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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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Improved Methods for Fourier-Based Microwave Imaging.

Yuri Alvarez López¹, Fernando Las-Heras Andrés¹

¹Area of Signal Theory and Communications, Department of Electrical Engineering, Universidad de Oviedo, Edificio Polivalente, Mod. 8, Campus Universitario de Gijón, 33203 Gijón, Spain.

Sensors (Basel, Switzerland)

|November 25, 2023

Summary

This study enhances Fourier-based microwave imaging by incorporating antenna field effects for improved accuracy. The modified algorithm shows superior performance, especially in subsampled imaging scenarios, outperforming existing aliasing mitigation techniques.

Keywords:

Fourier-based imaging antenna measurement delay-and-sum (DAS)microwave imaging plane wave spectrum (PWS)

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Area of Science:

Electromagnetics
Microwave Imaging
Signal Processing

Background:

Fourier-based and delay-and-sum (DAS) algorithms are common in microwave imaging.
These methods typically use a far-field approximation for electromagnetic fields.
Existing techniques may face limitations in accuracy and aliasing mitigation.

Purpose of the Study:

To improve the accuracy of Fourier-based microwave imaging algorithms.
To account for the electromagnetic fields radiated by Transmit/Receive (Tx/Rx) antennas.
To evaluate the performance in subsampled imaging and compare with aliasing mitigation methods.

Main Methods:

A modified Fourier-based imaging algorithm is proposed.
The algorithm incorporates the Tx/Rx antenna's radiated field.
Quantitative and qualitative analyses are performed on imaged targets.
Performance is compared against other aliasing mitigation techniques in subsampled scenarios.

Main Results:

The modified algorithm demonstrates improved accuracy in microwave imaging.
The inclusion of antenna fields positively impacts the imaging of targets.
The proposed method shows competitive or superior performance in subsampled imaging scenarios.

Conclusions:

Incorporating antenna fields enhances Fourier-based microwave imaging accuracy.
The modified approach offers a valuable alternative for aliasing mitigation.
This work advances the field of accurate and efficient microwave imaging.