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Related Experiment Video

Updated: Mar 27, 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

Range-doppler algorithm of multireceiver synthetic aperture sonar using nonuniform signal.

Pan Huang¹, Yan Fan², Xiaojie Teng³

¹School of Mathematics and Statistics, Weifang University, Weifang, Shandong, China.

|March 24, 2026

Summary

This study introduces a robust imaging algorithm for multireceiver synthetic aperture sonar (SAS) to improve image resolution in nonuniform environments. The new method effectively enhances SAS imaging, even with redundant receivers, providing high-resolution results consistently.

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Last Updated: Mar 27, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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Published on: February 12, 2014

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

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Area of Science:

Marine acoustics
Signal processing
Synthetic aperture sonar imaging

Background:

Multireceiver synthetic aperture sonar (SAS) imaging struggles with resolution in nonuniform environments.
Existing techniques are insufficient for complex or slightly nonuniform scenarios.

Purpose of the Study:

To develop a robust imaging algorithm for multireceiver SAS.
To enhance image resolution and focusing capabilities in challenging acoustic conditions.

Main Methods:

A novel algorithm determines optimal receivers for imaging.
It models the multireceiver SAS spectrum, separating monostatic and bistatic components.
Sub-block filtering, coherent addition in the range-Doppler domain, and spectral domain range compression are employed.
Interpolation is used to remove directional coupling before azimuth compression.

Main Results:

The algorithm successfully focuses SAS datasets in slight nonuniform and redundant receiver scenarios.
It consistently achieves high-resolution imaging, outperforming traditional methods.
Simulations and experimental results validate the algorithm's effectiveness.

Conclusions:

The proposed robust imaging algorithm significantly improves multireceiver SAS performance.
It offers a reliable solution for achieving high-resolution sonar images in complex environments.
The method demonstrates superior focusing capabilities compared to conventional approaches.