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Updated: Sep 16, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Spaceborne Sparse SAR Imaging Mode Design: From Theory to Implementation.

Yufan Song^1,2, Hui Bi^1,2, Fuxuan Cai^1,2

¹College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.

Sensors (Basel, Switzerland)

|July 12, 2025

Summary

This summary is machine-generated.

Sparse SAR imaging modes enhance swath coverage and image quality by reducing pulse repetition rate, addressing data challenges in modern spaceborne radar systems.

Keywords:

beam position mode design sparse SAR imaging synthetic aperture radar (SAR)

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Last Updated: Sep 16, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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Published on: February 12, 2014

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

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Published on: July 30, 2020

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Published on: July 25, 2022

Area of Science:

Remote Sensing
Signal Processing

Background:

Spaceborne Synthetic Aperture Radar (SAR) systems face trade-offs between resolution and swath coverage.
High-resolution wide-swath imaging presents challenges in data acquisition, storage, and transmission.
Sparse signal processing offers potential solutions for improving SAR system performance.

Purpose of the Study:

To systematically introduce the design scheme of spaceborne sparse SAR imaging modes.
To analyze system performance using radar equations and designed sparse modes.
To present a sparse SAR imaging method for high-quality image reconstruction.

Main Methods:

Designing sparse mode beam positions based on traditional modes.
Calculating essential parameters for system performance analysis.
Employing a mixed-norm regularization-based sparse SAR imaging method.

Main Results:

Designed sparse modes achieve wider swath coverage by reducing pulse repetition rate (PRF) without hardware changes.
Reduced PRF significantly lowers the system data rate.
Mixed-norm regularization effectively solves azimuth ambiguity signal ratio (AASR) issues.

Conclusions:

Spaceborne sparse SAR imaging modes offer a viable solution for high-resolution wide-swath earth observation.
The proposed method enables wider coverage and reduced data rates while maintaining image quality.
Sparse SAR imaging with mixed-norm regularization overcomes limitations of traditional SAR systems.