Open Access

ARTICLE

Efficient Strip-Mode SAR Raw-Data Simulator of Extended Scenes Included Moving Targets Based on Reversion of Series

by Liang Yang, Daojian Zeng, Jianhua Yan, Yaozhang Sai

1 School of Information and Electrical Engineering, Ludong University, Yantai, 264025, China.
2 Changsha University of Science & Technology, Changsha, 410004, China.
3 Mathematics Department, Florida Atlantic University, Florida, 33431, USA.

* Corresponding Author: Liang Yang. Email: .

Computers, Materials & Continua 2020, 64(1), 313-323. https://doi.org/10.32604/cmc.2020.09809

Received 20 January 2020; Accepted 08 March 2020; Issue published 20 May 2020

Abstract

The Synthetic Aperture Radar (SAR) raw data generator is required to the evaluation of focusing algorithms, moving target analysis, and hardware design. The time-domain SAR simulator can generate the accurate raw data but it needs much time. The frequency-domain simulator not only increases the efficiency but also considers the trajectory deviations of the radar. In addition, the raw signal of the extended scene included static and moving targets can be generated by some frequency-domain simulators. However, the existing simulators concentrate on the raw signal simulation of the static extended scene and moving targets at uniform speed mostly. As for the issue, the two-dimensional signal spectrum of moving targets with constant acceleration can be derived accurately based on the geometric model of a side-looking SAR and reversion of series. And a frequency-domain algorithm for SAR echo signal simulation is presented based on the two-dimensional signal spectrum. The raw data generated with proposed method is verified by several simulation experiments. In addition to reveal the efficiency of the presented frequency-domain SAR scene simulator, the computational complexity of the proposed method is compared with the time-domain approach using the complex multiplication. Numerical results demonstrate that the present method can reduce the computational time significantly without accuracy loss while simulating SAR raw data.

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Keywords

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