# Deep Analysis of Imaging Characteristics of Spaceborne SAR Systems as Affected by Antennas Using 3D Antenna Pattern

## TL;DR

This paper explores how using 3D antenna patterns improves the accuracy of simulating spaceborne SAR imaging characteristics before launch.

## Contribution

The paper introduces a novel simulation method using 3D antenna patterns to enhance SAR system simulation accuracy and realism.

## Key findings

- Using 3D antenna patterns improves simulation fidelity and realism compared to traditional 2D methods.
- The study highlights differences in SAR imaging characteristics between phased array and reflector antennas under various observation geometries.
- Integrating 3D antenna patterns supports better design validation and reduces development risks for SAR systems.

## Abstract

Spaceborne Synthetic Aperture Radar (SAR) has become an indispensable tool for environmental monitoring, offering all-weather, day-and-night imaging capabilities. Before the launch, accurately analyzing the imaging characteristics of spaceborne SAR systems on the ground is crucial, and the antenna system is a very important part of SAR system simulation. This paper investigates the impact of antenna configuration on SAR imaging characteristics by using 3D antenna pattern, focusing on resolution consistency, coverage uniformity, and system adaptability under varying observation geometries. Different from the traditional SAR simulation with 2D antenna pattern (range direction and azimuth direction antenna pattern), we provide a novel simulation method by using 3D antenna pattern, which increases the simulation accuracy and realism. The two mainstream spaceborne SAR antennas (phased array antenna (PAA) and reflector antenna (RA)) are used to illustrate the differences between 2D antenna pattern and 3D antenna pattern. We provide a comparative analysis in the context of high-resolution and wide-swath imaging missions. Additionally, the importance of integrating 3D antenna pattern into SAR system simulation is emphasized, as it improves simulation fidelity, reduces development risk, and supports design validation. This study provides insights for the design and optimization of future SAR system simulation.