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

Hiren K. Mewada (Department of Electrical Engineering, Prince Mohammad Bin Fahd University, Al Khobar, Kingdom of Saudi Arabia)
Jitendra Chaudhari (Chandubhai S Patel Institute of Technology, Charotar University of Science and Technology, Changa, India)
Amit V. Patel (Chandubhai S Patel Institute of Technology, Charotar University of Science and Technology, Changa, India)
Keyur Mahant (CHARUSAT Space Research and Technology Center, Charotar University of Science and Technology, Changa, India)
Alpesh Vala (Chandubhai S Patel Institute of Technology, Charotar University of Science and Technology, Changa, India)

Circuit World

ISSN: 0305-6120

Article publication date: 15 July 2020

Issue publication date: 8 June 2021

218

Abstract

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.

Keywords

Citation

Mewada, H.K., Chaudhari, J., Patel, A.V., Mahant, K. and Vala, A. (2021), "Hardware accelerated range Doppler algorithm for SAR data processing using Zynq processor", Circuit World, Vol. 47 No. 2, pp. 184-193. https://doi.org/10.1108/CW-02-2020-0031

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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