Have a personal or library account? Click to login
The Method of Reducing Distortions in the Radar Image of the Earth’s Surface Caused by Changes in the Course of the Movement of the Synthetic Aperture Radar Cover

The Method of Reducing Distortions in the Radar Image of the Earth’s Surface Caused by Changes in the Course of the Movement of the Synthetic Aperture Radar

Open Access
|Dec 2025

Abstract

The article addresses distortions in synthetic aperture radar (SAR) images caused by the non-linear motion of the radar platform. Such motion, often due to navigation errors, environmental factors, or maneuvering, introduces Doppler frequency components into the received signal. These distortions lead to reduced image intensity and multiple displaced replicas of objects along the flight path. Analytical and simulation results show intensity can drop to 45% of the undistorted value, with object replicas appearing at regular intervals related to Doppler shift and system parameters. To counter this, the paper proposes a method that estimates Doppler components and applies a time-dependent phase correction via numerical integration. This correction is implemented before standard SAR processing and does not require precise knowledge of the platform’s trajectory. The study has a predominantly theoretical character, and the validation of the proposed method was carried out exclusively through numerical simulations without the use of real experimental data. Simulations show that with up to 20% estimation error, image intensity is restored to 85% and artifacts are suppressed. The method is efficient, practical, and compatible with existing SAR systems.

Language: English
Page range: 27 - 37
Submitted on: Nov 11, 2025
Accepted on: Nov 19, 2025
Published on: Dec 6, 2025
Published by: Gheorghe Asachi Technical University of Iasi
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2025 Andrei Sidorov, Svetlana Svistova, Tatiana Nikitina, published by Gheorghe Asachi Technical University of Iasi
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.