A Chirp Scaling Algorithm for Forward-Looking Linear-Array SAR With Constant Acceleration

Yuan, Yue; Chen, Si; Zhang, Shuning; Zhao, Huichang

doi:10.1109/lgrs.2017.2775043

Cited by 20 publications

(5 citation statements)

References 4 publications

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“…From Equation (1), the slant range

changes with the slow time

, and the migration amount varies with

, which shows the space-variance characteristic of the range cell migration. Because the scaling processing in the CSA can adequately compensate the range cell migration with the space-variance characteristic and the CSA is suitable for hardware implementation [ 18 ], the real-time imaging algorithm takes the CS-dechirp algorithm as the core to process sub-aperture data.…”

Section: Real-time Imaging Algorithm Based On Sub-aperture Cs-dechmentioning

confidence: 99%

A Real-Time Imaging Algorithm Based on Sub-Aperture CS-Dechirp for GF3-SAR Data

Sun

Liu

Xing

et al. 2018

Sensors

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Conventional synthetic aperture radar (SAR) imaging algorithms usually require a period of time to process data that is longer than the time it takes to record one synthetic aperture or that corresponding to an adequate azimuth resolution. That is to say, the real-time processing system is idle during the long data recording time and the utilization of computational resources is low. To deal with this problem, a real-time imaging algorithm based on sub-aperture chirp scaling dechirp (CS-dechirp) is proposed in this paper. With CS-dechirp, the sub-aperture data could be processed to form an image with relatively low resolution. Subsequently, a few low-resolution images are generated as longer azimuth data are recorded. At the stage of full-resolution image generation, a coherent combination method for the low-resolution complex-value images is developed. As the low-resolution complex-value images are coherently combined one by one, the resolution is gradually improved and the full-resolution image is finally obtained. The results of a simulation and real data from the GF3-SAR validate the effectiveness of the proposed algorithm.

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“…From Equation (1), the slant range

changes with the slow time

, and the migration amount varies with

Section: Real-time Imaging Algorithm Based On Sub-aperture Cs-dechmentioning

confidence: 99%

A Real-Time Imaging Algorithm Based on Sub-Aperture CS-Dechirp for GF3-SAR Data

Sun

Liu

Xing

et al. 2018

Sensors

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show abstract

“…Forward-looking radar imaging can image the forward-looking area with a high resolution, which can be widely applied to military and civilian fields such as precision guidance, remote sensing mapping, automatic driving etc [1][2][3][4][5][6][7][8][9]. For traditional synthetic aperture radar (SAR) imaging techniques, there exists a significant coupling between azimuth and range dimensions in forward-looking scenarios.…”

Section: Introductionmentioning

confidence: 99%

Airborne forward‐looking radar imaging approach via modified propagator method in planar phased array

Yin,

Wang

2024

IET Radar Sonar & Navi

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Forward‐looking radar imaging is a top priority due to a variety of applications. An airborne forward‐looking radar imaging approach via a modified propagator method (MPM) based on the planar phased array is proposed. It can obtain a better focusing effect without range migration correction. Through the MPM algorithm, the azimuth resolution can be enhanced greatly. Compared with the conventional synthetic aperture radar imaging algorithm, the left‐right ambiguity process can be avoided by generating two‐dimensional spatial spectra. Furthermore, the imaging results of different numbers of elements are given to provide an assessment of the imaging performance. Additionally, the authors proposed to apply the scanning planar phased array configuration to airborne forward‐looking two‐dimensional imaging for the first time. The validity of the method is proven by experiments. The image is more focused. Furthermore, the results of the experiments verify that the proposed method is fit for high‐speed situation and aircraft height variation condition.

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“…A number of algorithms were developed for transforming raw SAR data into oriented 2D or 3D images. Few of them are range-Doppler, chirp scaling (Yuan et al, 2017), Omega-K (Soumekh, 1999), SPECAN or time domain correlation (TDC) algorithms (Carlomagno, 2011). Amongst them, this paper proposes the implementation of the chirp-scaling algorithm (CSA) and its testing.…”

Section: Introductionmentioning

confidence: 99%

Hardware accelerated range Doppler algorithm for SAR data processing using Zynq processor

Mewada

Chaudhari

Patel

et al. 2020

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Purpose Synthetic aperture radar (SAR) imaging is the most computational intensive algorithm and this makes its implementation challenging for real-time application. This paper aims to present the chirp-scaling algorithm (CSA) for real-time SAR applications, using advanced field programmable gate array (FPGA) processor. Design/methodology/approach A chirp signal is generated and compressed using range Doppler algorithm in MATAB for validation. Fast Fourier transform (FFT) and multiplication operations with complex data types are the major units requiring heavy computation. Therefore, hardware acceleration is proposed and implemented on NEON-FPGA processor using NE10 and CEPHES library. Findings The heuristic analysis of the algorithm using timing analysis and resource usage is presented. It has been observed that FFT execution time is reduced by 61% by boosting the performance of the algorithm and speed of multiplication operation has been doubled because of the optimization. Originality/value Very few literatures have presented the FPGA-based SAR imaging implementation, where analysis of windowing technique was a major interest. This is a unique approach to implement the SAR CSA using a hybrid approach of hardware–software integration on Zynq FPGA. The timing analysis propagates that it is suitable to use this model for real-time SAR applications.

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A Chirp Scaling Algorithm for Forward-Looking Linear-Array SAR With Constant Acceleration

Cited by 20 publications

References 4 publications

A Real-Time Imaging Algorithm Based on Sub-Aperture CS-Dechirp for GF3-SAR Data

A Real-Time Imaging Algorithm Based on Sub-Aperture CS-Dechirp for GF3-SAR Data

Airborne forward‐looking radar imaging approach via modified propagator method in planar phased array

Hardware accelerated range Doppler algorithm for SAR data processing using Zynq processor

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