Abstract

To address the low-resolution imaging problem in relation to traditional Range Doppler (RD) algorithm, this paper intends to propose a new algorithm based on Fractional Fourier Transform (FrFT), which proves highly advant... | Find, read and cite all the research you need on Tech Science Press

Highlights

  • Synthetic aperture radar (SAR) is a form of radar that is used to create two-dimensional images or three-dimensional reconstructions of objects [Zhang, Liang and Yang (2018)], such as landscapes

  • The application of Fractional Fourier Transform (FrFT) to SAR imaging processing has been a focus of research in recent years [Ramona, Nicolas, Grégoire et al (2016); El-Mashed, Zahran, Dessouky et al (2013); Wang and Jiang (2018); Huang, Xia, Gao et al (2019); Zhang and Jiang (2016); Wang and Wang (2020)], and researchers are interested in the fractional orders

  • The original SAR range signals and range compression reference function are both transformed by FrFT with the order to complete range pulse compression and range cell migration correction (RCMC) [Wang and Wang (2020)], and the range signals are reconstructed by fractional inverse Fourier transform with the order 1

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Summary

Introduction

Synthetic aperture radar (SAR) is a form of radar that is used to create two-dimensional images or three-dimensional reconstructions of objects [Zhang, Liang and Yang (2018)], such as landscapes. The literature [Chen, Zhao, Chen et al (2014)] has measured the frequency modulation of SAR echo signals by way of local optimal processing and has calculated the optimal order of FrFT This algorithm is effective in improving the imaging performance of missile-borne SAR according to its experimental results, but it is not universally applicable. In an attempt to address the low resolution problem of traditional RD algorithm, this paper begins with the use of FrFT analysis to obtain the optimal processing order of SAR raw signals, establishes a new SAR imaging algorithm to complete pulse compression and range migration in the corresponding FrFT domain, and concludes with a presentation of experimental results and an analysis of the measured data of the space-borne RADARSAT-1

SAR imaging model
Order analysis of SAR echo signals using fractional Fourier transform
Construction of optimal time-frequency transform domain
Construction of high resolution SAR imaging algorithm
Data processing results and analysis
Findings
Discussion
Conclusion
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