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Updated: Jun 17, 2026

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

Multistatic synthetic aperture radar image formation.

V Krishnan¹, J Swoboda, C E Yarman

¹Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA. krishv2@rpi.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|January 7, 2010

Summary

This summary is machine-generated.

This study introduces a new filtered-backprojection algorithm for multistatic synthetic aperture radar (SAR) imaging. The method effectively suppresses image artifacts caused by interference, improving clarity in radar imaging.

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Area of Science:

Signal Processing
Electromagnetics
Imaging Science

Background:

Multistatic synthetic aperture radar (SAR) systems involve multiple transmitters and receivers, leading to complex signal interferences.
Standard bistatic SAR algorithms struggle with artifacts in images due to these interferences and arbitrary flight paths.

Purpose of the Study:

Develop an analytic image formation method for multistatic SAR.
Suppress interference-induced artifacts while preserving scene edge information.
Enhance image quality in complex SAR scenarios.

Main Methods:

Utilized microlocal analysis in a statistical setting.
Developed a filtered-backprojection (FBP)-type analytic image formation algorithm.
Exploited second-order statistics of target and noise for artifact suppression.

Main Results:

The proposed FBP-type algorithm successfully suppresses artifacts caused by signal interference.
The method preserves the location and orientation of scene edges in reconstructed images.
Numerical simulations validated the algorithm's performance against standard bistatic SAR reconstruction.

Conclusions:

The developed algorithm offers an effective solution for artifact suppression in multistatic SAR imaging.
The image formation method is robust and applicable to various imaging fields beyond radar.
This work advances the capabilities of multistatic SAR imaging systems.