaperture RCMC processing can be performed by the frequency-domain algorithms, such as the Range Doppler (RD) algorithm [17], the Nonlinear Chirp Scaling (NCS) algorithm [4,16,18,19], the Extended Omega-K (EOK) algorithm [4], and so on. Figure 1 shows the flow diagram of the subaperture imaging processing for LF UWB SAR raw data.…”

Section: Description Of the Subaperture Imaging Processingmentioning

confidence: 99%

Extended Subaperture Imaging Method for Airborne Low Frequency Ultrawideband SAR Data

Chen

2019

Sensors

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The subaperture processing is one of the essential strategies for low frequency ultrawideband synthetic aperture radar (LF UWB SAR) imaging, especially for the real-time LF UWB SAR imaging because it can improve the parallelization of the imaging algorithm. However, due to the longer synthetic aperture of LF UWB SAR, the traditional subaperture imaging encounters an azimuth ambiguities problem, which severely degrades the focused quality of the imaging results. In this paper, the reason for the presence of azimuth ambiguities in the LF UWB SAR subaperture imaging and its influence on image quality is first analyzed in theory. Then, an extended subaperture imaging method based on the extension of subaperture length before Range Cell Migration Correction (RCMC) was proposed. By lengthening the subaperture length, the azimuth ambiguities are effectively eliminated. Finally, the extended part of subaperture is wiped off before the azimuth compression (AC), and the LF UWB SAR image of high focused quality is obtained. The correctness of the theory analysis and the effectiveness of the proposed method have been validated through simulated and real LF UWB SAR data.

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“…The former reduces computational complexity through slant-range approximation equations and range-azimuth split-dimensional modulation, which can cause a loss of image quality to a certain extent, including the segmented modulation algorithms [14,15], the multi-receiver approximation algorithms [16,17] and the time-delay frequency-shifting algorithms with template segmentation [22]. The latter requires azimuth Fourier transform modulation processing on the template, which is relatively precise but faces obstacles in practicality due to some defects, such as the lowefficiency interpolation calculation [27,28], including the inverse range-Doppler algorithm [12], the frequency domain three-stage algorithm [19], the inverse Omega-K algorithm [20], and the frequency domain pre-modulation algorithm [18].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Domain Efficient Modulation-Based Deceptive Jamming Algorithm for Nonlinear-Trajectory Synthetic Aperture Radar

et al. 2023

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Deception jamming of synthetic aperture radar (SAR) has attracted extensive attention due to its low power consumption and high fidelity advantages. However, existing SAR deception jamming algorithms assume that SAR operates on a linear trajectory. In practice, SAR trajectories often become nonlinear due to factors such as atmospheric turbulence, which results in the jamming signals lacking the two-dimensional spatial variability of nonlinear-trajectory SAR echo signal and affects the imaging quality of deception jamming. This paper proposes a new algorithm for nonlinear-trajectory airborne SAR deception jamming based on hybrid domain efficient (HDE) modulation. This algorithm derives the jamming frequency response (JFR) with SAR trajectory deviation in the azimuth time–frequency hybrid domain. Based on the hybrid domain modulation, the jammer calculates the JFR of the linear trajectory in the azimuth frequency domain and constructs for the real-time trajectory deviation pulse by pulse at each azimuth moment. The real-time modulation process of the algorithm only involves range domain Fourier transform and complex multiplication, combining computational efficiency and modulation flexibility. The validity constraints of the algorithm have been analyzed to ensure the focusing ability of the jamming signal. Simulation and computational complexity analysis validate the excellent performance of the algorithm in imaging quality and efficiency.

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Generalized Nonlinear Chirp Scaling Algorithm for High-Resolution Highly Squint SAR Imaging

Cited by 8 publications

References 17 publications

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

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

Extended Subaperture Imaging Method for Airborne Low Frequency Ultrawideband SAR Data

Hybrid Domain Efficient Modulation-Based Deceptive Jamming Algorithm for Nonlinear-Trajectory Synthetic Aperture Radar

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